Today we are glad to announce that we have added a list of books that a top expert in the area of Natural Language Processing and Machine Learning has used in some the courses he has taught. The list belongs to Professor Andrew McCallum, and are in the area of Machine Learning, Natural Language Processing, and Graphical Models. Here is a short biography of Professor McCallum:
Distinguished Professor and Director of the Center for Data Science in the College of Information and Computer Sciences at the University of Massachusetts Amherst., Ph.D. - University of Rochester.
Andrew McCallum is a Distinguished Professor and Director of the Center for Data Science in the College of Information and Computer Sciences at the University of Massachusetts Amherst. He has published over 300 papers in many areas of artificial intelligence, including natural language processing, machine learning, data mining and reinforcement learning; his work has received over 70,000 citations. He received his PhD from University of Rochester in 1995 with Dana Ballard and a postdoctoral fellowship from Carnegie Mellon University with Tom Mitchell and Sebastian Thrun. Afterward he worked in an industrial research lab, where he spearheaded the creation of CORA, an early research paper search engine that used machine learning for spidering, extraction, classification and citation analysis. In the early 2000’s he was Vice President of Research and Development at at WhizBang Labs, a 170-person start-up company that used machine learning for information extraction from the Web. He was named a AAAI Fellow in 2009, and an ACM Fellow in 2017. He is the recipient of two NSF ITR awards, the UMass Chancellor’s Award for Outstanding Accomplishments in Research and Creative Activity, the UMass Lilly Teaching Fellowship, and research awards from IBM, Microsoft, Facebook, and Google. He is also a member of the editorial board of the Journal of Machine Learning Research. He has given tutorials or invited talks at NIPS, KDD, EMNLP, ISWC, and elsewhere. He organized the first workshop on Automated Knowledge Base Construction in 2009, and is the instigator and General Chair of the first international conference on Automated Knowledge Base Construction in 2019. He is also the creator of OpenReview.net, which is being used for peer review management and/or reviewer assignment by ICLR, UAI, COLT, ICML, CVPR, and ECCV.
Today we are happy to announce that we have added a list of books that a top expert in the area of AI and Machine Learning has used in some the courses he has taught. The list belongs to Professor Ruslan Salakhutdinov, and are in the area of Machine Learning, and Control. Here is a short biography of Professor Salakhutdinov:
Ruslan Salakhutdinov received his PhD in machine learning (computer science) from the University of Toronto in 2009. After spending two post-doctoral years at the Massachusetts Institute of Technology Artificial Intelligence Lab, he joined the University of Toronto as an Assistant Professor in the Department of Computer Science and Department of Statistics. In February of 2016, he joined the Machine Learning Department at Carnegie Mellon University.
Ruslan’s primary interests lie in deep learning, machine learning, and large-scale optimization. His main research goal is to understand the computational and statistical principles required for discovering structure in large amounts of data. He is an action editor of the Journal of Machine Learning Research and served on the senior programme committee of several learning conferences including NIPS and ICML. He is an Alfred P. Sloan Research Fellow, Microsoft Research Faculty Fellow, Canada Research Chair in Statistical Machine Learning, a recipient of the Early Researcher Award, Connaught New Researcher Award, Google Faculty Award, Nvidia’s Pioneers of AI award, and is a Senior Fellow of the Canadian Institute for Advanced Research.
Today we are beyond excited to announce that we have added a list of books recommended by a world-renowned expert in Biological, Biomedical, and Chemical Engineering. The list belongs to Professor Robert Langer, and are in the area of Biomedical Engineering. He was very kind and despite his super busy schedule responded to our request with a book list. Here is a short biography of Professor Langer:
Robert S. Langer is one of 12 Institute Professors at MIT; being an Institute Professor is the highest honor that can be awarded to a faculty member. Dr. Langer has written more than 1,500 articles. He also has over 1,400 issued and pending patents worldwide. Dr. Langer’s patents have been licensed or sublicensed to over 400 pharmaceutical, chemical, biotechnology and medical device companies. He is the most cited engineer in history (h-index 295 with over 355,000 citations according to Google Scholar).
He served as a member of the United States Food and Drug Administration’s SCIENCE Board, the FDA’s highest advisory board, from 1995 — 2002 and as its Chairman from 1999-2002.
Dr. Langer has received over 220 major awards. He is one of 3 living individuals to have received both the United States National Medal of Science (2006) and the United States National Medal of Technology and Innovation (2011). He also received the 1996 Gairdner Foundation International Award, the 2002 Charles Stark Draper Prize, considered the equivalent of the Nobel Prize for engineers, the 2008 Millennium Prize, the world’s largest technology prize, the 2012 Priestley Medal, the highest award of the American Chemical Society, the 2013 Wolf Prize in Chemistry, the 2014 Breakthrough Prize in Life Sciences and the 2014 Kyoto Prize. In 2015, Dr. Langer received the Queen Elizabeth Prize for Engineering. Among numerous other awards Langer has received are the Dickson Prize for Science (2002), the Heinz Award for Technology, Economy and Employment (2003), the Harvey Prize (2003), the John Fritz Award (2003) (given previously to inventors such as Thomas Edison and Orville Wright), the General Motors Kettering Prize for Cancer Research (2004), the Dan David Prize in Materials Science (2005), the Albany Medical Center Prize in Medicine and Biomedical Research (2005), the largest prize in the U.S. for medical research, induction into the National Inventors Hall of Fame (2006), the Max Planck Research Award (2008), the Prince of Asturias Award for Technical and Scientific Research (2008), the Warren Alpert Foundation Prize (2011), the Terumo International Prize (2012), the Benjamin Franklin Medal in Life Science (2016), the Kabiller Prize in Nanoscience and Nanomedicine (2017), the Dreyfus Prize in Chemical Science (2019), the Medal of Science (Portugal’s highest honor, 2020) and the Maurice-Marie Janot Award (2020). In 1998, he received the Lemelson-MIT prize, the world’s largest prize for invention for being “one of history’s most prolific inventors in medicine.” In 1989 Dr. Langer was elected to the National Academy of Medicine, in 1992 he was elected to both the National Academy of Engineering and to the National Academy of Sciences, and in 2012 he was elected to the National Academy of Inventors.
Forbes Magazine (1999) and Bio World (1990) have named Dr. Langer as one of the 25 most important individuals in biotechnology in the world. Discover Magazine (2002) named him as one of the 20 most important people in this area. Forbes Magazine (2002) selected Dr. Langer as one of the 15 innovators worldwide who will reinvent our future. Time Magazine and CNN (2001) named Dr. Langer as one of the 100 most important people in America and one of the 18 top people in science or medicine in America (America’s Best). Parade Magazine (2004) selected Dr. Langer as one of 6 “Heroes whose research may save your life.” Dr. Langer has received 36 honorary doctorates. They include degrees from Harvard University, the Mt. Sinai School of Medicine, Yale University, Columbia University, the Memorial Sloan Kettering Cancer Center Gerstner Graduate School, the University of Maryland, the University of Western Ontario (Canada), ETH (Switzerland), the Technion (Israel), the Hebrew University of Jerusalem (Israel), the Universite Catholique de Louvain (Belgium), Rensselaer Polytechnic Institute, Willamette University, the University of Liverpool (England), Bates College, the University of Nottingham (England), Albany Medical College, Pennsylvania State University, Northwestern University, Uppsala University (Sweden), Tel Aviv University (Israel), Boston University, Ben Gurion University (Israel), the University of Laval (Canada), Carnegie Mellon University, Drexel University, Hanyang University (South Korea), the University of New South Wales (Australia), Karolinska Institutet (Sweden), Hong Kong University of Science and Technology (Hong Kong), the National Institute of Astrophysics, Optics and Electronics (Mexico), the University of Limerick (Ireland), the University of Illinois, Ohio State University, Olin College of Engineering and the University of California – San Francisco Medal. He received his Bachelor’s Degree from Cornell University in 1970 and his Sc.D. from the Massachusetts Institute of Technology in 1974, both in Chemical Engineering.
Today we are very happy to announce that we have added a list of books that have been used by a world-renowned expert in AI, Robotics, and Computer Vision. The list belongs to Dr. Sebastian Thrun, and are in the areas of Robotics, and Computer Vision. Here is a short biography of Dr. Thrun:
Sebastian Thrun (born May 14, 1967) is an German-American entrepreneur, educator, and computer scientist. He is CEO of Kitty Hawk Corporation, and chairman and co-founder of Udacity. Before that, he was a Google VP and Fellow, a Professor of Computer Science at Stanford University, and before that at Carnegie Mellon University. At Google, he founded Google X and Google’s self-driving car team. He is also an Adjunct Professor at Stanford University and at Georgia Tech.
Thrun led development of the robotic vehicle Stanley which won the 2005 DARPA Grand Challenge, and which has since been placed on exhibit in the Smithsonian Institution’s National Museum of American History. His team also developed a vehicle called Junior, which placed second at the DARPA Grand Challenge in 2007. Thrun led the development of the Google self-driving car.
Thrun is also known for his work on probabilistic algorithms for robotics with applications including robotic mapping. In recognition of his contributions, and at the age of 39, he was elected into the National Academy of Engineering and also into the Academy of Sciences Leopoldina in 2007. The Guardian recognized him as one of 20 “fighters for internet freedom”.
Today we are very excited to announce that we have added a list of books that have been used by a world-renowned expert in information theory, digital communications and AI. The list belongs to Professors David Tse of Stanford University and are in the areas of Signal Processing, Biomedical Engineering, Information Theory, Math, Coding, and Networking. Here is a short biography of Professor Tse:
David Tse received the BASc degree in systems design engineering from University of Waterloo in 1989, and the MS and PhD degrees in electrical engineering from Massachusetts Institute of Technology in 1991 and 1994 respectively. From 1994 to 1995, he was a postdoctoral member of technical staff at A.T. & T. Bell Laboratories. From 1995 to 2014, he was on the faculty of the University of California at Berkeley. He is currently the Thomas Kailath and Guanghan Xu Professor at Stanford University.
David Tse was elected member of the U.S. National Academy of Engineering in 2018. He was the recipient of the IEEE Claude E. Shannon Award in 2017 and the IEEE Richard W. Hamming Medal in 2019. Previously, he received a NSF CAREER award in 1998, the Erlang Prize from the INFORMS Applied Probability Society in 2000 and a Gilbreth Lectureship from the National Academy of Engineering in 2012. He received multiple best paper awards, including the Information Theory Society Paper Award in 2003, the IEEE Communications Society and Information Theory Society Joint Paper Awards in 2000, 2013 and 2015, the Signal Processing Society Best Paper Award in 2012 and the IEEE Communications Society Stephen O. Rice Prize in 2013. For his contributions to education, he received the Outstanding Teaching Award from the Department of Electrical Engineering and Computer Sciences at U.C. Berkeley in 2008 and the Frederick Emmons Terman Award from the American Society for Engineering Education in 2009. He is a coauthor, with Pramod Viswanath, of the text Fundamentals of Wireless Communication, which has been used in over 60 institutions around the world. He is the inventor of the proportional-fair scheduling algorithm used in all third and fourth-generation cellular systems, serving 2.7 billion subscribers around the world. He is a member of the Stanford Center for Blockchain Research.
Today we are very excited to announce that we have added a list of books that have been used by a world-renowned expert in machine learning and AI. The list belongs to Professors Zoubin Ghahramani of the University of Cambridge and are in the areas of Machine Learning and Statistics . Here is a short biography of Professor Ghahramani:
Zoubin Ghahramani FRS is a British-Iranian researcher and Professor of Information Engineering at the University of Cambridge. He holds joint appointments at University College London and the Alan Turing Institute.and has been a Fellow of St John’s College, Cambridge since 2009. He was Associate Research Professor at Carnegie Mellon University School of Computer Science from 2003-2012. He was also the Chief Scientist of Uber from 2016 until 2020. He joined Google Brain in 2020 as senior research director. He is also Deputy Director of the Leverhulme Centre for the Future of Intelligence.
Professor Ghahramani was educated at the American School of Madrid in Spain and the University of Pennsylvania where he was awarded a double major degree in Cognitive Science and Computer Science in 1990. He obtained his Ph.D. from the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology, supervised by Michael I. Jordan and Tomaso Poggio.
Today we are very excited to announce that we have added a list of books that have been used by a world-renowned expert in machine learning and AI. The list belongs to Professors Fei-Fei Li of Stanford University and are in the area of Machine Learning. Here is a short biography of Professor Li:
Dr. Fei-Fei Li is the inaugural Sequoia Professor in the Computer Science Department at Stanford University, and Co-Director of Stanford’s Human-Centered AI Institute. She served as the Director of Stanford’s AI Lab from 2013 to 2018. And during her sabbatical from Stanford from January 2017 to September 2018, she was Vice President at Google and served as Chief Scientist of AI/ML at Google Cloud. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. She joined Stanford in 2009 as an assistant professor. Prior to that, she was on faculty at Princeton University (2007-2009) and University of Illinois Urbana-Champaign (2005-2006).
Dr. Fei-Fei Li’s current research interests include cognitively inspired AI, machine learning, deep learning, computer vision and AI+healthcare especially ambient intelligent systems for healthcare delivery. In the past she has also worked on cognitive and computational neuroscience. Dr. Li has published more than 200 scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, ICRA, IROS, RSS, IJCV, IEEE-PAMI, New England Journal of Medicine, Nature Digital Medicine, etc. Dr. Li is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. In addition to her technical contributions, she is a national leading voice for advocating diversity in STEM and AI. She is co-founder and chairperson of the national non-profit AI4ALL aimed at increasing inclusion and diversity in AI education.
Dr. Li is an elected Member of the National Academy of Engineering (NAE), the National Academy of Medicine (NAM) and American Academy of Arts and Sciences (AAAS). She is also a Fellow of ACM, a member of the Council on Foreign Relations (CFR), a recipient of the 2019 IEEE PAMI Longuet-Higgins Prize, 2019 National Geographic Society Further Award, 2017 Athena Award for Academic Leadership, IAPR 2016 J.K. Aggarwal Prize, the 2016 IEEE PAMI Mark Everingham Award, the 2016 nVidia Pioneer in AI Award, 2014 IBM Faculty Fellow Award, 2011 Alfred Sloan Faculty Award, 2012 Yahoo Labs FREP award, 2009 NSF CAREER award, the 2006 Microsoft Research New Faculty Fellowship, among others. Dr. Li is a keynote speaker at many academic or influential conferences, including the World Economics Forum (Davos), the Grace Hopper Conference 2017 and the TED2015 main conference. Work from Dr. Li’s lab have been featured in a variety of magazines and newspapers including New York Times, Wall Street Journal, Fortune Magazine, Science, Wired Magazine, MIT Technology Review, Financial Times, and more. She was selected as a 2017 Women in Tech by the ELLE Magazine, a 2017 Awesome Women Award by Good Housekeeping, a Global Thinker of 2015 by Foreign Policy, and one of the “Great Immigrants: The Pride of America” in 2016 by the Carnegie Foundation, past winners include Albert Einstein, Yoyo Ma, Sergey Brin, et al.
Today we are happy to announce that we have added a list of books that have been used by a top computer scientist in some of the courses he teaches. The list belongs to Professors Dieter Fox of the University of Washington and are in the areas of Robotics, Artificial Intelligence, and Math. Here is a short biography of Professor Fox:
Dieter Fox is a Professor in the Department of Computer Science & Engineering at the University of Washington. He grew up in Bonn, Germany, and received his Ph.D. in 1998 from the Computer Science Department at the University of Bonn. He joined the University of Washington faculty in the fall of 2000.
Professor Fox currently shares his time between the University of Washington and Nvidia, where he is leading the Robotics Research Lab in Seattle.
His research interests are in robotics, artificial intelligence, and state estimation. He is the head of the the University of Washington Robotics and State Estimation Lab RSE-Lab and recently served as the academic PI of the Intel Science and Technology Center for Pervasive Computing ISTC-PC. Professor Fox is a Fellow of the AAAI and IEEE, recipient of the IEEE RAS Pioneer Award, and served as an editor of the IEEE Transactions on Robotics.
Today we have added list of books that have been used for teaching courses by two top experts. Professors William Freeman and David Karger of MIT are top experts in their fields. Here are short biography of these two experts:
Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science (EECS) at MIT, and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL), Ph.D. - MIT
William T. Freeman is the Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science (EECS) at MIT, and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL) there. He was the Associate Department Head of EECS from 2011 - 2014. Since 2015, he has also been a research manager in Google Research in Cambridge, MA.
His current research interests include mid-level vision and computational photography. Previous research topics include steerable filters and pyramids, orientation histograms, the generic viewpoint assumption, color constancy, computer vision for computer games, motion magnification, and belief propagation in networks with loops. He received outstanding paper awards at computer vision or machine learning conferences in 1997, 2006, 2009, 2012 and 2019, and test-of-time awards for papers from 1990, 1995 and 2005. He shared the 2020 Breakthrough Prize in Physics for a consulting role with the Event Horizon Telescope collaboration, which reconstructed the first image of a black hole. He is a member of the National Academy of Engineering, and a Fellow of the IEEE, ACM, and AAAI. In 2019, he received the PAMI Distinguished Researcher Award, the highest award in computer vision.
David Karger (A.B. Summa cum laude in Computer Science, 1989, Harvard University, Ph.D., 1994, in Computer Science, Stanford University) is a Professor of Computer Science at MIT.
Karger splits his research between algorithms and information retrieval. His work in algorithms has focused on applications of randomization to optimization problems and led to significant progress on several core problems. He has also researched applications of theoretical ideas to applied areas such as compilers and networks.
His dissertation received the 1994 ACM doctoral dissertation award and the Mathematical Programming Society’s 1997 Tucker Prize. His research in information retrieval has focused on new interfaces and algorithms for helping people sift effectively through large masses of information. His work on the Scatter/Gether browsing system at Xerox PARC led to two patents.
More recently he has been researching retrieval systems that personalize themselves to best fit their individual users' needs and behaviors. He recently received the National Academy of Science’s 2004 Award for Initiative in research.
Karger leads CSAIL’s Haystack group, which researches many facets of information management including capture, organization, retrieval, sharing, and visualization.
Today we are very excited to announce that we have received a list of books, from a world-renowned experts in the area of AI and machine learning. Professor Daniel Weld, of the University of Washington has kindly sent us his book recommendations. Here is a short biography of Professor Weld:
Daniel S. Weld is Thomas J. Cable / WRF Professor in the Paul G. Allen School of Computer Science & Engineering and manages the Semantic Scholar research group at the Allen Institute of Artificial Intelligence. After formative education at Phillips Academy, he received bachelor’s degrees in both Computer Science and Biochemistry at Yale University in 1982. He landed a Ph.D. from the MIT Artificial Intelligence Lab in 1988, received a Presidential Young Investigator’s award in 1989, an Office of Naval Research Young Investigator’s award in 1990, was named AAAI Fellow in 1999 and deemed ACM Fellow in 2005. Dan was a founding editor for the Journal of AI Research, was area editor for the Journal of the ACM, guest editor for Computational Intelligence and Artificial Intelligence, and was Program Chair for AAAI-96. Dan has published two books and scads of technical papers. Professor Weld is an active entrepreneur with several patents and technology licenses. He co-founded Netbot Incorporated, creator of Jango Shopping Search (acquired by Excite), AdRelevance, a monitoring service for internet advertising (acquired by Nielsen NetRatings), and data integration company Nimble Technology (acquired by Actuate). He is a Venture Partner at the Madrona Venture Group and on the Scientific Advisory Boards of the Allen Institute for Artificial Intelligence and the Madrona Venture Group.
Today we are very happy to be back with a list of books that Professor Jennifer Widom, a world-renowned computer scientist, has used in the courses she has taught. The books are in the area of Databases. Here is a short biography of Professor Widom:
Frederick Emmons Terman Dean of the School of Engineering, and Fletcher Jones Professor in Computer Science and Electrical Engineering at Stanford University, Ph.D. - Cornell University.
Jennifer Widom is the Frederick Emmons Terman Dean of the School of Engineering and the Fletcher Jones Professor in Computer Science and Electrical Engineering at Stanford University. She served as Computer Science Department Chair from 2009-2014 and School of Engineering Senior Associate Dean from 2014-2016. Jennifer received her Bachelor’s degree from the Indiana University Jacobs School of Music in 1982 and her Computer Science Ph.D. from Cornell University in 1987. She was a Research Staff Member at the IBM Almaden Research Center before joining the Stanford faculty in 1993. Her research interests span many aspects of nontraditional data management. She is an ACM Fellow and a member of the National Academy of Engineering and the American Academy of Arts & Sciences; she received a Guggenheim Fellowship in 2000, the ACM SIGMOD Edgar F. Codd Innovations Award in 2007, the ACM-W Athena Lecturer Award in 2015, and the EPFL-WISH Foundation Erna Hamburger Prize in 2018.
Happy 2021 our dear readers 🎉. We wish you a very happy and healthy new year. We hope that this year we can bring you even more useful lists. Thank you very much for your support during 2020, your comments and feedback have been a great source of encouragement and inspiration. We are looking forward to hearing from you this year as well.
