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Sept 23, 2020

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.



Geoffrey Hinton

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.



Dimitri Bertsekas

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.

Sept 21, 2020

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.



Rob Tibshirani

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.



Alfred Aho

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.

Sept 17, 2020

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 I. Jordan

Pehong Chen Distinguished Professor at the Department of EECS and Department of Statistics, University of California, Berkeley. Ph.D. University of California, San Diego.

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.

Sept 14, 2020

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.

August 16, 2020

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

Chancellor’s Distinguished Professor and Class of 1936 Second Chair Departments of Statistics and Electrical Engineering and Computer Sciences at UC Berkeley. Ph.D. - UC Berkeley.

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.

Awards

IMS Fellow (1999)

IEEE Fellow (2001)

ASA Fellow (2005)

AAAS Fellow (2013)

Member of NAS (2014)

Elizabeth L. Scott Award (2018)

August 8, 2020

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:



Ron Rivest

Professor of Electrical Engineering and Computer Science at MIT. Ph.D. Stanford

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.

Awards

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

August 3, 2020

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 Gallager

Professor Emeritus of Electrical Engineering and Computer Science at MIT. Sc.D. - MIT.

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)

July 24, 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 Lamport

Distinguished Scientist at Microsoft Corporation, Ph.D. Brandeis University.

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)

July 10, 2020

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.

July 6, 2020

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:



Edward 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.

Awards

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.

June 16, 2020

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 Stolfo

Professor of Computer Science, Columbia University. Ph.D. - NYU Courant Institute.

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.

June 11, 2020

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

Professor of Electrical Engineering at the University of California, Irvine. Ph.D. - USC.

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.

Awards

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

June 7, 2020

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 Poggio

Eugene McDermott Professor in MIT’s Department of Brain and Cognitive Sciences and the director of the NSF Center for Brains, Minds and Machines at MIT. Ph.D. - University of Genoa.

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)

June 3, 2020

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:



Jon Crowcroft

Marconi Professor of Communications Systems in the Computer Lab, at the University of Cambridge. Ph.D. - University College London .

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”.

May 22, 2020

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:

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.

May 20, 2020

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.

May 12, 2020

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

Gordon Y. S. Wu Professor in Engineering, Department of Computer Science, at Princeton University. Ph.D. - University of Michigan.

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.

April 4, 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

Emerita Professor of Statistics, Biostatistics and Medical Informatics, and Computer Science at University of Wisconsin-Madison. Ph.D. - Stanford.

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.

Honors

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

Selected Awards

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

Feb. 9, 2020

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:



Henning Schulzrinne

Professor in the Dept. of Computer Science; also with the Dept. of Electrical Engineering at Columbia University, and CTO of the FCC. Ph.D. - University of Massachusetts Amherst.

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.

November 17, 2019

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

The Rhodes Family Professor of Electrical and Computer Engineering, Duke University. Ph.D. - University of Waterloo.

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.

November 10, 2019

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

The Iris Einheuser Professor of Computer Science, Duke University. Ph.D. - Carnegie Mellon University.

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.

October 31, 2019

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:



Whitfield Diffie

Visiting professor, Zhejiang University, China, and member of the technical advisory boards of BlackRidge Technology, and Cryptomathic.

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).

October 27, 2019

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

Hitachi America Emeritus Professor of Engineering, Department of Electrical Engineering at Stanford University. Sc.D. - MIT

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.”

October 20, 2019

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

Hitachi America Professor of Engineering, Department of Electrical Engineering at Stanford University. Ph.D. - Stanford

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.

October 14, 2019

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:



Lixia Zhang

Jonathan B. Postel Professor of Computer Science at the University of California, Los Angeles. Ph.D. - MIT

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.

October 7, 2019

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:



Samuel H. Fuller

CTO Emeritus of Analog Devices, Inc. Ph.D. - Stanford

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!

September 14, 2019

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

Professor of Computer Science at the University of California, Berkeley and Adjunct Professor of Neurological Surgery at the University of California, San Francisco. Ph.D. - Stanford.

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.

August 26, 2019

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:



Martin 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.

August 16, 2019

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

Principal Researcher at Microsoft Research in New York City, and a Visiting Lecturer in Computer Science at Princeton University. Ph.D. - MIT

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.

July 22, 2019

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

Wireless Communications Industry Chair Professor of electrical and computer engineering at the University of California San Diego. Ph.D. - California Institute of Technology

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).

July 9, 2019

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.

July 6, 2019

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.

June 26, 2019

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

William R. Berkley Professor and Dean of the NYU Tandon School of Engineering, New York. Ph.D. - Columbia University.

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.

June 19, 2019

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:



Daphne Koller

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.

June 14, 2019

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:



Georgios 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

April 20, 2019

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:



Vincent Poor

Michael Henry Strater University Professor of Electrical Engineering, Princeton University, Princeton, New Jersey. Ph.D. - Princeton University

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.

March 3, 2019

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.

February 15, 2019

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.

October 31, 2018

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