Reporting by XinZhiyuan
Edit: Good Sleepy Peach La Yan
On January 26, 2022, local time, the American Association for the Advancement of Science (AAAS) announced the list of the latest batch of academicians, and a total of 564 scholars were elected. Among them, among the 26 scholars selected in the fields of information, computers and communications, Yann LeCun and Rui Yong, CTO of Lenovo Group, are among them.
On January 26, 2022, local time, the American Association for the Advancement of Science (AAAS) announced the latest list of academicians!
This year, a total of 564 scientists, engineers and innovators were elected to the faculties, covering various scientific disciplines such as humanities, mathematics, neurology, physics, computer science, psychology and so on, in recognition of their outstanding contributions in their fields.
In the fields of information, computing and communication, a total of 26 scholars have been inducted into the 2021 AAAS Fellowship.
Among them is Yann LeCun, winner of the 2018 Turing Award, one of the big three in deep learning, and chief scientist of Meta.
It is worth mentioning that Rui Yong, chief technology officer of Lenovo Group, is the only Chinese scholar in the field who has been elected as an academician of AAAS.
Computer field: LeCun, Lenovo Rui Yong
Yann LeCun (New York University, Meta)
Yann LeCun is director of artificial intelligence research at Meta and a professor of computer science, neuroscience, and electrical engineering at New York University.
LeCun, the great god, must not need to repeat it, so let's insert an interesting little story here:
At a 1985 symposium in Les Houches in the French Alps, LeCun met Hinton's close collaborator, Terry Sejnowski, whose work on backpropagation had not yet been published. A few months later, when Hinton met in Paris, LeCun was invited to a summer symposium at Carnegie Mellon University and spent a year as a postdoc in a new research group in Hinton, Toronto.
Twenty years later, in 2004, he partnered with Hinton to establish a project on neural computing and adaptive perception through the Canadian Institute for Advanced Study (CIFAR). Since 2014, he has co-directed the project with his co-winner Yoshua Bengio, which was later renamed "Learning in Machines & Brains".
Rui Yong (Lenovo Group)
Dr. Yong Rui is a Foreign Fellow of the European Academy of Sciences (Academia Europaea), fellow of the International Association for Computing (ACM Fellow), Fellow of the International Society of Electrical and Electronic Engineering (IEEE Fellow), Fellow of the International Society of Pattern Recognition (IAPR Fellow), Fellow of the International Society of Optical Engineering (SPIE Fellow), Fellow of the Chinese Computer Society (CCF Fellow) and Fellow of the Chinese Society for Intelligent Engineering (CAAI). Fellow)。
Dr. Rui received the 2018 ACM SIGMM Technical Achievement Award, 2017 ACM Trans. on Multimedia Computing, Communication and Applications (TOMM) Nicolas Georganas Best Paper Award, 2017 IEEE SMC Andrew P. Sage Best Paper Award, 2016 IEEE Computer Society Technical Achievement Award, 2016 IEEE Signal Processing Society Best Paper Award, 2015 IEEE Trans. On Multimedia and 2007 ACM Multimedia Best Paper Award.
He was named the 2018 Highly Cited Scientist of the Year by Clarivate Clarivate and was named one of the top three in the Computer Science Discipline of Elsevier Most Cited Chinese Researchers for three consecutive years. In addition, Dr. Rui has obtained 70 technology patents.
Dr. Yong Rui holds a B.A. from SoutheastErn University, a M.S. from Tsinghua University, a Ph.D. from the University of Illinois, and a Microsoft Leadership Training credential from the Wharton School of the University of Pennsylvania.
Eric Allen Brewer (Google)
Eric Allen Brewer is Professor Emeritus of Computer Science at the University of California, Berkeley, and Vice President of Infrastructure at Google, where his research interests include operating systems and distributed computing. He is best known for proposing the CAP theorem for distributed network applications in the late 1990s.
He received his Bachelor of Science degree in Electrical Engineering and Computer Science (EECS) from the University of California, Berkeley. He later received his MSc and Ph.D. from EECS at the Massachusetts Institute of Technology.
Claire Cardie (Cornell University)
Claire Cardie is a professor in Cornell University's Department of Computer Science and Information Science. Also a recipient of the National Science Foundation CAREER Award, he has been elected to the Executive Committee of the Association for Computational Linguistics (ACL), a member of the Executive Board of the Association for the Advancement of Artificial Intelligence (AAAI), and twice served as secretary of ACL North America (NAACL).
She was program chair at the 2006 ACL/COLING Joint Conference and served as associate editor of JAIR (Journal of Artificial Intelligence Research), action editor of JMLR (Journal of Machine Learning Research), and member of the editorial boards of the Journal of Machine Learning and Computational Linguistics.
She received her B.S. in Computer Science from Yale University and her M.S. and Ph.D. in Computer Science from the University of Massachusetts Amherst. His research interests are in natural language processing.