To kick off the new year we have posted two new articles. The first is about Giving a Good Talk. In this article, we have summarized some fantastic suggestions from some amazing presenters and experts on how to give a good talk and how to prepare an amazing presentation. The second article is about Our Most Recommended Machine Learning Books. In this article, we have looked at the list of top machine learning books that have been either recommended by experts or have been used by some world-renowned experts to teach machine learning. The list includes four books that have been recommended by at least two experts. We hope you find this list useful.
Once again happy new year, please help us to make Dorado List as useful as possible by sending us your feedback and by helping to spread the word about us 🙏.
It has been a while since we have published a post, but today we are happy to add list of books that have been used by a world-class expert in signal processing. The list is based on the books that Professor Alan Willsky of MIT has used in the courses he has taught. Here is a short biography of Professor Willsky:
Alan S. Willsky is the Edwin Sibley Webster Professor in the Dept. of Electrical Engineering and Computer Science (retired) at MIT which he joined in 1973, and leads the Stochastic Systems Group. through June 2014. Dr. Willsky served as Director of MIT’s Laboratory for Information and Decision Systems from 2009 through June 2014 (previously as Co-Director 2008-09; Acting Director 2007-08, Asst. Director 1974-81). He is an IEEE fellow and an elected member of the NAE. He is also a founder and member of the board of directors of Alphatech, Inc. (now BAE Systems). In 1975, he received the Donald P. Eckman Award from the American Automatic Control Council. Dr. Willsky has held visiting positions at Imperial College, London, L’Universite de Paris-Sud, and the Institut de Recherche en Informatique et Systemes Aleatoires in Rennes, France. He has served as a co-organizer of International Conferences and workshops, and as an associate editor of several IEEE and mathematical journals and as special guest editor of the first special issue of the IEEE Transactions on Information Theory on wavelet transforms and multiresolution signal analysis in July 1992. Dr. Willsky is the author of the research monograph Digital Signal Processing and Control and Estimation Theory and is co-author of the widely used undergraduate text Signals and Systems. He was awarded the 1979 Alfred Noble Prize by the ASCE, the 1980 Browder J. Thompson Memorial Prize Award by the IEEE for a paper excerpted from his monograph, as well as the 2004 Donald G. Fink Award, the 2010 Technical Achievement Award from the IEEE Signal Processing Society, the 2013 SPS Society Award Signal Processing Society Award of the IEEE Signal Processing Society, and the IEEE’s 2019 Jack S. Kilby Signal Processing Medal. Dr. Willsky’s present research interests are in problems involving multidimensional and multiresolution estimation and imaging, and particularly in the development and application of advanced methods of estimation and statistical signal and image processing. Methods he has developed have been successfully applied in a wide variety of applications including failure detection in high-performance aircraft, advanced surveillance and tracking systems, electrocardiogram analysis, computerized tomography, and remote sensing.
Today we are excited to report that we have added some lists of books from two world-renowned experts. The lists are based on the books that Professor Geoffrey Hinton and Professor Dimitri Bertsekas have used in the courses they have taught at the University of Toronto and MIT. Here are a short biographies of these two experts.
Emeritus Distinguished Professor of Computer Science at the University of Toronto, and Director of Research at Google Research Brain Team. Ph.D. University of Edinburgh.
Geoffrey Everest Hinton is an English Canadian cognitive psychologist and computer scientist, most noted for his work on artificial neural networks. Since 2013 he divides his time working for Google (Google Brain) and the University of Toronto. In 2017, he co-founded and became the Chief Scientific Advisor of the Vector Institute in Toronto. With David Rumelhart and Ronald J. Williams, Hinton was co-author of a highly cited paper published in 1986 that popularized the backpropagation algorithm for training multi-layer neural networks, although they were not the first to propose the approach. Hinton is viewed by some as a leading figure in the deep learning community and is referred to by some as the “Godfather of Deep Learning”. The dramatic image-recognition milestone of the AlexNet designed by his student Alex Krizhevsky for the ImageNet challenge 2012 helped to revolutionize the field of computer vision. Hinton was awarded the 2018 Turing Award alongside Yoshua Bengio and Yann LeCun for their work on deep learning. Hinton joined Google in March 2013 when his company, DNNresearch Inc., was acquired. While Hinton was a professor at Carnegie Mellon University (1982–1987), David E. Rumelhart and Hinton and Ronald J. Williams applied the backpropagation algorithm to multi-layer neural networks. During the same period, Hinton co-invented Boltzmann machines with David Ackley and Terry Sejnowski. Notable former Ph.D. students and postdoctoral researchers from his group include Richard Zemel, Brendan Frey, Radford M. Neal, Ruslan Salakhutdinov, Ilya Sutskever, Yann LeCun and Zoubin Ghahramani.
McAfee Professor at the Department of Electrical Engineering and Computer Science at MIT, and also a Fulton Professor of Computational Decision Making at Arizona State University. Ph.D. MIT.
Dimitri Bertsekas was born in Greece and lived his childhood there. He studied for five years at the National Technical University of Athens, Greece and studied for about a year and a half at The George Washington University, Washington, D.C., where he obtained his M.S. in electrical engineering in 1969, and for about two years at MIT, where he obtained his doctorate in system science in 1971. Prior to joining the MIT faculty in 1979, he taught for three years at the Engineering-Economic Systems Dept. of Stanford University, and for five years at the Electrical and Computer Engineering Dept. of the University of Illinois at Urbana-Champaign. In 2019, he was appointed a full-time professor at the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University, Tempe, while maintaining a research position at MIT.
He is known for his research work, and for his seventeen textbooks and monographs in theoretical and algorithmic optimization and control, and in applied probability. His work ranges from theoretical/foundational work, to algorithmic analysis and design for optimization problems, and to applications such as data communication and transportation networks, and electric power generation. He is featured among the top 100 most cited computer science authors in the CiteSeer search engine academic database and digital library. In 1995, he co-founded a publishing company, Athena Scientific, that among others, publishes most of his books.
Today we are very happy to announce that we have added the lists of books from two world-renowned experts. The lists are based on the books that Professor Robert Tibsirani and Professor Alfred Aho have used in the courses they have taught at Stanford and Columbia University. Here are a short biographies of these two experts.
Professor of Biomedical Data Science, and Statistics, Stanford University. Ph.D. Stanford.
Robert Tibshirani is a Professor in the Departments of Statistics and Biomedical Data Science at Stanford University. In his work, he develops statistical tools for the analysis of complex datasets, most recently in genomics and proteomics. His most well-known contributions are the Lasso method, which proposed the use of L1 penalization in regression and related problems, and Significance Analysis of Microarrays. Tibshirani joined the doctoral program at Stanford University in 1981 and received his Ph.D. in 1984 under the supervision of Bradley Efron. Tibshirani received the COPSS Presidents’ Award in 1996. Given jointly by the world’s leading statistical societies, the award recognizes outstanding contributions to statistics by a statistician under the age of 40. He is a fellow of the Institute of Mathematical Statistics and the American Statistical Association. He won an E.W.R. Steacie Memorial Fellowship from the Natural Sciences and Engineering Research Council of Canada in 1997. He was elected a Fellow of the Royal Society of Canada in 2001 and a member of the National Academy of Sciences in 2012. Tibshirani was made the 2012 Statistical Society of Canada’s Gold Medalist at their yearly meeting in Guelph, Ontario for “exceptional contributions to methodology and theory for the analysis of complex data sets, smoothing and regression methodology, statistical learning, and classification, and application areas that include public health, genomics, and proteomics”. He was elected to the Royal Society in 2019.
Lawrence Gussman Professor Emeritus of Computer Science at Columbia University. Ph.D. Princeton.
Alfred V. Aho is Lawrence Gussman Professor Emeritus of Computer Science at Columbia University. Professor Aho has a B.A.Sc in Engineering Physics from the University of Toronto and a Ph.D. in Electrical Engineering/Computer Science from Princeton University. Professor Aho has received the IEEE John von Neumann Medal and is a Member of the U.S. National Academy of Engineering and of the American Academy of Arts and Sciences. He is a Fellow of the Royal Society of Canada. He shared the 2017 C&C prize with John Hopcroft and Jeff Ullman. He has received honorary doctorates from the Universities of Helsinki, Toronto and Waterloo, and is a Fellow of the American Association for the Advancement of Science, ACM, Bell Labs, and IEEE. Professor Aho is well known for his many papers and books on algorithms and data structures, programming languages, compilers, and the foundations of computer science. His book coauthors include John Hopcroft, Brian Kernighan, Monica Lam, Ravi Sethi, Jeff Ullman, and Peter Weinberger. Professor Aho is the “A” in AWK, a widely used pattern-matching language; “W” is Peter Weinberger and “K” is Brian Kernighan. (Think of AWK as the predecessor of perl.) He also wrote the initial versions of the string pattern-matching utilities egrep and fgrep that are a part of UNIX; fgrep was the first widely used implementation of what is now called the Aho-Corasick algorithm. Professor Aho’s research interests include programming languages, compilers, algorithms, software engineering, and quantum computation.
Today we are excited to publish list of some books that have been used by a world-renowned expert. Professor Michael Jordan of UC Berkeley is an expert in AI and machine learning. Here is a short Biography of Professor Jordan:
Michael Irwin Jordan is an American scientist, professor at the University of California, Berkeley and researcher in machine learning, statistics, and artificial intelligence. He is one of the leading figures in machine learning, and in 2016 Science reported him as the world’s most influential computer scientist. Jordan received his Ph.D. in Cognitive Science in 1985 from the University of California, San Diego. At the University of California, San Diego, Jordan was a student of David Rumelhart and a member of the PDP Group in the 1980s. Jordan is currently a full professor at the University of California, Berkeley where his appointment is split across the Department of Statistics and the Department of EECS. He was a professor at the Department of Brain and Cognitive Sciences at MIT from 1988 to 1998. In the 1980s Jordan started developing recurrent neural networks as a cognitive model. In recent years, his work is less driven from a cognitive perspective and more from the background of traditional statistics. Jordan popularised Bayesian networks in the machine learning community and is known for pointing out links between machine learning and statistics. Jordan has received numerous awards, including a best student paper award (with X. Nguyen and M. Wainwright) at the International Conference on Machine Learning (ICML 2004), a best paper award (with R. Jacobs) at the American Control Conference (ACC 1991), the ACM - AAAI Allen Newell Award, the IEEE Neural Networks Pioneer Award, and an NSF Presidential Young Investigator Award. In 2010 he was named a Fellow of the Association for Computing Machinery “for contributions to the theory and application of machine learning.” Jordan is a member of the National Academy of Science, a member of the National Academy of Engineering and a member of the American Academy of Arts and Sciences. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He received the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009. He also won the 2020 IEEE John von Neumann Medal.
We have compiled a great list of top 103 machine learning and AI experts and have published them here. In this work we have done a grear amount of research and used GoogleScholar and IEEE prizes as some metrics to choose top experts. For each expert we have added a short biography, their h-index and number of citations according to the GoogleScholar. Also based on the data we gathered we came up with some interesting insights. For example we show where do these top machine learning and AI experts work, live and have studied. We hope you find the list useful and interesting.
Today we are excited to publish list of some books that have been used by a world-renowned expert. Professor Bin Yu of UC Berkeley is an expert in statistical machine learning. Here is a short Biography of Professor Yu:
Bin Yu obtained her BS degree in mathematics from Peking University, and her MS and PhD degrees in statistics from UC Berkeley. She was an assistant professor at UW-Madison, visiting assistant professor at Yale University, member of technical staff at Lucent Bell-Labs, and Miller Research Professor at Berkeley in 2004 and 2015, respectively. She also was a visiting faculty at MIT, ETH, Poincare Institute, Peking University, INRIA-Paris, Fields Institute at University of Toronto, Newton Institute at Cambridge University, and Flatiron Institute. She is a past chair of department of statistics at UC Berkeley.
Professor Yu is a member of the National Academy of Sciences and of the American Academy of Arts and Sciences. She is a Past President of the Institute of Mathematical Statistics (IMS), Guggenheim Fellow, Tukey Memorial Lecturer of the Bernoulli Society, Rietz Lecturer of IMS, and a COPSS E. L. Scott prize winner.
Professor Yu championed for collaborative research with experts in the subject knowledge and led research in statistical machine learning (e.g. boosting, sparse modeling, kernel methods, and spectral clustering) and causal inference (e.g. X-learner) through theoretical analysis and practical fast algorithms.
Her research papers not only investigated a wide range of research topics from practice to algorithms and to theory, but also sought deep insights. The breath and depth of her research experience enabled unique and novel solutions to interdisciplinary data problems in audio and image compression, network tomography, remote sensing, neuroscience, genomics, and precision medicine.
Professor Yu pioneered Vapnik-Chervonenkis (VC) type theory needed for asymptotic analysis of time series and spatio-temporal processes, and made fundamental contributions to information theory and statistics through work on minimum description length (MDL) and entropy estimation. With her students and collaborators, she developed a highly cited spatially adaptive wavelet image denoising method and a low-complexity low-delay perceptually lossless audio coder that was incorporated in Bose wireless speakers, and developed a fast and well-validated Arctic cloud detection algorithm using NASA’s MISR data. With the Jack Gallant Lab and her students, she developed predictive models of fMRI brain activity in vision neuroscience that made “mind-reading” possible (or reconstruction of movies using only fMRI signals).
Professor Yu served on editorial boards including Annals of Statistics, Journal of American Statistical Association, and Journal of Machine Learning Research. Her leadership roles included co-chairing the National Scientific Committee of the Statistical and Applied Mathematical Sciences Institute (SAMSI), and serving on the scientific advisory committee of SAMSI and IPAM, and on the board of trustees of ICERM and the Board of Governors of IEEE-IT Society. She served on the scientific advisory committee for the IAS Special Year on optimization, statistics and theoretical machine learning. She is serving on the editorial board of PNAS and the scientific advisory committee of the UK Turing Institute for Data Science and AI.
- IMS Fellow (1999)
- IEEE Fellow (2001)
- ASA Fellow (2005)
- AAAS Fellow (2013)
- Member of NAS (2014)
- Elizabeth L. Scott Award (2018)
We have published some exciting lists of books that Professor Ron Rivest; a world-renowned cryptographer and computer scientist; has used in the courses he has been/is teaching at MIT. Here is a short biography of Professor Rivest:
At MIT Rivest is a member of the Theory of Computation Group, and founder of MIT CSAIL’s Cryptography and Information Security Group.
He is a co-author of Introduction to Algorithms (also known as CLRS), a standard textbook on algorithms, with Thomas H. Cormen, Charles E. Leiserson and Clifford Stein. Other contributions to the field of algorithms include the paper, “Time Bounds for Selection”, which gives a worst-case linear-time algorithm.
In 2006, he published his invention of the ThreeBallot voting system, a voting system that incorporates the ability for the voter to discern that their vote was counted while still protecting their voter privacy. Most importantly, this system does not rely on cryptography at all. Stating “Our democracy is too important”, he simultaneously placed ThreeBallot in the public domain. He was a member of the Election Assistance Commission’s Technical Guidelines Development Committee, tasked with assisting the EAC in drafting the Voluntary Voting System Guidelines.
Rivest frequently collaborates with other researchers in combinatorics, for example working with David A. Klarner to find an upper bound on the number of polyominoes of a given order and working with Jean Vuillemin to prove the deterministic form of the Aanderaa–Rosenberg conjecture.
He was also a founder of RSA Data Security (now merged with Security Dynamics to form RSA Security), Verisign, and of Peppercoin. Rivest has research interests in algorithms, cryptography and voting. His former doctoral students include Avrim Blum, Burt Kaliski, Anna Lysyanskaya, Ron Pinter, Robert Schapire, Alan Sherman, and Mona Singh.
- BBVA Frontiers of Knowledge Award, 2018
- National Inventors Hall of Fame, 2018
- EVN Award for Election Integrity Research Excellence, 2017
- EPIC Champions of Freedom Award, 2017
- EFF Pioneer Award (as co-author of “Keys Under Doormats” paper), 2016
- 2015 JD Falk Award from the Messaging Malware Mobile Anti-Abuse Working Group (M3AAWG) (as co-author of “Keys Under Doormats” report), 2015
- ETH Zurich ABZ Platinum Gold Medal for Computer Science and Computer Science Education, 2015
- ISSA (Information Systems Security Association) Hall of Fame Award, 2014
- Doctorate of Mathematics (honoris causa), University of Waterloo, 2014
- 2013-14 HKN (Beta Theta Chapter of Eta Kappa Nu) Teaching Award, 2014
- Listed in 35 Best Computer Security Professors of 2013
- National Cyber Security Hall of Fame Award, 2012
- RSA 2011 Conference Lifetime Achievement Award (with A. Shamir and L. Adleman), 2011
- Killian Faculty Achievement Award from MIT, 2010
- NEC C&C Prize (with A. Shamir and L. Adleman), 2009
- An honorary doctorate (the doctorat honoris causa) from the Louvain School of Engineering at the Universite Catholique de Louvain (UCL), 2008
- Burgess and Elizabeth Jamieson Award from MIT EECS Dept., 2008
- Computers, Freedom and Privacy Conference “Distinguished Innovator” award, 2007
- MITX Lifetime Achievement Award, 2005
- Marconi Prize, 2005
- the 2002 ACM Turing Award (with A. Shamir and L. Adleman), 2002
- Laurea Honoris Causa, University of Rome La Sapienza, 2002
- IEEE Koji Kobayashi Computers and Communications Award (with A. Shamir and L. Adleman), 2000
- Secure Computing Lifetime Achievement Award (with A. Shamir and L. Adleman), 2000
- ACM Paris Kanellakis Theory and Practice Award, 1997
- National Computer Systems Security Award, 1996
- AAAS Fellow (American Association for the Advancement of Science), 1991
We are very excited to announce that we have published list of books that a true digital communications and information theory legend has used in the courses he has taught at MIT. Professor Robert Gallager of MIT is a world-renowned expert and very well known in the community. here is a short biography of Professor Gallager:
Robert G. Gallager received the BSEE degree from the University of Pennsylvania in 1953, and the S.M. and Sc.D. degrees in electrical engineering from the Massachusetts Institute of Technology in 1957 and 1960, respectively. From 1953 to 1956, he was at Bell Telephone Laboratories and then the U.S. Signal Corps. He has been a faculty member at MIT since 1960, became Co-Director of the Laboratory for Information and Decision Systems in 1986, and Fujitsu Professor in 1988. His current title is Professor Emeritus.
His 1960 Sc.D. thesis, entitled “Low Density Parity Check Codes,” was published by the M.I.T. Press in 1963. An abbreviated version appeared earlier (January 1962) in the IRE Transactions on Information Theory and was republished in the 1974 IEEE Press volume, Key Papers in The Developement of Information Theory, edited by Elwyn Berlekamp. This paper won an IEEE IT Society Golden-Jubilee Paper Award in 1998 and is an active area of research today.
A subsequent paper in the IEEE Transactions on IT, “A Simple Derivation of the Coding Theorem and some Applications,” , Jan.65, won the 1966 IEEE Baker Prize and won another IEEE IT Society Golden-Jubilee Paper Award in 1998. His book, Information Theory and Reliable Communication, Wiley 1968, placed Information Theory on a sound mathematical foundation and was the standard text book in the information theory area for many years.
In the mid 1970’s, Professor Gallager’s research focus shifted to data networks, focusing on distributed algorithms, routing, congestion control, and random access techniques. Data Networks, Prentice Hall, 1988, second edition 1992, co-authored with D. Bertsekas, helped provide a conceptual foundation for this field. His joint papers with Parekh, “A Generalized Processor Sharing Approach to Flow Control in ISN,” in 1993 won the William Bennett Prize Paper Award for 1993, and the Prize Paper Award for Infocomm 1993. Finally, his joint 1983 paper with P. Humblet and P Spira in ACM Trans.Prog. Lang. Sys. won the ACM 2004 Dijkstra Prize in Distributed Computing.
Professor Gallager was involved in the founding of Codex Corporation in 1962 (now part of Motorola) and consulted there for many years. His fundamental studies on quadrature amplitude modulation and detection led directly to the 9600 bps modems that provided Codex’s commercial success. He has also consulted for a number of other companies and has received 5 patents.
He was President of the Information Theory Society of the IEEE in 1971, Chairman of the Advisory committee to the NSF Division on Networking andCommunication Research and Infrastructure from 1989 to 1992, and has been on numerous visiting committees for Electrical Engineering and Computer Science departments. Here are some of his honors and awards:
- IEEE Fellow (1968)
- U. of Pa. Moore School Gold Medal Award (1973)
- Guggenheim Fellow (1978)
- National Academy of Engineering (1979)
- IEEE IT Soc. Shannon Award (1983)
- IEEE Centennial Medal (1984)
- IEEE Medal of Honor (1990)
- National Academy of Sciences (1992)
- Fellow of the American Academy of Arts and Sciences (1999)
- The Harvey Prize in Science and Technology from Technion (1999)
- IEC Fellow (2000)
- IEEE Third Millenium Medal (2000)
- Eduard Rhein Award (2002)
- Marconi Fellow(2003)
- Dijkstra Prize (2004)
- Japan Prize (2020)
Today we have published a fantastic book suggestion from a world-renowned computer scientist. Dr. Leslie Lamport of Microsoft Corporations has suggested a book that he said when he was a student influenced him. Here is a short biography of Dr. Lamport:
Leslie B. Lamport (born February 7, 1941) is an American computer scientist. Lamport is best known for his seminal work in distributed systems, and as the initial developer of the document preparation system LaTeX and the author of its first manual. Leslie Lamport was the winner of the 2013 Turing Award for imposing clear, well-defined coherence on the seemingly chaotic behavior of distributed computing systems, in which several autonomous computers communicate with each other by passing messages. He devised important algorithms and developed formal modeling and verification protocols that improve the quality of real distributed systems. These contributions have resulted in improved correctness, performance, and reliability of computer systems.
Honors and Awards
- National Academy of Engineering (1991)
- PODC Influential Paper Award (2000)
- Honorary Doctorate, University of Rennes (2003)
- Honorary Doctorate, Christian Albrechts University, Kiel (2003)
- Honorary Doctorate, Ecole Polytechnique Fédérale de Lausanne (2004)
- IEEE Piore Award (2004)
- Edsger W. Dijkstra Prize in Distributed Computing (2005)
- Honorary Doctorate, Università della Svizzera Italiana, Lugano (2006)
- ACM SIGOPS Hall of Fame Award (2007)
- Honorary Doctorate, Université Henri Poincaré, Nancy (2007)
- LICS 1988 Test of Time Award (2008)
- IEEE John von Neumann Medal (2008)
- National Academy of Sciences (2011)
- ACM SIGOPS Hall of Fame Award (2012)
- Jean-Claude Laprie Award in Dependable Computing (2013)
- ACM SIGOPS Hall of Fame Award (2013)
- 2013 ACM Turing Award (2014)
- American Academy of Arts and Sciences (2014)
- Jean-Claude Laprie Award in Dependable Computing (2014)
- Edsger W. Dijkstra Prize in Distributed Computing (2014)
- Honorary Doctorate, Brandeis University (2017)
- Fellow of the Computer History Museum (2019)
- NEC C&C Prize (2019)
Today we are happy to publish the result of one of our mini projects :) We tried to find out what books the father of Information Theory Claude Shannon had on his personal library. Although the project is not done, but we were able to find a list of 13 books that he had on his personal library. As we are working to uncover more books that this genius owned, we would be more than happy if any of you knows any information that could help us. We would love to hear from you. Thanks and enjoy this blog post.
Today we are thrilled to announce that we have received a number of great lists of books in different categories from a world-renowned expert. Professor Edward Lee of UC Berkeley has been very kind to us and sent us a number of book suggestions in the following areas: Technology and Society, Statistics, Physics, Philosophy of Science, Cognitive Science and Neuroscience, and Evolutionary Biology.
Here is a short biography of Professor Lee:
Professor of the Graduate School and Robert S. Pepper Distinguished Professor Emeritus in the Electrical Engineering and Computer Science (EECS) Department at UC Berkeley. Ph.D. - UC Berkeley.
Edward Ashford Lee is a Puerto-Rican-American computer scientist, electrical engineer, and author. He is Professor of the Graduate School and Robert S. Pepper Distinguished Professor Emeritus in the Electrical Engineering and Computer Science (EECS) Department at UC Berkeley. Lee works in the areas of cyber-physical systems, embedded systems, and the semantics of programming languages. He is particularly known for his advocacy of deterministic models for the engineering of cyber-physical systems.
Lee has led the Ptolemy Project, which has created Ptolemy II, an open-source model based design and simulation tool. He ghost-edited a book about this software, where the editor of record is Claudius Ptolemaeus, the 2nd century Greek astronomer, mathematician, and geographer. The Kepler scientific workflow system is based on Ptolemy II.
From 2005 to 2008 Lee was chair of the Electrical Engineering Division and then chair of the EECS Department at UC Berkeley. He has led a number of large research projects at Berkeley, including the Center for Hybrid and Embedded Software Systems (CHESS), the TerraSwarm Research Center, and the Industrial Cyber-Physical Systems Research Center (iCyPhy).
Lee has written several textbooks, covering subjects including embedded systems, digital communications, and signals and systems. He has also written a general-audience book, Plato and the Nerd: The Creative Partnership of Humans and Technology, where he argues that humans are coevolving with technology in a Darwinian way. He has published more than 300 papers and technical reports, delivered more than 180 keynote talks and other invited talks, and has graduated 35 Ph.D. students.
- IEEE Technical Committee on Cyber-Physical Systems (TCCPS) Technical Achievement Award, “for pioneering and fundamental contributions to the design, modeling and simulation of cyber-physical systems.”, 2019.
- The Berkeley Citation, February, 2018.
- Outstanding Technical Achievement and Leadership Award from the IEEE Technical Committee on Real-Time Systems (TCRTS), 2016.
- Robert S. Pepper Distinguished Professorship, UC Berkeley, 2006.
- ASEE Frederick Emmons Terman Award, 1997.
- NSF Presidential Young Investigator Award, 1997.
- IEEE Fellow.
Today we are very happy to announce that we have received a fantastic list of books from a world-renowned expert. Professor Salvatore Stolfo of Columbia University has kindly provided us a great list of books in the area of Security and Cryptography. Here is a short biography of Progfessor Stoflo:
Salvatore J. Stolfo is an academic and professor of computer science at Columbia University, specializing in computer security.
Born in Brooklyn, New York, Stolfo received a Bachelor of Science degree in Computer Science and Mathematics from Brooklyn College in 1974. He received his Ph.D. from NYU Courant Institute in 1979 and has been on the faculty of Columbia ever since, where he’s taught courses in Artificial Intelligence, Intrusion and Anomaly Detection Systems, Introduction to Programming, Fundamental Algorithms, Data Structures, and Knowledge-Based Expert Systems.
While at Columbia, Stolfo has received close to $50M in funding for research that has broadly focused on Security, Intrusion Detection, Anomaly Detection, Machine Learning and includes early work in parallel computing and artificial intelligence. He has published or co-authored over 250 papers and has over 21,000 citations with an H-index of 67. In 1996 he proposed a project with DARPA that applies machine learning to behavioral patterns to detect fraud or intrusion in networks.
DADO, developed by in part by Stolfo, introduced the parallel computing primitive: “Broadcast, Resolve, Report”, a hardwire implemented mechanism that today is called MapReduce.
Among his earliest work, Stolfo along with colleague Greg Vesonder of Bell Labs, developed a large-scale expert data analysis system, called ACE (Automated Cable Expertise) for the nation’s phone system. AT&T Bell Labs distributed ACE to a number of telephone wire centers to improve the management and scheduling of repairs in the local loop.
Stolfo coined the term FOG computing (not to be confused with fog computing) where technology is used “to launch disinformation attacks against malicious insiders, preventing them from distinguishing the real sensitive customer data from fake worthless data.”
In 2005 Stolfo received funding from the Army Research Office to conduct a workshop to bring together a group of researchers to help identify a research program to focus on insider threats.
He was elevated to IEEE Fellow in 2018 “for his contributions to machine learning based cybersecurity.”
He was elected as an ACM Fellow in 2019 “for contributions to machine-learning-based cybersecurity and parallel hardware for database inference systems”.
Founded in 2011, Red Balloon Security (or RBS) is a cyber security company founded by Dr Sal Stolfo and Dr Ang Cui. A spinout from the IDS lab, RBS developed a symbiote technology called FRAK as a host defense for embedded systems under the sponsorship of DARPA’s Cyber Fast Track program.
Created based on their IDS lab research for the DARPA Active Authentication and the Anomaly Detection at Multiple Scales program, Dr Sal Stolfo and Dr. Angelos Keromytis founded Allure Security Technologies. Using active behavioral authentication and decoy technology Stolfo pioneered and patented in 1996.
Founded in 2009, Allure Security Technology was created based on work done under DARPA sponsorship in Columbia’s IDS lab based on DARPA prompts to research how to detect hackers once they are inside an organization’s perimeter and how to continuously authenticate a user without a password.
Stolfo’s company Electronic Digital Documents produced a “DataBlade” technology, which Informix marketed during their strategy of acquisition and development in the mid 80’s. Stolfo’s patented merge/purge technology called EDD DataCleanser DataBlade was licensed by Informix. Since its acquisition by IBM in 2005, IBM Informix is one of the world’s most widely used database servers, with users ranging from the world’s largest corporations to startups.
System Detection was one of the companies founded by Prof. Stolfo to commercialize the Anomaly Detection technology developed in the IDS lab. The company ultimately reorganized and was rebranded as Trusted Computer Solutions. That company was recently acquired by Raytheon.
Today we are very excited to announce that we have received a fantstic list of books from a world-renowned expert in the field of radio-frequency and millimeter-wave integrated circuits. Professor Payam Heydari of UC Irvine has kindly sent us a list of his recommended books. Here is a short biography of Professor Heydari:
Payam Heydari received his B.S. and M.S. degrees (Honors) in Electrical Engineering from Sharif University of Technology in 1992 and 1995, respectively. He received his Ph.D. degree from the University of Southern California in 2001. He is currently a Full Professor of Electrical Engineering at the University of California, Irvine.
During the summer of 1997, he was with Bell-labs, Lucent Technologies where he worked on noise analysis in high-speed CMOS integrated circuits. He worked at IBM T. J. Watson Research Center on gradient-based optimization and sensitivity analysis of custom analog/RF ICs during the summer of 1998. His research covers the design of terahertz/millimeter-wave/RF and analog integrated circuits. He is the (co)-author of two books, one book chapter, and more than 150 journal and conference papers. He has given Keynote Speech to IEEE GlobalSIP 2013 Symposium on Millimeter Wave Imaging and Communications, served as Invited Distinguished Speaker to the 2014 IEEE Midwest Symp. on Circuits and Systems, and gave a Tutorial at the 2017 International Solid-State Circuits Conference (ISSCC). He has served as Distinguished Lecturer of both the IEEE Solid-State Circuits Society (SSCS) (2014-2016) and the IEEE Microwave Theory and Techniques Society (MTT-S) (2019-2022).
Dr. Heydari was selected as the inaugural Faculty Innovation Fellow by the University of California, Irvine (UCI) Beall Applied Innovation. He was the recipient of the 2016-2017 UCI School of Engineering Mid-Career Excellence in Research, the 2014 Distinguished Engineering Educator Award from Orange County Engineering Council, the 2009 Business Plan Competition First Place Prize Award and Best Concept Paper Award both from Paul Merage School of Business at UC-Irvine, the 2010 Faculty of the Year Award from UC-Irvine’s Engineering Student Council (ECS), the 2009 School of Engineering Fariborz Maseeh Best Faculty Research Award, the 2007 IEEE Circuits and Systems Society Guillemin-Cauer Award, the 2005 IEEE Circuits and Systems Society Darlington Award, the 2005 National Science Foundation (NSF) CAREER Award, the 2005 Henry Samueli School of Engineering Teaching Excellence Award, the Best Paper Award at the 2000 IEEE Int’l Conference on Computer Design (ICCD), and the 2001 Technical Excellence Award from the Association of Professors and Scholars of Iranian Heritage (APSIH). He was recognized as the 2004 Outstanding Faculty in the EECS Department of the University of California, Irvine. His research on novel low-power multi-purpose multi-antenna RF front-ends received the Low-Power Design Contest Award at the 2008 IEEE Int’l Symposium on Low-Power Electronics and Design (ISLPED). The Office of Technology Alliances at UCI has named Dr. Heydari one of 10 Outstanding Innovators at the university.
Dr. Heydari is both an Associate Editor and a Guest Editor of IEEE Journal of Solid-State Circuits (JSSC), and an Associate Editor of the IEEE Solid-State Circuits Letters (SSC-L). He is a member Technical Program Committee of IEEE Custom Integrated Circuits Conference, IEEE European Solid-State Circuits Conference (ESSCIRC), and the 2020 International Microwave Symposium (IMS 2020). Dr. Heydari is currently a member of AdCom for the IEEE Solid-State Circuits Society. Formerly, Dr. Heydari was a member of International Technical Program Committee of the International Solid-State Circuits Conference (ISSCC) (2014-2019). He also served as the Guest Editor of IEEE Journal of Solid-State Circuits (JSSC), and Associate Editor of IEEE Trans. on Circuits and Systems - I, and served on the Technical Program Committees of Compound Semiconductor IC Symposium (CSICS), Int’l Symposium on Quality Electronic Design (ISQED), IEEE Design and Test in Europe (DATE) and International Symposium on Physical Design (ISPD). He is the director of the Nanoscale Communication IC (NCIC) Labs.
He is an IEEE Fellow for contributions to silicon-based millimeter-wave integrated circuits and systems.
- Faculty Innovation Fellow, University of California, Irvine (UCI) Beall Applied Innovation, 2020 - 2021
- IEEE Distinguished Lecturer, Microwave Theory and Techniques Society (MTT-S)
- IEEE Fellow for contributions to silicon-based millimeter-wave integrated circuits and systems
- School of Engineering Mid-Career Award of Excellence in Research, 2017
- Distinguished Engineering Educator Award, Orange County Engineering Council, 2014
- IEEE Distinguished Lecturer, Solid-State Circuits Society (SSCS)
- Outstanding Innovator, Office of Technology Alliance, UC-Irvine, 2011
- Faculty of the Year Award, UC-Irvine’s Engineering Student Council, 2010
- School of Engineering Best Faculty Research Award, 2009
- First Place Winner of Business Plan Competition, Paul Merage School of Business at UC-Irvine, 2009
- Best Concept Paper Award, Paul Merage School of Business at UC-Irvine, 2009
- Selected as one of the 16 Finalists for Draper Fisher Jurvetson (DFJ) and Cisco Global Business Plan Competition, 2009
- Low-Power Design Contest Award, IEEE Int’l Symposium on Low-Power Electronics and Design, 2008 (with Ph.D. students Fred Tzeng and Amin Jahanian.)
- IEEE Circuits and Systems Society Guillemin-Cauer Best Paper Award, 2007, for the journal paper “Model-Order Reduction Using Variational Balanced Truncation with Spectral Shaping,” IEEE Trans. on Circuits and Systems - I, vol. 53, no. 4, pp. 879-891, April 2006.
- National Science Foundation (NSF) CAREER Award, 2005
- IEEE Circuits and Systems Society Darlington Best Paper Award, 2005, for the journal paper “Analysis of the PLL Jitter Due to Power/Ground and Substrate Noise,” IEEE Trans. on Circuits and Systems - I, vol. 51, no. 12, pp. 2404-2416, Dec. 2004
- Teaching Excellence Award, The Henry Samueli School of Engineering, 2005
- IEEE Faculty Advisor, IEEE Chapter of Orange County, 2004
- Technical Excellence Award, Association of Professors and Scholars of Iranian Heritage, 2001
- Best Paper Award, IEEE International Conference on Computer Design (ICCD), 2000
Today it is our pleasure to announce that we have received and publish some great book suggestions from a world-renowned expert. Professor Tomaso Poggio of MIT has kindly sent us tome fantastic book suggestions. Here is a short biography of Professot Poggio:
Tomaso Armando Poggio is the Eugene McDermott professor in the Department of Brain and Cognitive Sciences, an investigator at the McGovern Institute for Brain Research, a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and director of both the Center for Biological and Computational Learning at MIT and the Center for Brains, Minds, and Machines, a multi-institutional collaboration headquartered at the McGovern Institute since 2013.
Born in Genoa, Italy, and educated at Istituto Arecco, Tomaso Poggio completed his doctorate in physics at the University of Genoa and received his degree in Theoretical Physics under professor A. Borsellino.
His interdisciplinary research on the problem of intelligence, between brains and computers, started at the Max Planck Institute in Tübingen, Germany in collaborations with Werner E. Reichardt, David C. Marr and Francis H.C. Crick, among others. He has made contributions to learning theory, to the computational theory of vision, to the understanding of the fly’s visual system, and to the biophysics of computation. His recent work is focused on computational neuroscience in close collaboration with several physiology labs, trying to answer the questions of how our visual system learns to see and recognize scenes and objects.
He is one of the most cited computational neuroscientists. with contributions ranging from the biophysical and behavioral studies of the visual system to the computational analyses of vision and learning in humans and machines. With Werner E. Reichardt he characterized quantitatively the visuo-motor control system in the fly. With David Marr (neuroscientist), he introduced the seminal idea of levels of analysis in computational neuroscience. He introduced regularization as a mathematical framework to approach the ill-posed problems of vision and the key problem of learning from data. The citation for the 2009 Okawa prize mentions his “…outstanding contributions to the establishment of computational neuroscience, and pioneering researches ranging from the biophysical and behavioral studies of the visual system to the computational analysis of vision and learning in humans and machines.” His research has always been interdisciplinary, between brains and computers. It is now focused on the mathematics of deep learning and on the computational neuroscience of the visual cortex.
Professor Poggio is a former Corporate Fellow of Thinking Machines Corporation and a former director of PHZ Capital Partners, Inc., is a director of Mobileye and was involved in starting, or investing in, several other high tech companies including Arris Pharmaceutical, nFX, Imagen, Digital Persona and DeepMind. Among his PhD students and post-docs are some of the today’s leaders in the Science and in the Engineering of Intelligence, from Christof Koch (President and Chief Scientific Officer, Allen Institute) to Amnon Shashua (CTO and founder, Mobileye) and Demis Hassabis (CEO and founder, Deep Mind).
Selected Honors and Awards
- Otto-Hahn-Medaille of the Max Planck Society (1979)
- Member, Neurosciences Research Program (1979)
- Columbus Prize of the Istituto Internazionale delle Comunicazioni Genoa, Italy (1982)
- Corporate Fellow, Thinking Machines Corporation (1984)
- Founding Fellow, American Association of Artificial Intelligence (1990)
- Fellow, American Academy of Arts and Sciences (1997)
- Foreign Member, Istituto Lombardo dell’Accademia di Scienze e Lettere (1998)
- Laurea Honoris Causa in Ingegneria Informatica, Bicentenario dell’Invezione
- della Pila, Pavia, Italia, March (2000)
- Gabor Award, International Neural Network Society (2003)
- Okawa Prize (2009)
- Fellow, American Association for the Advancement of Science (2009)
- Swartz Prize for Theoretical and Computational Neuroscience (2014)
It is with a great pleasure to announce that we have received a fantastic list of books from a world-renowned expert who has many seminal contibutions to the developement of the Internet. Professor Jon Crowcroft of the University of Cambridge has kindly provided a fantastic and long list of books, some technical and some non-technical. Here is a short biography of Professor Crowcroft:
Jonathan Andrew Crowcroft, FRS, FREng is the Marconi Professor of Communications Systems in the Computer Laboratory of the University of Cambridge and the Chair of the Programme Committee at the Alan Turing Institute.
Professor Crowcroft graduated with a Bachelor of Arts degree in Physics from Trinity College, Cambridge in 1979, then gained a Master of Science degree in Computing in 1981 and PhD in 1993, both from University College London.
Professor Crowcroft joined the University of Cambridge in 2001, prior to which he was Professor of Networked Systems at University College London in the Computer Science Department. After he stepped down from UCL, his professorship was assumed by his former PhD student Mark Handley. He is currently a Fellow at Wolfson College, University of Cambridge.
Jon had contributions to a number of successful start-up projects. He has been a member of the Scientific Council of IMDEA Networks Institute since 2007. He was also on advisory board of Max Planck Institute for Software Systems .
Jon had written, edited and co-authored a number of books and publications which have been adopted internationally in academic courses, including TCP/IP & Linux Protocol Implementation: Systems Code for the Linux Internet, Internetworking Multimedia and Open Distributed Systems.
Professor Crowcroft has also done research in theoretical network science, particularly in the area of Turing switches, and he has suggested to replace general-purpose computers acting as network switches with specially-built hardware dedicated to packet switching, as well as using optical technology for the same purpose.
Awards and honours
Professor Crowcroft was elected a Fellow of the Royal Society in 2013. His nomination reads: “Professor Jon Crowcroft is distinguished for his many seminal contributions to the development of the Internet. His work on satellite link interconnection techniques in the 1980s paved the way for rural broadband; his work on standards for video and voice on IP networks helped extend the Internet to multimedia; and in the 2000s he founded the field of opportunistic networking”.
He is a Fellow of the Royal Society, Fellow of the Association for Computing Machinery, a Chartered Fellow of the British Computer Society, a Fellow of the Institution of Electrical Engineers and a Fellow of the Royal Academy of Engineering, as well as a Fellow of the IEEE (2004). He was a member of the Internet Architecture Board 1996-2002, and attended most of the first 50 IETF meetings.
Professor Crowcroft was general chair for the ACM SIGCOMM conference between 1995 and 1999, and received the SIGCOMM Award in 2009. The award to Crowcroft was “for his pioneering contributions to multimedia and group communications, for his endless enthusiasm and energy, for all of the creative ideas he has so freely shared with so many in the networking community, and for always being outside the box”.
Today we are very excited to announce that we are adding a new section to the book lists. As in many cases some of the experts have publicly recommended some books, or have been using some books as reference in the courses the have taught, now we are gathering those books and creating new lists. Today we are publishing some book lists that have been used as reference in some of the courses by the following world-renowned experts:
- Professor Anantha Chandrakasan, MIT
- Professor David Forney, MIT
- Professor Donald Knuth, Caltech
- Professor Yann LeCun, New York University, Facebook
- Professor Christopher Manning, Stanford
- Professor Muriel Médard, MIT
We hope you find these book lists useful. We continue to find public book lists from top experts and add to our website. In the meantime We like to hear from you what other world-renowned experts have public book suggestions that you think we should add to Doradolist.