Susan Davidson (University of Pennsylvania)
Susan Davidson is a professor of computer and information science (CIS) at the University of Pennsylvania, a position she has held since 1982.
He received his B.A. in Mathematics from Cornell University in 1978 and his M.S. and Ph.D. in Electrical Engineering and Computer Science from Princeton University in 1980 and 1982. Research interests include databases and web-based systems, scientific data management, provenance, crowdsourcing, and data citation.
Rina Dechter (University of California, Irvine)
Rina Dechter is a professor of computer science at the University of California, Irvine, where she teaches and researches in the field of artificial intelligence.
She received her Ph.D. in Computer Science from the University of California, Los Angeles in 1985. Research focuses on automatic reasoning and the computation of knowledge representation, including search, constraint processing, and probabilistic reasoning. More recently, she has focused on the principles of unified algorithms for graphical models that express probabilistic and deterministic information.
Paul Dourish (University of California, Irvine)
Paul Dourish is director of the Center for Responsibility, Ethics and Accessibility Technology at Steckler at the University of California, Irvine. He is a fellow of ACM and the British Computer Society, and has twice received the ACM CSCW 'Enduring Impact Work' Award in 2016 and 2021. He is also an Honorary Professor of Computer and Information Systems Fellow at the University of Melbourne.
He received his Bachelor of Arts in Artificial Intelligence and Computer Science from the University of Edinburgh in 1989. He then completed a PhD in Computer Science at University College London (UCL). Research addresses the social and cultural dimensions of data and digital practices, drawing on disciplines such as human-computer interaction, scientific and technological research, media research, and communication.
Kathleen Fisher (Tufts University)
Kathleen Fisher is a professor in the Department of Computer Science at Tufts University, an ACM Fellow and a Hertz Foundation Fellow. He has served as Chair of the ACM Programming Languages Special Interest Group (SIGPLAN) and served as Program Chair for three major meetings of SIGPLAN.
She received her Ph.D. in Computer Science from Stanford University. Research focuses on advancing the theory and practice of programming languages, as well as applying ideas from the programming language community to ad hoc data management problems.
Michael Franklin (University of Chicago)
Michael Franklin serves as a senior advisor in computing and data science at the University of Chicago as an authority on databases, data analytics, data management, and distributed systems.
He received his Ph.D. in Computer Science from the University of Wisconsin in 1993, his M.S. in Software Engineering from Wong's Graduate School in 1986, and his B.S. in Computer and Information Science from the University of Massachusetts in 1983.
Juliana Freire (New York University)
Juliana Freire is a Brazilian computer scientist who is a professor of computer science and engineering at The New York University School of Technology. She has made outstanding contributions to computer aid in information visualization, data sources, and scientific reproducibility. She was named an ACM Fellow in 2014.
Simson L. Garfinkel (Department of Homeland Security)
Simson L. Garfinkel is a senior data scientist in the Office of the Chief Information Officer of the U.S. Department of Homeland Security. He is also an adjunct faculty member at the University of Washington, a visiting fellow at the National Institute of Standards and Technology (NIST), and affiliated with Georgetown University and George Mason University. He is also a science journalist, publishing hundreds of articles in newspapers and magazines and publishing 17 books. His research interests include data science ethics, digital forensics, personal information management, counterintelligence, and counterterrorism.
Mark D. Hill (Microsoft/University of Wisconsin-Madison)
Mark D. Hill retired from the University of Wisconsin-Madison in August 2020 as An honorary professor. He immediately joined Microsoft as a partner hardware architect for Azure. His research interests include computer architecture, parallel computing, memory systems, and performance evaluation.
Ayanna Howard (Ohio State University)
Ayanna Howard is an American roboticist, entrepreneur and educator who currently serves as dean of the Ohio State University School of Engineering. Howard's research interests include human-computer interaction, assistive/rehabilitative robotics, science-driven/field robotics, and perception, learning, and reasoning.
Somesh Jha (University of Wisconsin-Madison)
Jha is a Lubar Professor of Computer Science in the Department of Computer Science at the University of Wisconsin-Madison. He studies security and formal methods, especially trusted machine learning, and is a fellow ACM and IEEE Fellow.
Ramayya Krishnan (Carnegie Mellon University)
Krishnan is Dean of the Heinz School of Information Systems and Public Policy and Professor of Management Science and Information Systems. His early work led to ways in which government agencies such as the Census Bureau balance the competing need to publish data to create economic value while protecting privacy and confidentiality.
Richard Ladner (University of Washington)
Richard Ladner is the son of Paul Ladner. Professor Emeritus, G. Allen School of Computer Science and Engineering. After years of theoretical computer science research, he turned his attention to accessible technology research, especially for the deaf, deaf-blind, hearing-impaired, and blind. In addition to his research, he is actively promoting the inclusion of persons with disabilities in computing.