Today we are happy to post an interesting list of books suggested by a world-renowned Stanford Professor, Christopher Manning. This is not a technical book list! It is a list of books recommended for Kids and is based on Professor Manning’s recommendations on his website. You can find the recommended list here.
Today we are very excited to announce that we have received a fantastic list of books in the area of Networking from a world-renowned expert. Professor Jennifer Rexford has kindly sent of her favorite book list. Here is a short biography of Professor Rexford:
Jennifer Rexford is an American computer scientist who is currently the Gordon Y. S. Wu Professor in Engineering, Professor of Computer Science, and Chair of the Department of Computer Science at Princeton University. Her research focuses on analysis of computer networks, and in particular network routing, performance measurement, and network management.
Professor Rexford did her undergraduate studies at Princeton, earning a bachelor’s degree in electrical engineering in 1991, and then moved to the University of Michigan for graduate studies in computer science and engineering, earning a master’s degree in 1993 and a doctorate in 1996. Her thesis, titled “Tailoring router architectures to performance requirements in cut-through networks”, was supervised by Kang G. Shin. She worked at Bell Labs for two summers as a graduate student, and then returned to what had since become AT&T Labs, working there from 1996 to 2005, when she joined the Princeton faculty.
She won the ACM Grace Murray Hopper Award (the award goes to a computer professional who makes a single, significant technical or service contribution at or before age 35) in 2005, for her work on introducing network routing subject to the different business interests of the operators of different subnetworks into Border Gateway Protocol. In 2016, Rexford was named the recipient of the ACM Athena Lecturer award, which recognizes women who have made fundamental contributions to computer science. She became a fellow of the ACM in 2008, a fellow of the American Academy of Arts and Sciences in 2013, and a member of the National Academy of Engineering in 2014. Rexford was elected as a member of the National Academy of Sciences in 2020.
Today we are exteremly happy to announce that we have a book suggestion from a world-renowned statistician. Professor Grace Wahba has kindly recommended some statistics books. Here is a short biography of Professor Wahba:
Grace Wahba (born August 3, 1934) is a now-retired I. J. Schoenberg-Hilldale Professor of Statistics at the University of Wisconsin–Madison. She is a pioneer in methods for smoothing noisy data. Best known for the development of generalized cross-validation and “Wahba’s problem”, she has developed methods with applications in demographic studies, machine learning, DNA microarrays, risk modeling, medical imaging, and climate prediction.
She was educated at Cornell (B.A. 1956), University of Maryland, College Park (M.A. 1962) and Stanford (Ph.D. 1966), and worked in industry for several years before receiving her doctorate in 1966 and settling in Madison in 1967. She is the author of Spline Models for Observational Data. She was elected to the United States National Academy of Sciences in 2000 and received an honorary degree of Doctor of Science from the University of Chicago in 2007. She retired in August 2018.
- Member, National Academy of Sciences
- Fellow, American Academy of Arts and Sciences
- Fellow, American Association for the Advancement of Science
- Fellow, American Statistical Association
- Fellow, Institute of Mathematical Statistics
- Fellow, Society for Industrial and Applied Mathematics
- Inaugural Senior Breiman Award, August 2017
- COPSS Fisher Award, August 2014
- Inaugural Distinguished Alumni Award, Cornell University, November 2009
- Gottfried E. Noether Senior Researcher Award, Joint Statistics Meetings, August 2009
- Received the Honorary D.Sc from the University of Chicago, June 2007
- Named “Statistician of the Year” by the Chicago Chapter of ASA, 2004
- IJ Schoenberg-Hilldale Chair in Statistics, University of Wisconsin-Madison, 2004-
- Hilldale Award in the Physical Sciences, University of Wisconsin-Madison, 2003
- Outstanding Alumni Award, Department of Mathematics, University of Maryland, 2001
- International Meetings on Statistical Climatology Achievement Award, 1998
- Committee of Presidents of Statistical Societies Elizabeth Scott Award, 1996
- First Emanuel and Carol Parzen Prize for Statistical Innovation, 1994
We are back after a long break! Today we are very excited to announce that we have received a fantastic list of books in the area of Networking from a world-renowned expert. Professor Henning Schulzrinne has kindly sent of his favorite book list. Here is a short biography of Professor Schulzrinne:
Prof. Henning Schulzrinne is Julian Clarence Levi Professor of Computer Science at Columbia University. He received his undergraduate degree in economics and electrical engineering from the Darmstadt University of Technology, Germany, his MSEE degree as a Fulbright scholar from the University of Cincinnati, Ohio and his Ph.D. from the University of Massachusetts in Amherst, Massachusetts. He was a member of technical staff at AT&T Bell Laboratories, Murray Hill and an associate department head at GMD-Fokus (Berlin), before joining the Computer Science and Electrical Engineering departments at Columbia University, New York. From 2004 to 2009, he served as chair of the Department of Computer Science. From 2010 to 2011, he was an Engineering Fellow at the Federal Communications Commission (FCC); he is currently the CTO of the FCC.
He is editor of the “Computer Communications Journal”, the “ACM Transactions on Multimedia Computing”, the “ComSoc Surveys & Tutorials” and a former editor of the “IEEE Transactions on Image Processing”, “Journal of Communications and Networks”, “IEEE/ACM Transactions on Networking” and the “IEEE Internet Computing Magazine”.
He has been a member of the Board of Governors of the IEEE Communications Society and is vice chair of ACM SIGCOMM, former chair of the IEEE Communications Society Technical Committees on Computer Communications and the Internet and has been technical program chair of Global Internet, IEEE Infocom 2000, ACM NOSSDAV, IEEE IM, IPTComm 2008, IFIP Networking 2009 and IPtel and general co-Chair of ACM Multimedia 2004 and ICNP 2009. He serves on the Internet2 Applications, Middleware and Services Advisory Council and have led a working in the NSF GENI project. He also has been a member of the IAB (Internet Architecture Board). He serves on a number of conference and journal steering committees, including for the IEEE/ACM Transactions on Networking.
He has published more than 250 journal and conference papers, and more than 70 Internet RFCs. Protocols co-developed by him are now Internet standards, used by almost all Internet telephony and multimedia applications. His research interests include Internet multimedia systems, quality of service, and performance evaluation.
He served as Chief Scientist for FirstHand Technologies and Chief Scientific Advisor for Ubiquity Software Corporation. He is a Fellow of the IEEE, has received the New York City Mayor’s Award for Excellence in Science and Technology, the VON Pioneer Award, TCCC service award and the IEEE Region 1 William Terry Award for Lifetime Distinguished Service to IEEE.
Today we are very happy to publish book suggestion by a world-renowned expert. Professor Vahid Tarokh of Duke University, has kindly sent us book list in Machine Learning. Here is a short biography of Professor Tarokh:
Vahid Tarokh is the Rhodes family professor of electrical and computer engineering, Bass Connections Professor, a professor of mathematics (secondary), and computer science (secondary) at Duke University. He is also a Microsoft Data Science Investigator at Microsoft Innovation Hub at Duke University.
He received the M.Sc. in Mathematics from University of Windsor, Ontario, Canada in 1992, and the PhD in Electrical Engineering from the University of Waterloo, Ontario, Canada in 1995. He worked at AT&T Labs-Research and AT&T Wireless Services until August 2000 as Member, Principal Member of Technical Staff and, finally, as the Head of the Department of Wireless Communications and Signal Processing. In September 2000, he joined the Massachusetts Institute of Technology (MIT) as an Associate Professor of Electrical Engineering and Computer Science. In June 2002, he joined Harvard University as a Gordon McKay Professor of Electrical Engineering and Hammond Vinton Hayes Senior Research Fellow. He was named Perkins Professor of Applied Mathematics and Hammond Vinton Hayes Senior Research Fellow of Electrical Engineering in 2005.
In Jan 2018, He joined Duke University, as the Rhodes Family Professor of Electrical and Computer Engineering, Computer Science, and Mathematics and Bass Connections Endowed Professor. From Jan 2018 to May 2018, He was also a Gordon Moore Distinguished Scholar in the California Institute of Technology (CALTECH). Since Jan 2019, he has also been named as a Microsoft Data Science Investigator at Duke University. He has supervised 35 Post-doctoral Fellow and 16 PhD students; about 50% of these are Professors at Research Universities, and the rest are research scientists at various US Government sponsored (Lincoln Labs, NASA), and industry research labs. In addition to these, he has supervised 12 M.S. thesis, one undergraduate thesis, and three M.S. non-thesis students. In the summer of 2016, Dr. Tarokh supervised 6 (mainly underrepresented) High School Summer Student Research on development of tactile gloves and applications while volunteering under a United States Army Education Outreach HSAP Program https://www.usaeop.com/.
Tarokh has received a number of awards including the Governor General of Canada Academic Gold Medal 1996, the IEEE Information Theory Society Prize Paper Award 1999, The Alan T. Waterman Award 2001 and was selected as one of the Top 100 Inventors of Years (1999–2002) by Technology Review magazine. In 2002, the IEEE Communications Society recognized him as the co-author of one of the 57 most important papers in all society’s transactions during the past 50 years. He was named a Guggenheim Fellow in Applied Mathematics for his contributions to the theory of pseudo-random matrices. He holds four honorary degrees.
His current research interests are in representation, modeling, inference and prediction from data, and the design of organic machines.
Today we are very excited to publish a fantastic list of books from a wonderful experts. Professor Carlo Tomasi of Duke University, has kindly sent us book lists in Applied Math, Machine Learning, and Computer Vision. Here is a short biography of Professor Tomasi:
Carlo Tomasi is professor of computer science. He received a “Laurea” degree in Electrical Engineering at the University of Padova, Italy, in 1981, a MS degree in Electrical and Computer Engineering from the University of Massachusetts, Amherst, in 1984, and a PhD in Computer Science from Carnegie Mellon University in 1991. Before joining Duke, he was on the computer science faculty at Cornell and Stanford.
His research spans computer vision from visual motion estimation, image retrieval, and activity recognition to shape reconstruction, stereo vision, texture analysis, and medical imaging. His 100+ papers have been cited more than 43,000 times according to Google Scholar, with more than 15,000 citations for his top three publications alone. He won two Helmholtz prizes awarded by the International Conference on Computer Vision for papers that have had significant long-term impact on computer vision. He holds nine patents and has been principal investigator or co-investigator on more than 30 research grants.
Awards and honors
- ACM Fellowship, awarded in 2016.
- The Iris Einheuser Distinguished Professorship, Duke University, 2016.
- IEEE Computer Society Helmholtz Prize, 2013. With Yossi Rubner and Leonidas J. Guibas, for the ICCV 1998 paper A metric for distributions with applications to image databases. This prize is given to two ICCV papers published at least ten years before the award and that have had significant impact on computer vision research.
- IEEE Computer Society Helmholtz Prize, 2013. With Roberto Manduchi, for the ICCV 1998 paper Bilateral filtering for gray and color images. This prize is given to two ICCV papers published at least ten years before the award and that have had significant impact on computer vision research. Carlo Tomasi 3
- David and Janet Vaughan Brooks Teaching Award, Duke University, 2009-2010. Given to four teachers in the Trinity College of Arts and Sciences.
Today we are very happy to announce that we have received a great list of books from a wonderful expert in the field of Cryptography. Whitfield Diffie is a world-renowend cryptographer and one of the pioneers of public-key cryptography. Here is his short biography:
Bailey Whitfield ‘Whit’ Diffie (born June 5, 1944), ForMemRS, is an American cryptographer and one of the pioneers of public-key cryptography along with Martin Hellman and Ralph Merkle. Diffie and Hellman’s 1976 paper New Directions in Cryptography introduced a radically new method of distributing cryptographic keys, that helped solve key distribution—a fundamental problem in cryptography. Their technique became known as Diffie–Hellman key exchange. The article stimulated the almost immediate public development of a new class of encryption algorithms, the asymmetric key algorithms.
After a long career at Sun Microsystems, where he became a Sun Fellow, Diffie served for two and a half years as Vice President for Information Security and Cryptography at the Internet Corporation for Assigned Names and Numbers (2010–2012). He has also served as a visiting scholar (2009–2010) and affiliate (2010–2012) at the Freeman Spogli Institute’s Center for International Security and Cooperation at Stanford University, where he is currently a consulting scholar.
He has won many awards including:
- Fellow of the Marconi Foundation.
- Visiting fellow of the Isaac Newton Institute.
- 1981: IEEE Donald G. Fink Prize Paper Award in 1981 (together with Martin E. Hellman)
- 1992: Honorary doctorate from the Swiss Federal Institute of Technology.
- 1997: The Franklin Institute’s Louis E. Levy Medal.
- 1998: Golden Jubilee Award for Technological Innovation from the IEEE Information Theory Society.
- 2008: In July 2008, he was also awarded a Degree of Doctor of Science (Honoris Causa) by Royal Holloway, University of London.
- 2010: IEEE Richard W. Hamming Medal.
- 2011: Inducted into the National Inventors Hall of Fame and named a Fellow of the Computer History Museum “for his work, with Martin Hellman and Ralph Merkle, on public key cryptography.”
- 2015: Together with Martin Hellman, Diffie won the 2015 Turing Award, widely considered the most prestigious award in the field of computer science. The citation for the award was: “For fundamental contributions to modern cryptography. Diffie and Hellman’s groundbreaking 1976 paper, ‘New Directions in Cryptography’, introduced the ideas of public-key cryptography and digital signatures, which are the foundation for most regularly-used security protocols on the internet today.”
- 2017: Elected a Foreign Member of the Royal Society (ForMemRS).
Today we are super excited to announce that we have received a wonderful list of books from a legend information theorist and expert in control and electrical engineering. Professor Thomas Kailath of Stanford University has kindly sent us books in a variety of areas of EE. Here is a short biography of Professor Kailath:
Thomas Kailath received a B.E. (Telecom) degree in 1956 from the College of Engineering, Pune, India, and S.M. (1959) and Sc.D. (1961) degrees in electrical engineering from the Massachusetts Institute of Technology. He then worked at the Jet Propulsion Labs in Pasadena, CA, before being appointed to Stanford University as Associate Professor of Electrical Engineering in 1963. He was promoted to Professor in 1968, and appointed as the first holder of the Hitachi America Professorship in Engineering in1988. He assumed emeritus status in 2001, but remains active with his research and writing activities. He also held shorter-term appointments at several institutions around the world: UC Berkeley, Indian Statistical Institute, Bell Labs, Indian Institute of Science, Cambridge University, K. U. Leuven, T.U. Delft, Weizmann Institute, Imperial College, MIT, UCLA ,T. U. Munich.
His research and teaching have ranged over several fields of engineering and mathematics: information theory, communications, linear systems, estimation and control, signal processing, semiconductor manufacturing, probability and statistics, and matrix and operator theory. He has also co-founded and served as a director of several high-technology companies. He has mentored an outstanding array of over a hundred doctoral and postdoctoral scholars. Their joint efforts have led to over 300 journal papers, a dozen patents and several books and monographs, including the major textbooks: Linear Systems (1980) and Linear Estimation (2000).
He received the IEEE Medal of Honor in 2007 for “exceptional contributions to the development of powerful algorithms for communications, control, computing and signal processing.” Among other major honors are the Shannon Award of the IEEE Information Theory Society; the IEEE Education Medal and the IEEE Signal Processing Medal; the 2009 BBVA Foundation Prize for Information and Communication Technologies; the Padma Bhushan, India’s third highest civilian award; election to the U.S. National Academy of Engineering, the U.S. National Academy of Sciences, and the American Academy of Arts and Sciences; foreign membership of the Royal Society of London, the Royal Spanish Academy of Engineering, the Indian National Academy of Engineering, the Indian National Science Academy, the Indian Academy of Sciences, and TWAS (The World Academy of Sciences).
In November 2014, he received a US National Medal of Science from President Obama “for transformative contributions to the fields of information and system science, for distinctive and sustained mentoring of young scholars, and for translation of scientific ideas into entrepreneurial ventures that have had a significant impact on industry.”
Today we are very excited to announce that we have received a list of books from a world-renowned expert in the field of information theory. Professor Abbas El Gamal of Stanford university has kindly sent us a list of fantastic books in the area of Information Theory. Here is a short biography of Professor El Gamal:
Abbas El Gamal received his B.Sc. Honors degree in Electrical Engineering from Cairo University in 1972, and his M.S. in Statistics and Ph.D. in Electrical Engineering from Stanford University in 1977 and 1978, respectively. From 1978 to 1980, he was an Assistant Professor at USC. He has been on the Stanford faculty since 1981, where he is currently the Hitachi America Professor in the School of Engineering and Professor in the Department of Electrical Engineering. From 1997 to 2002, he served as the principal investigator on the Stanford Programmable Digital Camera program. From 2003 to 2012, he was Director of the Information Systems Laboratory. From 2012 to 2017, he was Chair of the Department of Electrical Engineering at Stanford University. He was a visiting professor and MacKay Fellow at the University of California, Berkeley in Fall 2009-2010, and visited Tsinghua University as member of the Tsinghua Guest Chair Professor Group on Communications and Networking in Spring 2009-2010.
Prof. El Gamal’s research contributions have spanned several areas, including network information theory, Field Programmable Gate Array, and digital imaging devices and systems. He has authored or coauthored over 230 papers and holds over 30 patents in these areas. He has coauthored the book Network Information Theory (Cambridge Press 2011). Prof. El Gamal is a member of the National Academy of Engineering and a Fellow of the IEEE. He has received several honors and awards for his research contributions, including the 2016 IEEE Richard W. Hamming Medal, the 2014 Viterbi Lecture, the 2013 Shannon Memorial Lecture, the 2012 Claude E. Shannon Award, the inaugural Padovani Lecture, and the 2004 INFOCOM Paper Award.
Prof. El Gamal has also played key roles in several Silicon Valley companies. In 1984, he founded the LSI Logic Research Lab, which later became the Consumer Product Division. In 1986, he cofounded Actel, where he served in several capacities, including Chief Scientist. In 1990, he co-founded Silicon Architects, where he was Chief Technical Officer and member of the board of directors until Synopsys acquired it in 1995. He was a Vice President of Synopsys from 1995 to 1997. He co-founded Pixim in 1999 (now part of Sony) and Inscopix in 2011 to commercialize imaging technologies developed under the programmable digital camera program. He has also served on the board of directors and advisory boards of several other semiconductor, EDA, and Biotech startups.
Today we are very excited to announce that we have received a wonderful list of books from an amazing expert. Professor Lixia Zhang of UCLA has kindly sent us a list of her recommended books in the areas of Computer and Network Systems and Physics. Here is a short biography of Professor Zhang:
Professor Zhang grew up in northern China, where she worked as a tractor driver on a farm when the Cultural Revolution closed the schools. She earned a master’s degree in electrical engineering in 1981 at California State University, Los Angeles, and completed her doctorate at the Massachusetts Institute of Technology in 1989, under the supervision of David D. Clark. After working as a researcher at Xerox PARC, she moved to UCLA in 1996.
Professor Zhang was one of the 21 participants in the initial meeting of the Internet Engineering Task Force, in 1986, the only woman and the only student at the meeting. In the IETF, her initial work concerned routing, although her thesis research was instead on quality of service. She was also a member of the Internet Architecture Board, from 1994 to 1996 and again from 2005 to 2009.
A protocol she designed for changing the settings in an experimental network setup became the basis for the Resource Reservation Protocol. Zhang’s paper on the protocol, “RSVP: A New Resource ReSerVation Protocol” (with Steve Deering, Deborah Estrin, Scott Shenker, and Daniel Zappala, IEEE Network 1993) was selected in 2002 as one of ten landmark articles reprinted with commentary in the 50th-anniversary issue of IEEE Communications Magazine.
In 1999 Zhang coined the term “middlebox” to refer to a computer networking device that performs functions other than that of a regular Internet protocol router. Examples of middleboxes include firewalls and network address translators. Her term has been widely adopted by the industry.
Beginning in 2010 she has been the leader of a multi-campus research project concerning named data networking.
Honors and Awards
- 1986, “Why TCP Timers Don’t Work Well” received ACM SIGCOMM Best Student Paper Award.
- 1994, Xerox Excellence in Science and Technology Award.
- 1998, Okawa Foundation Research Award.
- 2002, “RSVP: A New Resource ReSerVation Protocol"selected by the IEEE Communication Society as one of the ten Landmark articles for reprint in the 50th Anniversary Issue of IEEE Communication Magazine.
- 2005, “Timer Interaction in Route Flap Damping” received Best Paper Award at IEEE International Conference On Distributed Computing Systems.
- 2006, IEEE Fellow.
- 2006, ACM Fellow.
- 2009, IEEE Internet Award.
- 2010, “Investigating occurrence of duplicate updates in BGP announcements” received Best Paper Award from PAM 2010 (Passive and Active Measurement Conference).
- 2012, Named to Jonathan B. Postel Chair in Computer Science.
- 2014, “The Shape and Size of Threats: Defining a Networked System’s Attack Surface” received Best Paper Award from IEEE Workshop on Secure Network Protocols 2014. Featured on the 4 of Diamonds in the Playing Card Deck of Notable Women in Computing.
- 2015, Selected to be on the N2Women list of “10 Women You Should Know In Networking and Communications”
- 2018, Acknowledged as one of the top 100 US computer scientists based on publication H-Index.
Today we are very happy to announce that we have received a fantastic list of books from Dr. Samuel H. Fuller, the CTO Emeritus of Analog Devices, Inc. Here is a short biography of Dr. Fuller:
Sam Fuller is CTO Emeritus of Analog Devices, Inc., following service as the CTO and vice president of R&D. He previously served as vice president of research chief scientist at Digital Equipment Corporation, where he designed and did the performance analysis of advanced multiprocessor computer systems. He established Digital Equipment’s Research Labs in the US and Europe that resulted in advanced processor architectures and the pioneering Alta Vista Internet search engine. He is a fellow of the Institute of Electrical and Electronics Engineers (IEEE), a member of the National Academy of Engineering and a fellow of the American Association for the Advancement of Science. Fuller also serves on the Board of the Corporation for National Research Initiatives (CNRI). Fuller earned his PhD in electrical engineering at Stanford University.
Here you can see the list of books that Dr. Fuller has suggested. We have found this list very useful and we hope you do too!
Today we are honored to post a list of books from one of the top experts in the area of Artificial Intelligence, professor Stuart Russell of UC Berkeley. Here is a short biography of Professor Russell:
Stuart Russell received his B.A. with first-class honours in physics from Oxford University in 1982 and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is Professor (and formerly Chair) of Electrical Engineering and Computer Sciences, holder of the Smith-Zadeh Chair in Engineering, and Director of the Center for Human-Compatible AI. He has served as an Adjunct Professor of Neurological Surgery at UC San Francisco and as Vice-Chair of the World Economic Forum’s Council on AI and Robotics.
He is a recipient of the Presidential Young Investigator Award of the National Science Foundation, the IJCAI Computers and Thought Award, the World Technology Award (Policy category), the Mitchell Prize of the American Statistical Association, the Feigenbaum Prize of the Association for the Advancement of Artificial Intelligence, and Outstanding Educator Awards from both ACM and AAAI.
From 2012 to 2014 he held the Chaire Blaise Pascal in Paris, and he has been awarded the Andrew Carnegie Fellowship for 2019 to 2021. He is an Honorary Fellow of Wadham College, Oxford; Distinguished Fellow of the Stanford Institute for Human-Centered AI; Associate Fellow of the Royal Institute for International Affairs (Chatham House); and Fellow of the Association for the Advancement of Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science.
His book “Artificial Intelligence: A Modern Approach” (with Peter Norvig) is the standard text in AI; it has been translated into 14 languages and is used in over 1400 universities in 128 countries.
His research covers a wide range of topics in artificial intelligence including machine learning, probabilistic reasoning, knowledge representation, planning, real-time decision making, multitarget tracking, computer vision, computational physiology, and philosophical foundations. He also works for the United Nations, developing a new global seismic monitoring system for the nuclear-test-ban treaty. His current concerns include the threat of autonomous weapons and the long-term future of artificial intelligence and its relation to humanity.
Today we are very excited to announce that we have received a list of books from one of the top experts in the area of Signal Processing. Professor Martin Vetterli of EPFL has kindly sent us a list of books in the area of Signal Processing.
Here is a short biography of Professor Vetterli:
is the president of École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, and a professor of engineering. Doctorat ès Sciences degree - École polytechnique fédérale de Lausanne (EPFL)
Martin Vetterli is the current president of École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, succeeding Patrick Aebischer.He’s a professor of engineering and was formerly the president of the National Research Council of the Swiss National Science Foundation. He has made numerous research contributions in the general area of digital signal processing and is best known for his work on wavelets. He has also contributed to other areas, including sampling (signal processing), computational complexity theory, signal processing for communications, digital video processing and joint source/channel coding. His work has led to over 150 journal publications and to two dozen of patents.
Awards and honours
- 2017 IEEE Jack S. Kilby Signal Processing Medal
- Best paper award from EURASIP Journal on Advances in Signal Processing (1984)
- Best paper award from IEEE Signal Processing Society (1991, 1996 and 2006)
- Fellow of the IEEE “for contributions to the theory and practice of subband coding and wavelets” (1995)
- National Latsis Prize (1996)
- SPIE Presidential award (1999)
- IEEE Signal Processing Technical Achievement Award (2001)
- Fellow of the Association for Computing Machinery (2009)
- Fellow of EURASIP
- IEEE Signal Processing Society Award (2010)
- Former member of the Swiss Science and Innovation Council (2000-2004)
- President of the National Research Council of the Swiss National Science Foundation
- Member of the US National Academy of Engineering.
Today we are very happy to announce that we have received a list of books suggested by a top expert in the area of Machine Learning. Dr. Robert Schapire of Microsoft Research and Princeton University has kindly sent us books in the area of Machine Learning. Here is a short biography of Dr. Schapire:
Robert Schapire is a Principal Researcher at Microsoft Research in New York City, and is currently a Visiting Lecturer in Computer Science. He received his PhD from MIT in 1991. After a short post-doc at Harvard, he joined the technical staff at AT&T Labs (formerly AT&T Bell Laboratories) in 1991. In 2002, he became a Professor of Computer Science at Princeton University. He joined Microsoft Research in 2014. His awards include the 1991 ACM Doctoral Dissertation Award, the 2003 Gödel Prize for co-inventing the AdaBoost in 1996 with Yoav Freund, and the 2004 Kanelakkis Theory and Practice Award (both of the last two with Yoav Freund). He is a fellow of the AAAI, and a member of both the National Academy of Engineering and the National Academy of Sciences. His main research interest is in theoretical and applied machine learning, with particular focus on boosting, online learning, game theory, and maximum entropy.
Today we are very excited that we have received a list of books suggested by a world-renowned expert in the areas of Antenna, RF and Microwave. Professor Rebeiz of UC San Diego has kindly sent of a list of some excellent books in the areas of Antennas and Microwave. Here is a short biography of Professor Rebeiz:
Gabriel M. Rebeiz (NAE Member and IEEE Fellow) is the Wireless Communications Industry Chair Professor of electrical and computer engineering at the University of California San Diego. Prior to this appointment, he was at the University of Michigan from 1988 to 2004. He received his Ph.D. from the California Institute of Technology. He has contributed to planar mm-wave and THz antennas and imaging arrays from 1988-1996, and his group has optimized the dielectric-lens antennas, which is the most widely used antenna at mm-wave and THz frequencies. Prof. Rebeiz’ group also developed 6-18 GHz and 40-50 GHz 8- and 16-element phased arrays on a single silicon chip, the first mm-wave silicon passive imager chip at 85-105 GHz, and the first silicon 100 GHz wafer-scale phased array. He is also an expert on millimeter-wave planar antennas, phased arrays, and satellite communication systems. He has worked on automotive radars at 24 GHz and 77 GHz since 1998 as a consultant and as a subcontractor to several leading phased-array and automotive radar companies.
Prof. Rebeiz was also the first to introduce MEMS and micromachining to the RF/microwave field, and has developed several novel components (tunable filters, wideband switches, low-loss phase shifters, high-Q varactors) using this technology. His group also demonstrated high-Q RF MEMS tunable filters at 1-20 GHz (Q> 200) and the new angular-based RF MEMS capacitive and high-power high-reliability RF MEMS metal-contact switches. His research interests are in the development of RF MEMS devices and tunable filters for the wireless and defense sector (reconfigurable networks, antennas, etc.). He has worked as a consultant for several leading RF MEMS and tunable front-end companies.
Prof. Rebeiz is an elected member of the National Academy of Engineering (NAE), an IEEE Fellow, an NSF Presidential Young Investigator, an URSI Koga Gold Medal Recipient, the 2003 IEEE MTT (Microwave Theory and Techniques) Distinguished Young Engineer, and is the recipient of the IEEE MTT 2000 Microwave Prize, the IEEE MTT 2010 Distinguished Educator Award and the 2011 IEEE AP (Antennas and Propagation) John D. Kraus Antenna Award. He also received the 1997-1998 Eta-Kappa-Nu Professor of the Year Award, the 1998 College of Engineering Teaching Award, and the 1998 Amoco Teaching Award given to the best undergraduate teacher at the University of Michigan, and the 2008 Teacher of the Year Award at the Jacobs School of Engineering, UCSD. His students have won a total of 20 best paper awards at IEEE MTT, RFIC and AP-S conferences. He has been an Associate Editor of IEEE MTT, and a Distinguished Lecturer for IEEE MTT, IEEE AP, and IEEE Solid-State Circuits Societies.
Prof. Rebeiz has mentored and supervised more than 100 graduate students and post-doctoral fellows, has more than 500 IEEE publications, and currently leads a group of 21 Ph.D. students and Post-Doctoral Fellows in the area of mm-wave silicon RFICs, tunable microwaves circuits, RF MEMS, planar mm-wave antennas and terahertz systems. He is the Director of the UCSD/DARPA Center on RF MEMS Reliability and Design Fundamentals, and the author of the best seller book, RF MEMS: Theory, Design and Technology, Wiley (2003).
Dear readers: we have added more books under Cambridge University. We hope you find the new lists useful. If you know of some books that are used in a top university, we would be happy to add that to Dorado List. For that please send us a link to a page that shows the book is being used at that specific university.
We are happy to announce that we have added more books under university section. We have updated the list of books in three universities: USC, UCLA, and Carnegie Mellon University. We hope you find the new lists useful. And as always we hope to hear your comments and suggestions.
The good news continues to come in specially for our female readers. For a second week in-a-row we have a book list from a wonderful female world-renowned expert. Professor Jelena Kovačević is very well known in the field of signal processing specially for her work with Martin Vetterli on Wavelets and subband coding. Despite being very busy as the Dean of the NYU Tandon School of Engineering, she has kindly sent us some bppk suggestions in the area of Signal Processing. Here is a short biography of this wonderful expert:
Jelena Kovačević became the Dean of the NYU Tandon School of Engineering in August 2018. She is the first woman to head the school since its founding in 1854 as the Brooklyn Collegiate and Polytechnic Institute.
Since her arrival, she has garnered numerous accolades, including inclusion on the City & State “Higher Education Power 50,” “Tech Power 50,” and “50 over 50” lists, as well as Crain’s “Notable Women in Tech” rankings. She has also been appointed to the American Society for Engineering Education (ASEE) Engineering Deans Council Executive Board in which capacity she works with her fellow deans to provide vision and leadership on engineering research, education and engagement.
She received the Dipl. Electrical Engineering degree from the EE Department, University of Belgrade, Yugoslavia, in 1986, and the MS and Ph.D. degrees from Columbia University, New York, NY, in 1988 and 1991, respectively. From 1991-2002, she was with Bell Labs, Murray Hill, NJ. She was a co-founder and Technical VP of xWaveforms, based in New York City, NY. She was also an Adjunct Professor at Columbia University. In 2003, she joined Carnegie Mellon University, where she was the Hamerschlag University Professor, Head of Electrical and Computer Engineering, and Professor of Biomedical Engineering.
She is a Fellow of the IEEE and EUSIPCO and a coauthor (with Martin Vetterli) of the book Wavelets and Subband Coding (Englewood Cliffs, NJ: Prentice Hall, 1995) as well as a coauthor (with Martin Vetterli and Vivek K Goyal) of Foundations of Signal Processing (Cambridge University Press, 2014) and Fourier and Wavelet Signal Processing (Cambridge University Press, 2015). She coauthored a top-10 cited paper in the Journal of Applied and Computational Harmonic Analysis, a top-100 downloaded paper on IEEE Xplore and the paper for which Aleksandra Mojsilović received the Young Author Best Paper Award. Her paper on multidimensional filter banks and wavelets (with Martin Vetterli) was selected as one of the Fundamental Papers in Wavelet Theory. She received the Belgrade October Prize in 1986, the E.I. Jury Award at Columbia University in 1991 and the 2010 CIT Philip L. Dowd Fellowship Award from the College of Engineering at Carnegie Mellon University.
She served as the Editor-in-Chief of the IEEE Trans. on Image Processing from 2002-2006, Associate Editor of the IEEE Trans. on Signal Processing, Guest Co-Editor (with Ingrid Daubechies) of the Special Issue on Wavelets of the Proceedings of the IEEE, Guest Co-Editor (with Martin Vetterli) of the Special Issue on Transform Coding of the IEEE Signal Processing Magazine and a Guest Co-Editor (with Robert F. Murphy) of the Special Issue on Molecular and Cellular Bioimaging of the IEEE Signal Processing Magazine. She was on the Editorial Boards of the Springer-Birkhauser Applied and Numerical Harmonic Analysis, Foundations and Trends in Signal Processing, SIAM book series on Computational Science and Engineering, Journal of Applied and Computational Harmonic Analysis, Journal of Fourier Analysis and Applications and the IEEE Signal Processing Magazine.
She was a regular member of the NIH EBIT Study Section from 2008-2012. From 2000-2002, she served as a Member-at-Large of the IEEE Signal Processing Society Board of Governors. She is the past Chair of the Bio Imaging and Signal Processing Technical Committee and on the ISBI Steering Committee. She was the General Chair of ISBI 2006 and 2015, General Co-Chair (with Vivek Goyal) of the DIMACS Workshop on Source Coding and Harmonic Analysis 2002 and General Co-Chair (with Jan Allebach) of the Ninth IMDSP Workshop 1996.
She was a plenary/keynote/tutorial/invited speaker at the Graph Signal Processing Workshop 2016, CompImage 2014, IEEE GlobalSIP 2013, IEEE Signal Processing in Medicine and Biology Symposium 2012, Automated Imaging & High-Throughput Phenotyping 2012, Mathematics and Image Analysis 2012, IS&T/SPIE Electronic Imaging Symposium 2011, From Banach Spaces to Frame Theory and Applications 2010, 20 Years of Wavelets 2009, European Women in Mathematics 2009, MIAAB Workshop 2007, Statistical Signal Processing Workshop 2007, Wavelet Workshop 2006, NORSIG 2006, ICIAR 2005, Fields Workshop 2005, DCC 1998 as well as SPIE 1998.
Here research interests are in the areas of: Biomedical imaging as well as multiresolution techniques such as wavelets and frames. Professor Kovačević has 20 US patents.
We have a great news, specially for our female readers. It is our great pleasure to announce that finally we have our first female world-renowned expert on Dorado List. Professor Daphne Koller of Stanford University, and one of the co-founders of Coursera has kindly responded to our request for a book list. Professor Koller’s list is in the area of machine learning. Here is a short biography of this top expert and top entrepreneur:
Previous Professor of Computer Science at Stanford University and a MacArthur Fellowship recipient. She is one of the founders of Coursera, an online education platform, and is founder and CEO of Insitro, a drug discovery startup. Ph.D. - Stanford University.
Daphne Koller was a Professor in the Department of Computer Science at Stanford University and a MacArthur Fellowship recipient. She is one of the founders of Coursera, an online education platform, and is founder and CEO of Insitro, a drug discovery startup. Her current interests are in machine learning and its applications to biology and human health. Koller was featured in a 2004 article by MIT Technology Review titled “10 Emerging Technologies That Will Change Your World” concerning the topic of Bayesian machine learning.
Koller received a bachelor’s degree from the Hebrew University of Jerusalem in 1985, at the age of 17, and a master’s degree from the same institution in 1986, at the age of 18. She completed her PhD at Stanford in 1993 under the supervision of Joseph Halpern. After her PhD, Koller did postdoctoral research at University of California, Berkeley from 1993 to 1995, and joined the faculty of the Stanford University Computer Science Department in 1995. She was named a MacArthur Fellow in 2004, was elected a member of the National Academy of Engineering in 2011 and was elected a fellow of the American Academy of Arts and Sciences in 2014.
In April 2008, Koller was awarded the first ever $150,000 ACM Prize in Computing.
She and Andrew Ng, a fellow Stanford computer science professor in the AI lab, launched Coursera in 2012. She served as the co-CEO with Ng, and then as President of Coursera. She was recognized for her contributions to online education by being named one of Newsweek’s 10 Most Important People in 2010, Time magazine’s 100 Most Influential People in 2012, and Fast Company’s Most Creative People in 2014.
She left Coursera in 2016 to become chief computing officer at Calico. In 2018, she left Calico to found Insitro, a drug discovery startup, where she is its CEO.
Koller is primarily interested in representation, inference, learning, and decision making, with a focus on applications to computer vision and computational biology. Along with Suchi Saria and Anna Penn of Stanford University, Koller developed PhysiScore, which uses various data elements to predict whether premature babies are likely to have health issues.
In 2009, she published a textbook on probabilistic graphical models together with Nir Friedman. She offered a free online course on the subject starting in February 2012.
Here are some of her major honors and awards:
- 2017: Elected ISCB Fellow by the International Society for Computational Biology (ISCB)
- 2014: Fast Company’s Most Creative People in Business
- 2014: Elected fellow of the American Academy of Arts and Sciences
- 2013: Time magazine’s 100 Most Influential People
- 2011: Elected to National Academy of Engineering
- 2010: Huffington Post 100 Game Changers
- 2010: Newsweek’s 10 Most Important People
- 2008: ACM Prize in Computing
- 2004: Oswald G. Villard Fellow for Undergraduate Teaching at Stanford University
- 2004: MacArthur Fellow
- 2003: Cox Medal at Stanford
- 2001: IJCAI Computers and Thought Award
- 1999: Presidential Early Career Award for Scientists and Engineers (PECASE)
- 1998: Office of Naval Research Young Investigator Award
- 1996: Sloan Foundation Faculty Fellowship
- 1994: Arthur Samuel Thesis Award
We would like to thank Professor Koller for being so genereous with her time and responding to us and we hope from now on we have more female experts listed on Dorado List.
It is our pleasure that announce we have received a book list from one of the most respected experts in the areas of wireless communications and signal processing. Professor Georgios Giannakis of University of Minnesota has kindly sent us his list of favorite books in the areas of control, signal processing, machine learning, pattern recognition, information theory, and wireless communications. Here is a short biography of Professor Giannakis:
Endowed Chair in Wireless Telecommunications, and McKnight Presidential Chair in ECE Digital Technology Center, Director University of Minnesota, Minneapolis. Ph.D. - University of Southern California
Georgios Giannakis is an Endowed Chair Professor of Wireless Telecommunications with the Department of Electrical and Computer Engineering, and Director of the Digital Technology Center at the University of Minnesota.
Professor Giannakis is internationally known for his work in the areas of statistical signal processing, distributed estimation using sensor networks, wireless communications and cross-layer network designs, on topics such as auto-regressive moving average system identification using higher-order statistics, principal component filter banks, linear precoding, multicarrier modulation, ultra-wideband communications, cognitive radios, and smart grids. Seminal work includes the development of linear precoding wireless communication systems, which provided a unified approach for designing space-time block codes that achieve data high rates and reliability, and proposal of zero-padding as an alternative to the cyclic prefix for multi-carrier communication systems, which had impact in the multi-band ultra wide band standard. Current research focuses on big data and network science with applications to social, brain and power networks with renewables.
Professor Gianankis has made major contributions in:
- System Identification Using Higher Order Statistics
- Linear Constellation Precoding
- Resilient Block-Based Modulation
- Multicarrier Modulation
Here are some of his major awards and honors:
- University of Minnesota McKnight Presidential Chair in ECE (2016)
- IEEE Fourier Technical Field Award (2015);
- EURASIP Fellow (2008)
- Distinguished Lecturer of IEEE SPS (2007)
- EURASIP Technical Achievement Award (2005)
- G. Taylor Research Award (2004)
- IEEE SPS Technical Achievement Award (2000)
- Endowed Chair in Wireless Telecommunications (2001)
- IEEE Fellow (1996)
- Eight journal publications received Best Paper Awards from the IEEE Signal Processing and Communications Societies; and six conference publications received Best Student Paper Awards (1990-2015)
- Highly cited researcher (more than 58,000 Google Scholar citations)
- H-index=123; top 20 in Engineering and Computer Science worldwide
Today we are very excited to announce that we have received a list of fantastic books from a world-renowned expert in wireless telecommunications, signal processing and information theory. Professor Vincent Poor of Princeton University has kindly provided us his list of favorite books in the areas of signal processing and information theory. Here is a short biography of Professor Poor:
Harold Vincent Poor, FRS FREng is the former Dean of Engineering and a professor at Princeton University, USA. He is a specialist in wireless telecommunications, signal processing and information theory. He has received many honorary degrees and election to national academies. He was also President of IEEE Information Theory Society (1990). He is on the Board of Directors of the IEEE Foundation.
Professor Poor received a BSEE degree from Auburn University in 1972, and a MSEE from there in 1974. In 1977, he received his PhD from Princeton University. From 1977 - 1990, he was a faculty member of the University of Illinois at Urbana–Champaign. From 1990, he joined Princeton University as a professor.
His research interests lie in the areas of stochastic analysis, statistical signal processing and information theory, and their applications in a number of fields including wireless networks, social networks, and smart grid. This research work has attracted over 10,000 citations. He has published a book on Signal Detection and Estimation which is considered the definitive reference in the subject. He was reported to have made a particular impact in the field of wireless communications.
Today we are happy to announce that we have updated the list of books in the Harvard university and added a significant number of books.
Our plan is to update the list of books for other universities quickly and at the same time contact top experts and ask for their list of suggested books.
Have a wonderful day and as always we will be more than happy to hear your feedback.