Robin R. Murphy (Texas A&M University)
Murphy's main research is the application of robots to natural disasters. Her team has been involved in disasters or events such as urban search and rescue, structural inspections, hurricanes, floods, mudslides, mining disasters, radioactive incidents, and wilderness search and rescue. She also discussed how robots could be used to alleviate the COVID-19 pandemic.
Elizabeth D. Mynatt (Northeastern University)
Elizabeth D. Mynatt is dean of the Khoury School of Computer Science at Northeastern University. She is best known for her research in the areas of human-computer interaction, ubiquitous computing, health informatics and assistive technologies. She pioneered the creation of non-speech-auditory interfaces from graphical interfaces that enable blind computer users to use modern computer applications.
Rafail Ostrovsky (UCLA)
Rafail Ostrovsky is a Distinguished Professor of Computer Science and Distinguished Professor of Mathematics at UCLA, and he is also an ACM Fellow and an IEEE Fellow. He is interested in various aspects of computational theory, especially cryptography, network algorithms, and the search and classification of large-scale, high-dimensional data.
David A. Padua (University of Illinois at Urbana-Urbana-Champaign)
David Padua has served as a project committee member, project chair or general chair for more than 70 conferences and seminars. He is currently an editorial board member of the ACM Journal of Communications, Parallel and Distributed Computing and the International Journal of Parallel Programming. His research focuses on languages, tools, and compilers for parallel computing.
David Parkes (Harvard University)
David C. Parkes is a Professor of Computer Science at the Paulson School of Engineering and Applied Science, And Co-Director of the Harvard Data Science Program. He is a member of the Association for the Advancement of Artificial Intelligence (AAAI) and has received the 2017 ACM/SIGAI Autonomous Agency Research Award, NSF Career Award, and other honors.
Jignesh M. Patel (University of Wisconsin)
Jignesh M. Patel is a professor in the Department of Computer Science at the University of Wisconsin. His research interests include big data, cloud computing, and hardware and software co-design. He is the founder of Locomatix and Quickstep Technologies, an ACM Fellow, and a senior member of the IEEE. ）。
Tuomas Sandholm (Carnegie Mellon University)
Tuomas Sandholm is a professor of computer science and serial entrepreneur at Angel Jordan University at Carnegie Mellon University. His research focuses on the convergence of artificial intelligence, economics and operations research. He has published more than 500 peer-reviewed papers and holds 22 U.S. patents. He is a researcher at ACM, AAAI and INFORMS.
Michael L. Scott (University of Rochester)
Professor Michael L. Scott's research focuses on the design and implementation of system software for parallel and distributed computing. His most famous work is the synchronization mechanism of multithreaded systems. Scott has received awards such as the Edsger W. Dijkstra Distributed Computing Award. He is an ACM Fellow and an IEEE Fellow.
Padhraic Smyth (University of California, Irvine)
Padhraic Smyth is a professor in the Department of Computer Science at the University of California, Irvine. His research interests include machine learning, artificial intelligence, pattern recognition, and applied statistics, and he has published more than 200 papers on these topics. He is a recipient of the ACM Fellow, AAAI Fellow and ACM SIGKDD Innovation Awards.
Tandy Warnow (University of Illinois at Urbana-Urbana-Champaign)
Tandy Warnow is a founding professor of engineering. She is now the Associate Director of Computer Science and holds affiliated faculty positions in the Departments of Bioengineering, Electrical and Computer Engineering, Mathematics, Statistics, and Several Biology Departments. She was elected a member of the ACM in 2015 and a member of the International Association for Computational Biology (ISCB) in 2017.
In addition to the field of computing, there are also many Chinese scholars selected. The most noteworthy is Professor Feng Guoping, a neuroscientist.
Feng Guoping (MIT)
Feng is a professor of neuroscience at the McGovern Brain Institute in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology and the director of model systems and neurobiology at the Stanley Center for Psychiatry at the MIT and Harvard Broad Institute.
Dr. Feng's research is dedicated to understanding the molecular mechanisms that regulate neuron-neuronal communication in the brain, and how deficiencies in neuronal communication can lead to psychiatric disorders. Dr. Feng's lab uses genetically engineered animal models, combined with cutting-edge techniques and multidisciplinary approaches, to uncover the neurobiological mechanisms of autism, obsessive-compulsive disorder, and schizophrenia.
Dr. Feng has received numerous awards for his scientific achievements, including the Beckman Young Investigator Award, the Gill Young Investigator Award, the McKnight Award for Neuroscience of Brain Disorders, the McKnight Award for Technological Innovation, and the Hartwell Award for Personal Biomedical Research.
Dr. Feng studied medicine at Zhejiang Medical University. He received his Ph.D. from the State University of New York at Buffalo and conducted postdoctoral research at the University of Washington.
Full list reference:
https://www.aaas.org/news/aaas-honors-outstanding-scientific-contributors-2021-aaas-fellows