Sorry for such a long delay in the updating the website. We have been working on the background on the technology that helps us update the website more often and faster with great content.
Today we are happy to announce that we have updated the list of boox in the Oxford university and added a significant number of books.
Our plan is to update the list of books for other universities quickly and at the same time contact top experts and ask for their list of suggested books.
Have a wonderful day and as always we will be more than happy to hear your feedback.
Today we are very excited to announce that we have received a list of fantastic books from a world-renowned computer scientist and expert in computer vision. Professor Andrew Zisserman of Oxford has kindly provided us his list of favorite books in the areas of computer vision and machine learning. Here is a short biography of Professor Zisserman:
Professor Zisserman received the Part III of the Mathematical Tripos, and his PhD in theoretical physics from the Sunderland Polytechnic. In 1984 he started to work in the field of computer vision at the University of Edinburgh. Together with Andrew Blake they wrote the book Visual reconstruction published in 1987, which is considered one of the seminal works in the field of computer vision. According to Fitzgibbon (2008) this publication was “one of the first treatments of the energy minimisation approach to include an algorithm (called “graduated non-convexity”) designed to directly address the problem of local minima, and furthermore to include a theoretical analysis of its convergence.”
In 1987 he moved back to England to the University of Oxford, where he joined Mike Brady’s newly founded robotics research group as a University Research Lecturer, and started to work on multiple-view geometry. According to Fitzgibbon (2008) his “geometry was successful in showing that computer vision could solve problems which humans could not: recovering 3D structure from multiple images required highly trained photogrammetrists and took a considerable amount of time. However, Andrew’s interests turned to a problem where a six-year-old child could easily beat the algorithms of the day: object recognition.
Professor Zisserman has published several articles, some of the most highly cited works in the field, and has edited a series of books. A selection:
- 1987 Visual reconstruction. With Andrew Blake.
- 1992 Geometric invariance in computer vision. Edited with Joseph Mundy.
- 1994 Applications of invariance in computer vision : second joint European-US workshop, Ponta Delgada, Azores, Portugal, 9–14 October 1993 : proceedings. With Joseph L. Mundy and David Forsyth (eds).
- 1996 ECCV ‘96 International Workshop (1996 : Cambridge, England) Object representation in computer vision II : ECCV ‘96 International Workshop, Cambridge, UK, 13–14 April 1996 : proceedings. With Jean Ponce, and Martial Hebert (eds.).
- 1999 International Workshop on Vision Algorithms (1999 : Corfu, Greece) Vision algorithms : theory and practice : International Workshop on Vision Algorithms, Corfu, Greece, 21–22 September 1999 : proceedings. With Bill Triggs and Richard Szeliski (eds.).
- 2000 Multiple view geometry in computer vision. With Richard Hartley. Second edition 2009.
- 2008 Computer vision – ECCV 2008 : 10th European conference on computer vision, Marseille, France, 12–18 October 2008, proceedings, part I. Edited with David Forsyth and Philip Torr.
Awards and honours
Professor Zisserman is an ISI Highly Cited researcher. He is the only person to have been awarded the Marr Prize three times, in 1993, in 1998, and in 2003. He was elected Fellow of the Royal Society in 2007. In 2008 he was awarded BMVA Distinguished Fellowship. In 2013 he received the prestigious Distinguished Researcher Award at ICCV. Zisserman received the 2017 Royal Society Milner Award “in recognition of his exceptional achievements in computer programming which includes work on computational theory and commercial systems for geometrical images.
Today we are super excited to announce that we have received fantastic list of books from a world-renowned experts in the field of Coding Theory. Professor Amin Shokrollahi of EPFL who is also the founder and CEO of Kandou Bus has kindly sent us list of books in the aread of Coding Theory. He also was very kind to us and added some notes for each book explaining why he likes that book. Here is s short biography of Professor Shokrollahi:
Amin Shokrollahi (born 1964) is an Iranian mathematician who has worked on a variety of topics including coding theory and algebraic complexity theory. He is best known for his work on iterative decoding of graph based codes for which he received the IEEE Information Theory Paper Award of 2002 (together with Michael Luby, Michael Mitzenmacher, and Daniel Spielman, as well as Tom Richardson and Ruediger Urbanke). He is one of the inventors of a modern class of practical erasure codes known as tornado codes, and the principal developer of raptor codes, which belong to a class of rateless erasure codes known as Fountain codes. In connection with the work on these codes, he received the IEEE Eric E. Sumner Award in 2007 together with Michael Luby “for bridging mathematics, Internet design and mobile broadcasting as well as successful standardization” and the IEEE Richard W. Hamming Medal in 2012 together with Michael Luby “for the conception, development, and analysis of practical rateless codes”. He also received the 2007 joint Communication Society and Information Theory Society best paper award as well as the 2017 Mustafa Award for his work on raptor codes.
He is the principal inventor of Chordal Codes, a new class of codes specifically designed for communication on electrical wires between chips. In 2011 he founded the company Kandou Bus dedicated to commercialization of the concept of Chordal Codes. The first implementation, transmitting data on 8 correlated wires and implemented in a 40 nm process, received the Jan Van Vessem Award for best European Paper at the International Solid-State Circuits Conference (ISSCC) 2014.
Today we are very happy to announce that we have received wonderful books list from a top expert in the areas of Computer Vision, Pattern Recognition and Biometics. Professor Anil K. Jain has kindly provided list of books in Computer Vision, Pattern Recognition, and Biometrics. Here is a short biography of Professor Jain:
Anil K. Jain is a University Distinguished Professor in the Department of Computer Science & Engineering at Michigan State University. He was appointed an Honorary Professor at Tsinghua University and a WCU Distinguished Adjunct Professor at Korea University. He received B.Tech degree from the Indian Institute of Technology, Kanpur and M.S. and Ph.D. degrees from The Ohio State University. His research interests include pattern recognition, computer vision and biometric recognition.
He has been recognized with a Guggenheim Fellowship, Humboldt Research Award, Fulbright fellowship, IEEE Computer Society Technical Achievement award, IEEE W. Wallace McDowell award, IAPR King-Sun Fu Prize, IEEE ICDM Research Contribution award, IAPR Senior Biometric Investigator award, MSU Withrow Teaching Excellence award, and the MSU 2014 Innovator of the Year award. He served as the Editor-in-Chief of the IEEE Trans. Pattern Analysis and Machine Intelligence (1991-1994) and is a Fellow of the ACM, IEEE, AAAS, IAPR and SPIE.
It is our pleasure to publish the list of books suggested by a pioneer in the field of Wireless Communications. Professor Kaveh Pahlavan has kindly provided his list of books which you can see here and here. Here is a short biography of Professor Pahlavan:
Professor of Electrical and Computer Engineering, a Professor of Computer Science, and Director of the Center for Wireless Information Network Studies (CWINS), Worcester Polytechnic Institute, Worcester, Massachusetts, Ph.D. - Worcester Polytechnic Institute.
Kaveh Pahlavan (born in Tehran, Iran), is a Professor of Electrical and Computer Engineering, a Professor of Computer Science, and Director of the Center for Wireless Information Network Studies (CWINS), Worcester Polytechnic Institute, Worcester, Massachusetts.
Professor Pahlavan is internationally renown as one of the pioneering visionary researchers of Wi-Fi Technology and wireless Indoor-Geolocation. Since 2009 he has extended his research in wireless access and localization in to the body area networking. He has contributed to numerous seminal technical and visionary publications and patents in voice-band modem, wireless LANs, wireless heterogeneous networks, wireless indoor Geolocation, Wi-Fi Positioning Systems and localization for capsule endoscopy applications. He is author of several pioneering books in the area of wireless networks.
Today we are very excited to publish the list of one of top experts in the field if Microelectronics. Professor Siegfried Selberherr has kindly sent us his list of books, which you can see here. Here is a short biography of Professor Selberherr:
Siegfried Selberherr is an Austrian scientist in the field of microelectronics. He is a professor at the Institute for Microelectronics of the Technische Universität Wien (TU Wien). His primary research interest is in modeling and simulation of physical phenomena in the field of microelectronics.
In his scientific career Prof. Selberherr has published, with his teams of researchers, so far over 350 journal papers and over 1000 articles in conference proceedings, of which more than 150 have been with an invited talk. Additionally, he published 2 books and co-edited more than 30 volumes, and he supervised, so far, more than 100 dissertations.
HONORS and AWARDS:
- 2018: IEEE Cledo Brunetti Award
- 2015: ‘Franz Dinghofer Medal’ of the Dinghofer Institute
- 2014: Marin Drinov decoration of honour on ribbon of the Bulgarian Academy of Sciences 
- 2013: Full Member of the Academia Europaea
- 2011: Silver Commander’s Cross of the Order of Merit for Distinguished Service for the Federal Province of Lower Austria
- 2009: ‘Advanced Grant’ of the ERC
- 2006: Honorary Doctorate of the University of Niš
- 2005: Grand Decoration of Honour for Services to the Republic of Austria 
- 2004: Full Member of the European Academy of Sciences and Arts
- 2001: ‘Erwin Schrödinger Award’ of the Austrian Academy of Sciences, ÖAW
- 1994: ‘Wilhelm Exner Medal’ of the Austrian Association for Small and Medium-sized Enterprises, ÖGV.
- 1993: ‘Fellow’ of the Institute of Electrical and Electronics Engineers, IEEE
- 1986: ‘Heinz Zemanek Award’ of the Austrian Computer Society, ÖCG
- 1983: ‘Dr. Ernst Fehrer Award’ of the TU Wien
Today we are honored to publish a list of books from “The father of DSL” technology, Professor John Cioffi of Stanford University and ASSIA Inc. He has kindly sent of hist list of books, which you can see here. Here is a short biography of Professor Cioffi:
John Cioffi is a Professor Emeritus of Electrical Engineering at Stanford University and prolific inventor who has made contributions in telecommunication system theory, specifically in coding theory and information theory. Best known as “the father of DSL,” Cioffi’s pioneering research was instrumental in making digital subscriber line (DSL) technology practical and has led to over 400 publications and more than 100 pending or issued patents, many of which are licensed.
John Cioffi was born and raised in Illinois. He earned a B.S.E.E. degree from the University of Illinois at Urbana–Champaign in 1978. From 1978 to 1982, he worked as a modem designer at Bell Laboratories in New Jersey. While at Bell Laboratories, he also attended Stanford University, where he earned a Ph.D. degree in Electrical Engineering in 1984. In 1984, Cioffi left Bell Labs to work at IBM as a hard disk drive read channel researcher.
In 1986, Cioffi began his teaching career as an assistant professor of electrical engineering at Stanford University. Cioffi supervised the Ph.D. programs of more than 70 students over the course of more than two decades. His and his students’ research into discrete multitone modulation (DMT) became widely adopted in digital subscriber line (DSL) technology, used commonly for Internet access.
In 1991, at the age of 35, Cioffi took a leave of absence from Stanford to found Amati Communications Corporation. His vision was to build DSL modems based on his and his students’ research. Many of Cioffi’s former and present students followed him to Amati, where they built the Prelude modem, a DSL modem that could transmit 6+ megabits per second over 9,000 feet of telephone line. The Prelude modem would go on to win what has become known as the “Bellcore ADSL Olympics” in 1993 by performing significantly better than modems using single-carrier modulation techniques, such as quadrature amplitude modulation (QAM) and carrierless amplitude phase modulation (CAP), including modems from AT&T and Bellcore. Hundreds of millions of people now use DSL based on Amati’s innovations.
In 1993, Cioffi returned to Stanford, although he remained involved with Amati as an officer and director until its 1998 acquisition by Texas Instruments. Cioffi’s research interests then turned to dynamic spectrum management (DSM), an improvement on DSL that mitigates service interruptions and allows DSL lines to run with higher and more reliable data rates.
In 2003, Cioffi founded Adaptive Spectrum and Signal Alignment, Inc. (ASSIA) to help service providers realize improvements in the performance and profitability of their DSL networks. Today ASSIA’s customers collectively provide DSL service to more than 70 million subscribers worldwide. In 2009, Cioffi assumed emeritus status at Stanford, as the Hitachi Professor Emeritus of Engineering. He is now CEO and Chairman of ASSIA.
HONORS and AWARDS:
- IEEE Leon K. Kirchmayer Award for Graduate Teaching (2014)
- IEEE Alexander Graham Bell Medal (2010)
- Honorary Doctorate, Edinburgh University (2010)
- University of Illinois School of Engineering Outstanding Alumni Awards (2010)
- The Economist Innovation Award – Computing and Telecommunications (2010)
- International Fellow Royal Society of Engineering (UK) (2009)
- Marconi Fellow (2006)
- Member National Academy of Engineering (2001)
- IEEE Koji Kobayashi Computers and Communications Award (2001)
- IEEE Third Millennium Medal (2000)
- IET J. J. Thomson Medal (2000)
- University of Illinois Electrical Engineering Outstanding Alumni Awards (1999)
- IEEE Fellow (1996)
- Outstanding Achievement Award, American National Standards Institute for contributions to ADSL (1995)
Today with pleasure we announce that we have received list of books form a Coding theorist icon. Professor Elwyn Berlekamp of UC Berkeley, has kindly sent of hist list. Here is a short biography of Professor Berlekamp:
Berlekamp was born in Dover, Ohio. His family moved to Northern Kentucky, where Berlekamp graduated from Ft. Thomas Highlands high school in Ft. Thomas, Campbell county, Kentucky. While an undergraduate at the Massachusetts Institute of Technology (MIT), he was a Putnam Fellow in 1961. He completed his bachelor’s and master’s degrees in electrical engineering in 1962. Continuing his studies at MIT, he finished his Ph.D. in electrical engineering in 1964; his advisors were Robert G. Gallager, Peter Elias, Claude Shannon, and John Wozencraft. Berlekamp taught electrical engineering at the University of California, Berkeley from 1964 until 1966, when he became a mathematics researcher at Bell Labs. In 1971, Berlekamp returned to Berkeley as professor of mathematics and EECS, where he served as the advisor for over twenty doctoral students. He is now professor emeritus.
Berlekamp is the inventor of an algorithm to factor polynomials, and is one of the inventors of the Welch-Berlekamp algorithm and the Berlekamp–Massey algorithms, which are used to implement Reed–Solomon error correction. In the mid-1980s, he was president of Cyclotomics, Inc., a corporation that developed error-correcting code technology. With John Horton Conway and Richard K. Guy, he co-authored Winning Ways for your Mathematical Plays, leading to his recognition as one of the founders of combinatorial game theory. He has studied various games, including dots and boxes, Fox and Geese, and, especially, Go. With David Wolfe, Berlekamp co-authored the book Mathematical Go, which describes methods for analyzing certain classes of Go endgames.
Outside of mathematics and computer science, Berlekamp has also been active in money management. In 1986, he began information-theoretic studies of commodity and financial futures. In 1989, Berlekamp purchased the largest interest in a trading company named Axcom Trading Advisors. After the firm’s futures trading algorithms were rewritten, Axcom’s Medallion Fund had a return (in 1990) of 55%, net of all management fees and transaction costs. The fund has subsequently continued to realize annualized returns exceeding 30% under management by James Harris Simons and his Renaissance Technologies Corporation.
- 2013: Stanford University’s “Kailath Lecture”
- 2013: Fellow, American Mathematical Society
- 2011: University of South California’s “Viterbi Lecture”
- 2006: University of Calgary “Richard & Louise Guy Lecture Series”
- 2004: American Math Society’s “Arnold Ross Lecturer”
- 2001: Fellow, American Association for the Advancement of Science
- 1999: National Academy of Sciences, Sec.11: Mathematics (and affiliate member, Sec. 34: Computer and Information Sciences) Plus: NAS/NAE Boards and Committees
- 1998: Golden Jubilee Award
- 1996: American Academy of Arts and Sciences, Mathematics Section
- 1995: Motion Picture Academy Technical Oscar for Cinema Digital Sound
- 1993: Claude E. Shannon Award
- 1991: R. W. Hamming Medal
- 1990: Koji Kobayashi Computers and Communications Award
- 1984: Centennial Medal (IEEE)
- 1977: National Academy of Engineering, Computer Science Section
- 1975-1976: ACM Lecturer for Special Interest Group on Symbolic and Algebraic Manipulation
- 1971: Elected Fellow of IEEE
- 1971: Eta Kappa Nu “Outstanding Young Electrical Engineer” Award
- 1969: Best Research Paper Award (IEEE Information Theory Society)
- 1961: William Lowell Putnam Intercollegiate Mathematics Competition, top 5
It is our pleasure to announce that we have received excellent lists of books from a world-renowned coding expert. Professor Alaxander Vardy of the University of California, San Diego, has kindly sent us lists of some wonderful books. Here is a short biography of Professor Vardy:
Alexander Vardy is the the Jack Keil Wolf Endowed Chair Professor at the University of California San Diego, where he is affiliated with the Department of Electrical Engineering and the Department of Computer Science. He was born in Moscow, U.S.S.R, and grew up in Israel. He graduated summa cum laude from the Technion – Israel Institute of Technology in 1985, and completed his Ph.D. in 1991 at the Tel Aviv University.
Since 1987, he has been working in the field of coding theory. As part of his work, he has discovered certain codes and decoding algorithms that are now named after him. His 2003 paper with Ralf Koetter on algebraic soft-decision decoding of Reed-Solomon codes won the IEEE Information Theory Society Paper Award, and the resulting decoding algorithm became known as the Koetter-Vardy decoder. In his 2005 paper with Farzad Parvaresh (FOCS Best Paper Award), he discovered the Parvaresh-Vardy codes. In a recent paper with Ido Tal, he introduced a list-decoding algorithm for polar codes that you will soon be using (as part of the 5G standard) whenever you make a phone call or access the Internet on a mobile device. Among other things, he holds the record for the densest packing of spheres in 20 dimensions (Inventiones Mathematicae, 1995) and for the fastest decoding of the Leech lattice. He is also a co-discoverer of the only known q-analogue of a Steiner system.
- 2017: Fellow, Association for Computing Machinery (ACM)
- 2016: IEEE Communications & Information Theory Societies Joint Paper Award
- 2007: Highly-Cited Researcher, Thomson Scientific ISI
- 2006: J. William Fulbright Senior Scholar Fellowship
- 2005: Best Paper Award, Symposium on Foundations of Computer Science (FOCS)
- 2004: IEEE Information Theory Society Paper Award
- 1999: Fellow, Institute of Electrical and Electronics Engineers (IEEE)
- 1996: David and Lucile Packard Foundation Fellow
- 1996: Xerox Award for Faculty Research
- 1993: IBM Invention Achievement Award
- 1991: Rothschild Foundation Fellowship
Today we are supper excited to announce that we have receive a list of books from a world-renowned expert in Electronics, with significant works on digital audio, video, and data recording. Professor Kees Schouhamer Immink of the Turing Machines Inc has kindly privided us with a list of some wonderful books. Here is a short biography of Professor Immink:
Kees Schouhamer Immink
President and founder of Turing Machines Inc., a Dutch-based research and consulting firm that contributes to science and technology., Ph.D. - Eindhoven University of Technology.
Kornelis Antonie (Kees) Schouhamer Immink (born 18 December 1946) is a Dutch scientist, inventor, and entrepreneur, who pioneered and advanced the era of digital audio, video, and data recording, including popular digital media such as Compact Disc, DVD and Blu-ray Disc. He has been a prolific and influential engineer, who holds more than 1100 U.S. and international patents. A large portion of the commonly used audio and video playback and recording devices use technologies based on his work. His contributions to coding systems assisted the digital video and audio revolution, by enabling reliable data storage at information densities previously unattainable.
Immink received several tributes that summarize the impact of his contributions to the digital audio and video revolution. Among the accolades received are the IEEE Medal of Honor “for pioneering contributions to video, audio, and data recording technology, including compact disc, DVD, and Blu-ray”, the Edison Medal and an individual Technology Emmy award by the National Academy of Television Arts and Sciences (NATAS). Beatrix, Queen of the Netherlands bestowed him a knighthood in 2000.
Currently, Immink holds the position of president of Turing Machines Inc, which was founded in 1998. During his career, Immink, in addition to his practical contributions, has contributed to information theory. He wrote over 120 articles and four books, including Codes for Mass Data Storage Media. He has been an adjunct professor at the Institute for Experimental Mathematics, University of Duisburg and Essen, Germany, since 1994, as well as affiliated with the National University of Singapore (NUS) as a visiting professor since 1997.
Today we are very happy to announce that we have received a list of books form a world-renowned cryptographist. Professor Dan Boneh of Stanford has kindly provided a list of some excellent cryptography books. Here is a short biography of Professor Boneh:
Born in Israel in 1969, Dan Boneh obtained his Ph.D. in Computer Science from Princeton University in 1996 under the supervision of Richard J. Lipton. Professor Boneh is one of the principal contributors to the development of pairing-based cryptography from the Weil Pairing, along with Matt Franklin of the University of California, Davis. He joined the faculty of Stanford University in 1997, and became professor of computer science and electrical engineering. He teaches massive open online courses on the online learning platform Coursera. In 1999 he was awarded a fellowship from the David and Lucile Packard Foundation. In 2002, he co-founded a company called Voltage Security with three of his students. The company was acquired by Hewlett Packard in 2015.
Professor Boneh’s awards include:
- 2014 ACM-Infosys Foundation award
- 2013 Gödel Prize
- Sloan Research Fellowship
- The Terman Award
- 2005 RSA Award
Today we are very excited to announce that we have added a top rank university to our list. EPFL is a research institute and university in Lausanne, Switzerland, that specializes in natural sciences and engineering. It is one of the two Swiss Federal Institutes of Technology. EPFL is widely regarded as a world leading university. The QS World University Rankings ranks EPFL 12th in the world across all fields in their 2017-2018 ranking, whilst Times Higher Education World University Rankings ranks EPFL as the world’s 11th best school for Engineering and Technology. We have added many books that are/have been used at this fantastic university to our list, and we hope you find them useful.
This is our pleasure to announce that we have added a number of Biomedical Engineering books under Carnegie Mellon University, we hope you’ll find the list useful.
As useuall we would like to hear from you. Please let us know if you think any expert shall be on our list of experts, also let us know how can we improve the site.
Today we published a very interesting article about Stanford Three Books Program.
Getting accepted into the Stanford University is very compitetive. To add more to the excitement of newly accepted students, Stanford administration releases the name of three books in the summer. Students have the chance of reading the books and in their orientation they get a chance to talk with the books autors and ask questions.
This beautiful tradition was startded on 2004, and has been on the summer schedule of newly admitted Stanford students every year after that. In this post you can see who has suggested books each ear and the name of the books.
Hope you enjoy the list as it is very diverse and interesting.
Happy new year to all, we wish you a very happy and healthy 2018.
Today we are very excited to announce that we have added a list of some of the books that are being or have been used at Carnegie Mellon University. Carnegie Mellon University is one of top universities in the United States and in the world. The books are mainly in the area of Computer Science. We hope you find the list useful.
Today we are excited to announce that we have a list of some great books in Power Electronics provided by a world-renowned expert. Professor Thomas Lipo of the University of Wisconsin Madision has kindly sent us this list. Here is a short biography of Professor Lipo:
An international authority on the design and analysis of electric machines and power electronics drives for over 40 years, Thomas A. Lipo’s innovative contributions have advanced the state of the art and improved the efficiency and reliability of motors and drives. Prof. Lipo began his pioneering work in 1968 with the analysis, simulation, and control of early alternating-current motor drives, impacting electric traction control for subway cars and open pit mining equipment, among other applications. He has pioneered or improved upon electrical machine topologies, including flux switched machines, high torque vernier machines, axial flux permanent magnet machines, brushless doubly fed reluctance machines, open winding machines, and double air gap machines. He also pioneered modern, multiphase fault-tolerant machines, demonstrating that a new family of five-phase induction and synchronous reluctance motors could provide more torque and higher robustness compared to traditional three-phase motors. Prof. Lipo’s work with his students on permanent magnet motors has provided a key element for the design of traction applications in hybrid and electric vehicles, known as the “characteristic current.” Also among his trend-setting research that has helped move power technology from concept to practical applications, Prof. Lipo and his students were the first to investigate methods of eliminating the effects of input voltage unbalance on motor drives. This work has been widely referenced and used in many commercial applications. In 1980, Prof. Lipo cofounded the Wisconsin Electric Machines and Power Electronics Consortium at the University of Wisconsin, WI, USA, which has become an internationally renowned collaborative effort of industry sponsors, professors, and students in the research and development of new power electronics technologies.
An IEEE Life Fellow and member of the US National Academy of Engineering and the UK Royal Academy of Engineering, Prof. Lipo is an Emeritus Professor with Department of Electrical and Computer Engineering at the University of Wisconsin, Madison, WI, USA.
Today we are very happy to announce that we have list of great books in Control Theory from a top expert. Professor Miroslav Krstic of UC San Diego has kindly sent us hist list of books in Control Theory. Here is a short biography of Professor Krstic:
Sr. Assoc. Vice Chancellor for Research, Distinguished Professor of Mechanical and Aerospace Engineering, University of California, San Diego, Ph.D. University of California, Santa Barbara
Miroslav Krstic is Distinguished Professor of Mechanical and Aerospace Engineering, holds the Alspach endowed chair, and is the founding director of the Cymer Center for Control Systems and Dynamics at UC San Diego. He also serves as Associate Vice Chancellor for Research at UCSD. As a graduate student, Krstic won the UC Santa Barbara best dissertation award and student best paper awards at CDC and ACC. Krstic has been elected Fellow of seven scientific societies - IEEE, IFAC, ASME, SIAM, AAAS, IET (UK), and AIAA (Assoc. Fellow) - and is a foreign member of the Academy of Engineering of Serbia. He has received the ASME Oldenburger Medal, Nyquist Lecture Prize, Paynter Outstanding Investigator Award, Ragazzini Education Award, Chestnut textbook prize, the PECASE, NSF Career, and ONR Young Investigator awards, the Axelby and Schuck paper prizes, and the first UCSD Research Award given to an engineer. Krstic has also been awarded the Springer Visiting Professorship at UC Berkeley, the Distinguished Visiting Fellowship of the Royal Academy of Engineering, the Invitation Fellowship of the Japan Society for the Promotion of Science, and honorary professorships from four universities in China. He serves as Senior Editor in IEEE Transactions on Automatic Control and Automatica, as editor of two Springer book series, and has served as Vice President for Technical Activities of the IEEE Control Systems Society and as chair of the IEEE CSS Fellow Committee. Krstic has coauthored twelve books on adaptive, nonlinear, and stochastic control, extremum seeking, control of PDE systems including turbulent flows, and control of delay systems.
We hope you find the list of books suggested by Professor Krstic useful.
Today we are very excited to publish a list of books from a world-renowned expert in Power Electronics. Professor Bimal Bose has kindly sent us his list of favorite books in power electronics. Here is a short biography of Professor Bose:
Dr. Bose held the Condra Chair of Excellence (Endowed Chair Professor) in Power Electronics at the University of Tennessee, Knoxville, since 1987, where he was responsible for teaching and the research program in power electronics and motor drives. Concurrently, he was the Distinguished Scientist (1989-2000) and the Chief Scientist (1987-1989) of EPRI-Power Electronics Applications Center, Knoxville, TN. Prior to this, he was a Research Engineer in the General Electric Corporate Research and Development (now GE Global Research Center), Schenectady, NY, for 11 years (1976-1987), an Associate Professor of Electrical Engineering, Rensselaer Polytechnic Institute, Troy, NY for five years (1971-1976), and a faculty member at Bengal Engineering and Science University (BESU)(formerly Bengal Engineering College), India for 11 years (1960-1971). He is specialized in power electronics and motor drives area, and has given extensive contributions in power converters, PWM techniques, electric/hybrid vehicle drives, microprocessor/DSP control, system simulation, renewable energy systems, and application of artificial intelligence techniques (expert system, fuzzy logic and neural network) in power electronics and drives systems. He served as a visiting professor in Federal University of Mato Grosso Sul (1989), Brazil; Aalborg University (1997), Denmark; Padova University (2003), Italy; Sevilla University (2008), Spain; and European Ph.D. School (2010), Italy. He has been power electronics consultant in a large number of industries. Dr. Bose has authored and co-authored more than 250 papers and holds 21 U.S. patents. He has authored/edited seven books in power electronics: Power Electronics and Motor Drives – Advances and Trends (Elsevier/Academic Press, 2006), Modern Power Electronics and AC Drives (Prentice-Hall, 2001), Power Electronics and AC Drives (Prentice-Hall, 1986), Power Electronics and Variable Frequency Drives (Wiley/IEEE Press, 1997), Modern Power Electronics (IEEE Press, 1992), Microcomputer Control of Power Electronics and Drives (IEEE Press, 1987), and Adjustable Speed AC Drive Systems (IEEE Press, 1981). The books have been translated in several foreign languages. “Dr. Bimal K. Bose: A Reference for Generations – globally promoted power electronics, not only by his research publications and books, but also through his endless tutorial presentations, invited seminars, IEEE Distinguished Lectures and keynote addresses throughout the world” – comments IEEE IES Magazine Editor (June 2009). The IEEE IE Society Magazine (June 2009) honored him by publishing a “Special Issue Honoring Dr. Bimal Bose and Celebrating His Contributions in Power Electronics” with his photo on front cover.
Dr. Bose has served the IEEE in various capacities, including Member of the IEEE Awards Board, Member of the IEEE Medal in Power Engineering Committee, Chairman of the IEEE Industrial Electronics Society (IES) Power Electronics Council, Associate Editor of the IEEE Transactions on Industrial Electronics, IEEE IECON Power Electronics Chairman, Chairman of the IEEE Industry Applications Society (IAS) Industrial Power Converter Committee, IAS Member of the Neural Network Council, Vice-Chair of the IEEE Medals Council, Vice-Chair of the IAS Distinguished Lecture Program, Member of IEEE-USA Energy Policy Committee, Member of the IEEE Fellow Committee, Member of IEEE Lamme Medal Committee, Member of the Editorial Board of the Proceedings of the IEEE, and Member of IEEE Spectrum Advisory Board. He was the Guest Editor of the Proceedings of the IEEE (Special Issue of Power Electronics and Motion Control, August 1994), and Special Section Editor of IEEE Transactions of Industrial Electronics (Neural Network Applications in Power Electronics and Motor Drives, February 2006). Dr. Bose has B.E. degree in 1956 from BESU, India, M.S. degree in 1960 from University of Wisconsin, Madison,, and D. Phil degree in 1966 from Calcutta University.
We have added three new subjects under Stanford University. There are:
The books that we have reported in these sections are or have been used at department of computer science at Stanford University. We hope you find the list useful and as always we love to hear from you.
The great news today is that we have received a list of fantastic books in Computer Networking from a world-renowned expert, Professor Leonard Kleinrock of UCLA. Here is a short biography of this wonderful expert:
Professor Leonard Kleinrock is Distinguished Professor of Computer Science at UCLA. He developed the mathematical theory of packet networks, the technology underpinning the Internet, while a graduate student at MIT in the period from 1960-1962. The birth of the Internet occurred in his UCLA laboratory (3420 Boelter Hall) when his Host computer became the first node of the Internet in September 1969 and it was from there that he directed the transmission of the first message to pass over the Internet on October 29, 1969.
Dr. Kleinrock received his Ph.D. from MIT in 1963. He has served as a Professor of Computer Science at the University of California, Los Angeles since then, serving as Chairman of the department from 1991-1995. He received his BEE degree from CCNY in 1957. and his MS degree from MIT in 1959. He is also the recipient of a number of Honorary Doctorates. He was the first President and Co-founder of Linkabit Corporation, the co-founder of Nomadix, Inc., and Founder and Chairman of TTI/Vanguard, an advanced technology forum organization. He has published over 250 papers and authored six books on a wide array of subjects, including packet switching networks, packet radio networks, local area networks, broadband networks, gigabit networks, nomadic computing, intelligent software agents, performance evaluation, and peer-to-peer networks. During his tenure at UCLA, Dr. Kleinrock has supervised the research for 48 Ph.D. students and numerous M.S. students. These former students now form a core group of the world’s most advanced networking experts.
Dr. Kleinrock is a member of the National Academy of Engineering, a member of the American Academy of Arts and Sciences, an IEEE fellow, an ACM fellow, an INFORMS fellow, an IEC fellow a Guggenheim fellow, and a founding member of the Computer Science and Telecommunications Board of the National Research Council. He is recipient of the 2007 National Medal of Science, the L.M. Ericsson Prize, the NAE Charles Stark Draper Prize, the Marconi International Fellowship Award, the Dan David Prize, the Okawa Prize, the IEEE Internet Millennium Award, the ORSA Lanchester Prize, the ACM SIGCOMM Award, the NEC Computer and Communications Award, the Sigma Xi Monie A. Ferst Award, the CCNY Townsend Harris Medal, the CCNY Electrical Engineering Award, the UCLA Outstanding Faculty Member Award, the UCLA Distinguished Teaching Award, the UCLA Faculty Research Lecturer, the INFORMS President’s Award, the ICC Prize Paper Award, the IEEE Leonard G. Abraham Prize Paper Award, and the IEEE Harry M. Goode Award.
Today we are very excited to announce that we have received great list of books from a world-renowned expert in Wireless Communications. Professor Andreas Molisch of USC has kindly sent us list of some great Wireless Communications, Mobile and Signal Processing books. Here is a short biography of Professor Molisch:
Andreas F. Molisch received the Dipl. Ing., Dr. techn., and habilitation degrees from the Technical University Vienna (Austria) in 1990, 1994, and 1999, respectively. Since 2009, he is Professor of Electrical Engineering at the University of Southern California, Los Angeles, CA, USA, where he heads the Wireless Devices and Systems (WiDeS) group. Since 2011, he is also co-director of the Communications Sciences Institute (CSI).
Dr. Molisch is Area Editor for Antennas and Propagation of the IEEE Trans. Wireless Comm., Division Editor for the Journal of Communications and Networking and co-editor of special issues of several journals. Dr. Molisch is a Fellow of the IEEE, Fellow of the IET, and an IEEE Distinguished Lecturer, as well as a member of the Austrian Academy of Sciences.
Here are some of his major awards:
- 2012 Eric Sumner Award of the IEEE (Technical Field Award of IEEE)
- 2012 IEEE Distinguished Lecturer (IEEE Vehicular Technology Society)
- 2011 Elected Member of the Austrian Academy of Sciences
- 2011 Donald G. Fink Prize Paper Award of the IEEE
- 2010 James Evans Avant-Garde Award of IEEE Vehciular Technology Society
- 2010 Okawa Research Grant, Okawa Foundation
- 2010 Appointed honorary Guest Professor (and 111 scholar) by Beihan University, Beijing, China
- 2009 Wireless Educator of the Year by Global Wireless Education Consortium (GWEC)
- 2008 Elected Fellow of the IET (formerly IEE)
- 2007 IEEE Distinguished Lecturer
- 2007 Hatsuhon-Award of Mitsubishi Electric (for contributions to wireless standards)
- 2006 Neal Shepherd Memorial Award of the IEEE Vehicular Technology Society
- 2005 Elected Fellow of the IEEE
- 2001 INGVAR award of the Swedish Strategic Research Foundation (for work on propagation channels)
- 2000 Appointed Senior Member of the IEEE.
- 1999 Kardinal-Innitzer-Award (for the work on unequalized mobile radio systems).
- 1991 GIT Award of the Austrian Society of Electrical Engineering (for work on the Wiener-Hopf method)
For a more detailed biography please check this link.
Today we have added an interesting blog post (under the “facts” section) regarding some of the famous MIT graduates. The list contains some of the very well known individuals such is Kofi Annan, the former Secretary-General of the United Nations, Buzz Aldrin, the second person who walked on the Moon and Drew Houston the founder of Dropbox. This is an interesting article and shows a glimpse of how impactful MIT has been, enjoy.
We are very excited to announce that Professor Fawwaz Ulaby of University of Michigan in Ann Arbor has kindly provided great list of books in the following areas: Electromagnetics, Antenna, Radar, and GPS. Here is a short biography of Professor Ulaby:
Professor Fawwaz T. Ulaby is the Emmett Leith Distinguished University Professor of Electrical Engineering and Computer Science at the University of Michigan, where he had also served as Vice President for Research from 1999 to 2005. He is a member of the National Academy of Engineering, Fellow of IEEE and AAAS, and serves on several scientific boards and commissions.
Since joining the University of Michigan faculty in 1984, Professor Ulaby has directed numerous interdisciplinary, NASA-funded projects aimed at the development of high-resolution satellite radar sensors for mapping Earth’s terrestrial environment. He also served as the founding Director of a NASA-funded Center for Space Terahertz Technology, whose research was aimed at the development of microelectronic devices and circuits that operate at vawelengths intermediate between the infrared and the microwave regions of the electromagnetic spectrum. Over his academic career, he has supervised 115 highly motivated and talented graduate students. His publication list includes 16 books and over 700 journal articles and book chapters. Several of his textbooks have been translated into Chinese, Korean, Portuguese, and other languages.
Here are some of his major awards:
- Elected President of IEEE Geoscience and Remote Sensing Society for 1979-1981.
- Elected Fellow of the Institute of Electrical and Electronics Engineers for “Contribution to the application of radar to remote sensing for agriculture and hydrology,” 1979.
- Received the IEEE Centennial Medal, 1984.
- Elected Honorary Life Member, IEEE Geoscience and Remote Sensing Society, 1991.
- Elected to the National Academy of Engineering, 1995.
- Received the IEEE Millennium Medal for Outstanding Achievements and Contributions, 2000.
- Received the 2001 IEEE Electromagnetics Award.
- Received the IEEE Thomas Edison Medal, 2006.
- Received the IEEE Geoscience and Remote Sensing Education Award, 2006.
- Elected Fellow of AAAS, 2007.
- Named IEEE Life Fellow, 2008.
- IEEE James Mulligan Education Medal, 2012.
- IEEE GRS-S Special Recognition, IGARSS 2012, Munich, Germany.
For a more detailed list of his awards please check this link.
Today we are very excited to announce that we have received list of books from a top expert in the field of electronics. Professor Ali Niknejad is an Electrical Engineering and Computer Sciences Professor from the University of California, Berkeley. Here is a short biography of Professor Niknejad:
Ali M. Niknejad was born in Tehran, Iran and moved to the San Diego, CA at the age of 12. He received the B.S.E.E. degree from the University of California, Los Angeles, in 1994, and his Master’s and Ph.D. degrees in electrical engineering from the University of California, Berkeley, in 1997 and 2000. He is currently a professor in the EECS department at UC Berkeley and faculty director of the Berkeley Wireless Research Center (BWRC). Prof. Niknejad is the recipient of the 2012 ASEE Frederick Emmons Terman Award for his textbook on electromagnetics and RF integrated circuits. He is also the co-recipient of the 2013 Jack Kilby Award for Outstanding Student Paper for his work on an efficient Quadrature Digital Spatial Modulator at 60 GHz and the 2010 Jack Kilby Award for Outstanding Student Paper for his work on a 90 GHz pulser with 30 GHz of bandwidth for medical imaging, and the co-recipient of the Outstanding Technology Directions Paper at ISSCC 2004 for co-developing a modeling approach for devices up to 65 GHz. He is a co-founder of HMicro and inventor of the REACH(™) technology, which has the potential to deliver robust wireless solutions to the healthcare industry. His research interests lie within the area of wireless and broadband communications and biomedical imaging. His focus areas of his research include analog, RF, mixed-signal, mm-wave circuits, device physics and compact modeling, and numerical techniques in electromagnetics. Professor Niknejad is an IEEE Fellow.
Today we are supper excited to provide you a list of books from a world-renown expert in error control coding. He is the inventor of Turbo codes. We contacted Professor Claude Berrou of Telecom-Bretagne in France and he kindly sent us a list of some fantastic books in error control coding. Here is a short biography of Professor Berrou:
Claude Berrou is a French Professor of Electrical Engineering at Telecom-Bretagne and is the inventor of Turbo Codes. Turbo Codes are a class of high-performance forward error correction (FEC) codes developed around 1990–91 (but first published in 1993), which were the first practical codes to closely approach the channel capacity, a theoretical maximum for the code rate at which reliable communication is still possible given a specific noise level. Turbo codes are used in 3G/4G mobile communications (e.g., in UMTS and LTE) and in (deep space) satellite communications as well as other applications where designers seek to achieve reliable information transfer over bandwidth- or latency-constrained communication links in the presence of data-corrupting noise.
Professor Berrou’s current research topics, besides algorithm/silicon interaction, are electronics and digital communications at large, error correction codes, turbo codes and iterative processing, soft-in/soft-out (probabilistic) decoders and computational neurosciences (since 2008).
Here are some of his major awards:
- The SEE Ampère Medal (1997).
- The Golden Jubilee Award for Technological Innovation of IEEE Information Theory Society (1998), together with Alain Glavieux and Punya Thitimajshima.
- The IEEE Richard W. Hamming Medal (2003), together with Alain Glavieux.
- The French Grand Prix France Télécom of Académie des sciences (2005).
- The Marconi Prize (2005).
- Nominated for the European Inventor of the Year Award (2006).
- Elected a member of the French Academy of Sciences in 2007.
- IEEE Fellow in 2008.
Today we are very excited to publish a list of some great books from a wonderful and accomplished scientist. We contacted Professor Martin E. Hellman of Stanford University and he kindly provided a list of books. Here is a short biography of Professor Hellman:
Martin E. Hellman is a Professor Emeritus of Electrical Engineering at Stanford University. He is a world-renowned expert in cryptography. Hellman and Whitfield Diffie’s paper New Directions in Cryptography was published in 1976. It introduced a radically new method of distributing cryptographic keys, which went far toward solving one of the fundamental problems of cryptography, key distribution. It has become known as Diffie–Hellman key exchange. Hellman has been a longtime contributor to the computer privacy debate. He and Diffie were the most prominent critics of the short key size of the Data Encryption Standard (DES) in 1975. Hellman also served (1994–96) on the National Research Council’s Committee to Study National Cryptographic Policy, whose main recommendations have since been implemented. Here are some of his major awards:
- 1981: IEEE Donald G. Fink Prize Paper Award (together with Whitfield Diffie)
- 1997: he was awarded The Franklin Institute’s Louis E. Levy Medal
- 1998: Hellman was a Golden Jubilee Award for Technological Innovation from the IEEE Information Theory Society
- 2000: he won the Marconi Prize for his invention of public-key cryptography to protect privacy on the Internet, also together with Whit Diffie
- 2010: he wone the IEEE Richard W. Hamming Medal
- 2011: he was inducted into the National Inventors Hall of Fame.
- 2011: he was made a Fellow of the Computer History Museum for his work, with Whitfield Diffie and Ralph Merkle, on public key cryptography
- 2015: he won the Turing Award together with Whitfield Diffie.
Today we are happy to announce that we have added a new section in the website calledFacts. Under this new section we are going to add interesting facts and news about new books, top experts, top schools and many more. In our first post under this section for have a short study on the ranking of the universities that we have on Dorado List. Based on some websites that rank universities, we have shown why we have chosen the universities such as MIT, Stanford, Oxford and others on Dorado list. We hope that you find this section interesting and useful.
As always we love to hear your comments and feedback and if you have any suggestion on what to add to the website, please let us know by sending us an email.
We have just added list of many books under theUniversity of Cambridge. Here are the categories of the books that we have added under Cambridge:
- Power Electronics
- Computer Science
- Computer Vision
- Natural Language Processing (NLP)
We hope you find the list of books useful. As always we love to hear your comments and feedback.
When we received an answer from a legend in Information Theory, we congratulated ourselves. Professor Shlomo Shamai (Shitz) kindly responded to our request and provided us with a great list of books in Information Theory and Communications. Here is a short biography if this fantastic Information Theorist:
Distinguished Professor, William Fondiller Professor of Telecommunications, Department of Electrical Engineering, Technion-Israel Institute of Technology. Ph.D. - Technion—Israel Institute of Technology
Professor Shlomo Shamai (Shitz) is a distinguished professor at the Department of Electrical engineering at the Technion − Israel Institute of Technology. Professor Shamai is an information theorist and winner of the 2011 Shannon Award. He received the B.Sc., M.Sc., and Ph.D. degrees in electrical engineering from the Technion, in 1975, 1981 and 1986 respectively. He is an IEEE Fellow and a member of the International Union of Radio Science.
Here are some of his major awards:
- 1999 van der Pol Gold Medal of URSI
- 2000 co-recipient of the IEEE Donald G. Fink Prize Paper Award
- 2003 Joint IT/COM Societies Paper Award
- 2004 Joint IT/COM Societies Paper Award
- 2007 Information Theory Society Paper Award
- 2009 The European Commission FP7, Network of Excellence in Wireless COMmunications (NEWCOM++) Best Paper Award
- 2010 Thomson Reuters Award for International Excellence in Scientific Research
- 2011 Claude E. Shannon Award from the IEEE Information Theory Society
- 2014 Rothschild Prize in Mathematics/Computer Sciences and Engineering
- 2017 IEEE Richard W. Hamming Medal
Today we are supper excited to announce that we have received list of suggested books from a world-rekowned expert in communication. Dr. Nambi Seshadri, former CTO of Mobile & Wireless group at Broadcom, kindly sent us the list of books that he thinks are useful for us as students and engineers. Here is a short Biograghy of Dr. Seshadri:
Nambi Seshadri is currently Professor of Electrical and Computer Engineering at University of California, San Diego (UCSD). He also serves as a senior technical advisor to Quantenna Communications and a few start ups.
Prior to joining UCSD, he was with Broadcom corporation which he joined in 1999. He was the first employee dedicated to developing the company’s wireless strategy which initially began with wireless connectivity products and subsequently entered the cellular baseband market. As CTO of the Mobile Platforms and Wireless Connectivity business groups, he helped drive Broadcom’s entry into 2G and 3G cellular, mobile multimedia, low power Wi-Fi for handsets, combo chips that integrate multiple wireless connectivity technologies, GPS, 4G technologies, as well as development of a strong IPR portfolio.
Prior to joining Broadcom, he served more than 13 years with AT&T, first as a member of the technical staff in the Signal Processing Research Department of AT&T Bell Laboratories and later as Head of Communications Research at AT&T Shannon Labs. His research has been focused on developing techniques for reliable transmission of data, speech, and audio for mobile communications.
During the first few years at Bell Labs, his research collaborations resulted in novel techniques for understanding the impact of channel errors on low bit rate speech coders resulting in combined speech and channel coding and decoding solutions. In the 1990s, he co-invented space-time trellis codes with Vahid Tarokh and Robert Calderbank and their paper on this topic won the 1999 IEEE Information Theory Society Best Paper Award.
Another paper on the implementation of a modem based on space-time coding (co-authored with Tarokh, Calderbank and Ayman Naguib) was selected by IEEE Communications Society in 2002 as one of the 50 most influential works published by IEEE Communications Society in its first 50 years - The Best of Best: 50 Years of Communications and Networking Research.
These and additional works on space-time codes from AT&T and other institutions resulted in the rapid establishment of space-time codes as an important area of wireless communications.
He also helped drive adoption of hybrid ARQ in EDGE cellular transmission as a technique for robust link adaptation.
Nambi received a B.E. degree in Electronics and Communications from Regional Engineering College (now called NITT), Tiruchirapalli, India, and a M.S. and Ph.D. from Rensselaer Polytechnic Institute, Troy, NY. He is a Member of National Academy of Engineering, a Fellow of IEEE, Distinguished alumnus of National Institute of Technology, Tiruchirapalli, India and holds more than 75 patents.
Today we are happy to announce that we have added new books that are being or have been used at Oxford. The books are in the following categories:
- Signals and Systems
- Artificial Intelligence
- Computer Architecture
- Computer Graphics
We hope you find the new list useful. As always we love to hear from you. Please send us your comments and suggestions, and name of top experts whom you think we should ask for book list suggestions.
Today we are super excited to announce that we have received list of books from one of the great American scientist icons. When you see the list of his accomplishments, you would agree that he is a true legend. Professor Carver Mead has been very kind to us and encouraged us to continue working on Dorado List and he thinks this is a useful service to the scientific community. Here is a short biography of this wonderful pioneer:
A pioneer of modern microelectronics, Carver Mead has made contributions to the development and design of semiconductors, digital chips, and silicon compilers, technologies which form the foundations of modern very-large-scale integration chip design. In the 1980s, he focused on electronic modeling of human neurology and biology, creating “neuromorphic electronic systems.” Mead has been involved in the founding of more than 20 companies. In 1960, he was the first person to describe and demonstrate a three-terminal solid-state device based on the operating principles of electron tunneling and hot-electron transport. In 1966, Mead designed the first gallium arsenide gate field-effect transistor using a Schottky barrier diode to isolate the gate from the channel. Mead is credited by Gordon Moore with coining the term Moore’s law. In 1968, Mead demonstrated, contrary to common assumptions, that as transistors decreased in size, they would not become more fragile or hotter or more expensive or slower. Rather, he argued that transistors would get faster, better, cooler and cheaper as they were miniaturized. Mead was the first to predict the possibility of storing millions of transistors on a chip. Mead was one of the first researchers to investigate techniques for very-large-scale integration, designing and creating high-complexity microchips. He taught the world’s first VLSI design course, at Caltech in 1970. He co-authored the landmark text “Introduction to VLSI systems”, published in 1979. This was A pioneering textbook, it has been used in VLSI integrated circuit education all over the world for decades. Mead and his Ph.D. student David L. Johannsen created the first silicon compiler, capable of taking a user’s specifications and automatically generating an integrated circuit. Next, he worked with Professor John Hopfield and Nobelist Richard Feynman, helping to create three new fields: Neural Networks, Neuromorphic Engineering, and the Physics of Computation. As the space is limited we leave interested readers to read more about this amazing scientist on his wikipedia page. Here is a list of some of his major awards:
- 2015, Fellow, National Academy of Inventors (NAI) for his “unparalleled commitment to excellence in academic invention."
- 2011, BBVA Foundation Frontiers of Knowledge Award of Information and Communication Technologies “… for his influential thinking in silicon technology. His work has enabled the development of the microchips that drive the electronic devices (laptops, tablets, smartphones, DVD players) ubiquitous in our daily lives."
- 2005, Progress Medal of the Royal Photographic Society
- 2002, National Medal of Technology
- 2002, Fellow of the Computer History Museum “for his contributions in pioneering the automation, methodology and teaching of integrated circuit design”.
- 2001, Dickson Prize in Science
- 1999, Lemelson-MIT Prize
- 1997, Allen Newell Award, Association for Computing Machinery
- 1996, John Von Neumann Medal, Institute of Electrical and Electronics Engineers
- 1996, Phil Kaufman Award for his impact on electronic design industry
- 1992, Award for Outstanding Research, International Neural Network Society
- 1985, John Price Wetherill Medal from The Franklin Institute, with Lynn Conway
- 1985, Harry H. Goode Memorial Award, American Federation of Information Processing Societies
- 1984, Harold Pender Award, with Lynn Conway
- 1981, Award for Achievement from Electronics Magazine, with Lynn Conway
- 1971, T.D. Callinan Award, In recognition of an outstanding contribution to the literature of dielectrics.”
We are sue you will find his list very interesting, useful and exciting. Please don’t hesitate to contact us and introduce other great scientists and we try to contact them and ask for great list of books.
Today we are happy to announce that we have added more list of books to the list of books that are being or have been used at USC. We have added books in the following categories:
- Computer Security
- Artificial Intelligence
We hope you find the list of books that are being used or have been used at USC helpful. As usual we love to hear your comments and suggestions, please kindly send us an email and we try to get back to you as soon as possible.
Today we are very excited to announce that we have added one more university to the list of top universities and that is the University of Cambridge, which is one of the top universities in the UK and in the world. For now we have added books that are being used or have been used at Cambridge in the following categories:
- Discrete Math
- Computer Graphics
- Operating Systems
We hope you find the list of books that are being used or have been used at the University of Cambridge useful.
Today we are happy to report that we have added new list of electrical engineering books under UCLA link. The new categories that we have added are:
There you will see list of books that are being used as a reference in these categories at UCLA.
Today we are extremely happy to be able to post the list suggested by a world-renowned expert in Analog Electronics. Professor Boris Murmann of Stanford university kindly accepted to send us his list of favorite books. Here is a short biography of this wonderful expert:
Boris Murmann is a Professor of Electrical Engineering at Stanford University. He joined Stanford in 2004 after completing his Ph.D. degree in electrical engineering at the University of California, Berkeley in 2003. From 1994 to 1997, he was with Neutron Microelectronics, Germany, where he developed low-power and smart-power ASICs in automotive CMOS technology. Since 2004, he has worked as a consultant with numerous Silicon Valley companies. Dr. Murmann’s research interests are in mixed-signal integrated circuit design, with special emphasis on sensor interfaces, data converters and custom circuits for statistical inference. In 2008, he was a co-recipient of the Best Student Paper Award at the VLSI Circuits Symposium and a recipient of the Best Invited Paper Award at the IEEE Custom Integrated Circuits Conference (CICC). He received the Agilent Early Career Professor Award in 2009 and the Friedrich Wilhelm Bessel Research Award in 2012. He has served as an Associate Editor of the IEEE Journal of Solid-State Circuits, as well as the Data Converter Subcommittee Chair and the Technical Program Chair of the IEEE International Solid-State Circuits Conference (ISSCC). He is the founding Faculty Co-Director of the Stanford SystemX Alliance and the faculty director of Stanford’s System Prototyping Facility (SPF). He is a Fellow of the IEEE.
Today we have added a lot of books under Princeton University.
As usual we will become better if you help us to spread the words about Dorado List. Please share our links on social media and let your friends to know about us, we really appreciate it. Also we love to hear from you. If you have suggestions and comments please send us an email, we read all the emails we receive and we try hard to respond to all the emails.
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Today we are extremely happy and honored to show you the list of books suggested by one of the Signal Processing icons, someone whom many of us have known for many years and have read his books both in undergrad and graduate years. Professor Alan V. Oppenheim of MIT is not only a great scholar and a fantastic teacher, but also has been extremely kind to us by his encouragements as well as his very intelligent suggestions. We are very thankful for his kindness and help. Please see his suggestions under Signal Processing and Math. Here is a short biography of him:
Professor Alan V. Oppenheim is a principal investigator in the Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT). He received the S.B. and S.M. degrees in 1961 and the Sc.D. degree in 1964, all in electrical engineering, from the Massachusetts Institute of Technology. He is also the recipient of an honorary doctorate from Tel Aviv University.
In 1964, Professor Oppenheim joined the faculty at MIT, where he is currently Ford Professor of Engineering in the Department of Electrical Engineering and Computer Science. Since 1967 he has been affiliated with MIT Lincoln Laboratory and since 1977 with the Woods Hole Oceanographic Institution. His research interests are in the general area of signal processing and its applications. He is coauthor of the widely used textbooks Digital Signal Processing, Discrete-Time Signal Processing which is in it’s third edition and Signals and Systems which is in it’s second edition. He is also editor of several advanced books on signal processing.
Dr. Oppenheim is a member of the National Academy of Engineering, a Life Fellow of the IEEE, a member of Sigma Xi and Eta Kappa Nu. He has been a Guggenheim Fellow and a Sackler Fellow at Tel Aviv University and a MacVicar Fellow at MIT. He has received a number of awards for outstanding research and teaching, including the IEEE Education Medal, the IEEE Jack S. Kilby Signal Processing Medal, the IEEE Centennial Medal, and the IEEE Third Millennium Medal. He has received the Society Award, the Technical Achievement Award and the Senior Award of the IEEE Society on Acoustics, Speech and Signal Processing. He has also received a number of awards at MIT for excellence in teaching, including the Bose Award and the Everett Moore Baker Award.
Today we are extremely happy and honored to post the list suggested by an icon in the field of Signal Processing. When we received a response from Professor Bernard Widrow of Stanford university we all jumped up, and we knew that Dorado List is going in the right directions. We are sure many people in the EE field know or have heard of Professor Widrow. Here is a short biography of this wonderful expert:
Bernard Widrow (born December 24, 1929) is a U.S. Professor Emeritus of electrical engineering at Stanford University. He is the co-inventor of the Widrow–Hoff least mean squares filter (LMS) adaptive algorithm with his then doctoral student Ted Hoff. The LMS algorithm led to the ADALINE and MADALINE artificial neural networks and to the backpropagation technique. He made other fundamental contributions to the development of signal processing in the fields of geophysics, adaptive antennas, and adaptive filtering. Here is a list of some of his honors:
- Elected Fellow IEEE, 1976
- Elected Fellow AAAS, 1980
- IEEE Centennial Medal, 1984
- IEEE Alexander Graham Bell Medal, 1986
- IEEE Neural Networks Pioneer Medal, 1991
- Inducted into the National Academy of Engineering, 1995
- IEEE Signal Processing Society Award, 1999
- IEEE Millennium Medal, 2000
- Benjamin Franklin Medal, 2001
Note the above biography is based on this this link.
Today we are happy to announce that we have added more lists to our website. Now under all the universities there are some book categories filled with list of books. Again, this is a work in progress but we are updating and increasing the number of lists almost daily. Here is what we added today:
Under USC we added these fields:
- Operating System
We added the following fields under Oxford:
- Machine Learning
- Computer Vision
In order to improve the lists, you can help us by suggesting top experts in different fields. Please send us an email and let us know who do you think is a top expert in a field that you are familiar with. We will do some investigation to see if that person is really a top expert and then try to contact her/him to ask for a book list.
Today we added some lists to the UCLA and USC links. This is not complete by any means but as we go we add more and more stuff to the lists so check back often and see what we have added. If you want to be notified automatically send us a message with notify in the subject line.
Under UCLA these are some fields that we added today:
- Digital Logic
- Machine Learning
- Artificial Intelligence
- Monte Carlo Methods
- Computer Vision
Under USC these are some fields that we added today:
- Computer Graphics
- Computer Networks
- Information Retrieval
We hope you find the site useful and we love to hear your comments and feedback.
Today we have added list of some of the books that are being used at Harvard. The lists are not complete, but we are gathering data on a daily basis and will update the site very often. So check back soon to see what has been added.
Our other announcement is that we have received a lot of messages, comments, suggestions and encouragements from our readers. First of all we would like to say a big thanks to you all. Your messages makes us very happy and proud, and your suggestions will help us improve our website. There are a few points that we would like to make:
The layout and the user interface of the website
We know that the website layout and UI is not perfect, but for sure we will look at all the comments and feedback from our lovely readers and will improve the website layout as soon as we can.
Not very experts on the website yet
As we have just started the website, we recognize that there are not many experts and their lists on our website yet, but for sure we will increase the number of lists suggested by top experts in a regular basis. We have contacted a number of experts and are waiting for their responses. We will contact more experts soon, and this will be an ongoing effort, so check back often. If you know a top expert personally, and you can refer us to her/him, we would really appreciate it. Please send us a message, telling us the name of the expert. We will do some research to see if s/he is a top expert and if so we will contact that expert for a list of books.
No list for many fields
That is the case, even in electrical engineering we don’t have lists for all sub-fields of electrical engineering. But we are working hard to gather more lists to address this issue. We also have plans to extend the list to other categories, not only electrical engineering and computer science. We will add lists from other engineering discipline such as Mechanical engineering. Also our longer plan will includes, arts, sciences, humanity, and many more areas.
Please Spread the Word About Dorado List
The more user and reader we have, the better we get. So please help us by spreading the word about us, it will help us to make this website a better place :)
We finish this post with this picture, as Dorado List is filled with love towards our readers.
Today we are very happy to announce that we have received list of suggested books by one of the most famous top experts in the field of error control coding, Professor Shu Lin.
Professor Lin is currently an Adjunct Professor at University of California, Davis, California. He has published at least 800 technical papers in prestigious refereed technical journals and international conference proceedings. He is the author of the book, An Introduction to Error-Correcting Codes (Englewood Cliff, NJ: Prentice-Hall, 1970). He also co-authored (with D. J. Costello) the book, Error Control Coding: Fundamentals and Applications (Upper Saddle River, NJ: Prentice-Hall, 1st edition, 1982, 2nd edition, 2004), the book (with T. Kasami, T. Fujiwara, and M. Fossorier), Trellises and Trellis-Based Decoding Algorithms, (Boston, MA: Kluwer Academic, 1998), and the book, Channel Codes: Classical and Modern (Cambridge University Press 2009).
Dr. Lin was elected to IEEE (Institute of Electrical and Electronic Engineering) Fellow in 1980 and Life Fellow in 2000. In 1996, he was a recipient of the Alexander von Humboldt Research Prize for U.S. Senior Scientists and a recipient of the IEEE Third-Millennium Medal, 2000. In 2007, he was a recipient of The Communications Society Stephen O. Rice Prize in the Field of Communications Theory.
Today we have added the list of books suggested by a top expert in the area of Electronics. Dr. Hooman Darabi of Broadcom has kindly sent us his list of suggested books.
Dr. Darabi is a well known expert in the field of analog and RF IC design for wireless communications. He is a Fellow of IEEE and a Broadcom Fellow and has authored/co-authored a number of books. Currently he is a Senior Technical Director at Broadcom Limited and an Assistant Adjunct Professor at Electrical Engineering and Computer Science department of University of California, Los Angeles.
Today we added list of many books used by professors at the University of Toronto (UofT). The list includes books in categories such as Analog Electronics, DSP, Control theory and many more. You can click on each book image to go to Amazon and see full details of that book. We are working to add more books to the UofT list of books, so please come back often and check the list, or you can send us an email and ask us to add you to the list of people who will get notified when new books are added to our lists.
Today we added list of suggested books by two world-renowned experts, one in communications and one in electronics. Professor Behzad Razavi of UCLA and Professor Hamid Jafarkhani of UC Irvine kindly accepted our request and sent us their list. Here is a short biography for each of these experts:
Behzad Razavi is a professor and researcher of electrical and electronic engineering. Noted for his research in communications circuitry, Razavi is the director of the Communication Circuits Laboratory at the University of California Los Angeles. He is a Fellow and a distinguished lecturer for the Institute of Electrical and Electronics Engineers (IEEE). Among his awards, Razavi is a two-time recipient of the Beatrice Winner Award for Editorial Excellence at the 1994 and 2001 International Solid-State Circuits Conferences. He is the author/editor of seven books and is recognized as one of the top 10 authors in the 50-year history of ISSCC.
Hamid Jafarkhani is a Chancellor’s Professor in electrical engineering and computer science at the University of California, Irvine’s Henry Samueli School of Engineering. His research focuses on communications theory, particularly coding and wireless communications and networks. Within the wireless communications field, Jafarkhani is best known for his contributions to two seminal papers which established the field of space–time block coding, published whilst working for AT&T. The first of these, “Space–time block codes from orthogonal designs”, established the theoretical basis for space–time block codes and the second, “Space–time block coding for wireless communications: performance results”, provided numerical analysis of the performance of the first such codes. Jafarkhani received a National Science Foundation CAREER award in January 2003. He is also a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), an editor of IEEE Transactions on Wireless Communications and an associate editor of IEEE Communications Letters. Jafarkhani is the author of “Space-Time Coding: Theory and Practice”. He is one of the Top 10 Most Cited Researchers in Computer Science according to the ISI web of science.
Dorado List is live. We just released our website, we hope that you enjoy it and find it useful. If you have any questions or comments please don’t hesitate to send us an email. Over time we try to contact more top experts and ask for the list of the books they think are great reference books. We also will work to find more books that are thought in top universities and add them to our website over time.
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