Related Research Articles
The Association for Computing Machinery (ACM) is a US-based international learned society for computing. It was founded in 1947 and is the world's largest scientific and educational computing society. The ACM is a non-profit professional membership group, reporting nearly 110,000 student and professional members as of 2022. Its headquarters are in New York City.
Neuromorphic computing is an approach to computing that is inspired by the structure and function of the human brain. A neuromorphic computer/chip is any device that uses physical artificial neurons to do computations. In recent times, the term neuromorphic has been used to describe analog, digital, mixed-mode analog/digital VLSI, and software systems that implement models of neural systems. The implementation of neuromorphic computing on the hardware level can be realized by oxide-based memristors, spintronic memories, threshold switches, transistors, among others. Training software-based neuromorphic systems of spiking neural networks can be achieved using error backpropagation, e.g., using Python based frameworks such as snnTorch, or using canonical learning rules from the biological learning literature, e.g., using BindsNet.
Jack Joseph Dongarra is an American computer scientist and mathematician. He is the American University Distinguished Professor of Computer Science in the Electrical Engineering and Computer Science Department at the University of Tennessee. He holds the position of a Distinguished Research Staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory, Turing Fellowship in the School of Mathematics at the University of Manchester, and is an adjunct professor and teacher in the Computer Science Department at Rice University. He served as a faculty fellow at the Texas A&M University Institute for Advanced Study (2014–2018). Dongarra is the founding director of the Innovative Computing Laboratory at the University of Tennessee. He was the recipient of the Turing Award in 2021.
Ian Tremere Foster is a New Zealand-American computer scientist. He is a distinguished fellow, senior scientist, and director of the Data Science and Learning division at Argonne National Laboratory, and a professor in the department of computer science at the University of Chicago.
David A. Bader is a Distinguished Professor and Director of the Institute for Data Science at the New Jersey Institute of Technology. Previously, he served as the Chair of the Georgia Institute of Technology School of Computational Science & Engineering, where he was also a founding professor, and the executive director of High-Performance Computing at the Georgia Tech College of Computing. In 2007, he was named the first director of the Sony Toshiba IBM Center of Competence for the Cell Processor at Georgia Tech.
Linda Jean Camp is an American computer scientist whose research concerns information security, with a focus on human-centered design, autonomy, and safety. She has also made important contributions to risk communication, internet governance, and the economics of security. She is a professor of informatics in the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington, where she directs the Center for Security and Privacy in Informatics, Computing, and Engineering.
Manuela Maria Veloso is the Head of J.P. Morgan AI Research & Herbert A. Simon University Professor Emeritus in the School of Computer Science at Carnegie Mellon University, where she was previously Head of the Machine Learning Department. She served as president of Association for the Advancement of Artificial Intelligence (AAAI) until 2014, and the co-founder and a Past President of the RoboCup Federation. She is a fellow of AAAI, Institute of Electrical and Electronics Engineers (IEEE), American Association for the Advancement of Science (AAAS), and Association for Computing Machinery (ACM). She is an international expert in artificial intelligence and robotics.
Ruzena Bajcsy is an American engineer and computer scientist who specializes in robotics. She is professor of electrical engineering and computer sciences at the University of California, Berkeley, where she is also director emerita of CITRIS.
Lydia E. Kavraki is a Greek-American computer scientist, the Noah Harding Professor of Computer Science, a professor of bioengineering, electrical and computer engineering, and mechanical engineering at Rice University. She is also the director of the Ken Kennedy Institute at Rice University. She is known for her work on robotics/AI and bioinformatics/computational biology and in particular for the probabilistic roadmap method for robot motion planning and biomolecular configuration analysis.
Katherine "Kathy" Anne Yelick, an American computer scientist, is the vice chancellor for research and the Robert S. Pepper Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She is also a faculty scientist at Lawrence Berkeley National Laboratory, where she was Associate Laboratory Director for Computing Sciences from 2010–2019.
Nancy Marie Amato is an American computer scientist noted for her research on the algorithmic foundations of motion planning, computational biology, computational geometry and parallel computing. Amato is the Abel Bliss Professor of Engineering and Head of the Department of Computer Science at the University of Illinois at Urbana-Champaign. Amato is noted for her leadership in broadening participation in computing, and is currently a member of the steering committee of CRA-WP, of which she has been a member of the board since 2000.
Albert Y. Zomaya is currently the Chair Professor of High Performance Computing & Networking and Australian Research Council Professorial Fellow in the School of Information Technologies, The University of Sydney. He is also the Director of the Centre for Distributed and High Performance Computing. He is currently the Editor in Chief of IEEE Transactions on Sustainable Computing and Springer's Scalable Computing and Communications. He was past Editor in Chief of the IEEE Transactions on Computers.
Fei-Fei Li is a China-born American computer scientist, known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. She is the Sequoia Capital professor of computer science at Stanford University and former board director at Twitter. Li is a co-director of the Stanford Institute for Human-Centered Artificial Intelligence and a co-director of the Stanford Vision and Learning Lab. She served as the director of the Stanford Artificial Intelligence Laboratory from 2013 to 2018.
Cherri M. Pancake is an ethnographer and computer scientist who works as a professor of electrical engineering and computer science and Intel Faculty Fellow at Oregon State University, and as the director of the Northwest Alliance for Computational Science & Engineering. She is known for her pioneering work on usability engineering for high performance computing. In 2018 she was elected for a two-year term as president of the Association for Computing Machinery.
William T. Freeman is the Thomas and Gerd Perkins Professor of electrical engineering and computer science at the Massachusetts Institute of Technology. He is known for contributions to computer vision.
Muyinatu "Bisi" A. Lediju Bell is a researcher and faculty member. She is the John C. Malone Associate Professor of Biomedical Engineering, Electrical and Computer Engineering, and Computer Science at Johns Hopkins University. She is also the director of the Photoacoustic and Ultrasonic Systems Engineering Laboratory.
Jiebo Luo is a Chinese-American computer scientist, the Albert Arendt Hopeman Professor of Engineering and Professor of Computer Science at the University of Rochester. He is interested in artificial intelligence, data science and computer vision.
Salman A. Avestimehr is a Dean's professor at the Electrical & Computer Engineering and Computer Science Departments of University of Southern California, where he is the inaugural director of the USC-Amazon Center for Secure and Trusted Machine Learning and the director of the Information Theory and Machine Learning (vITAL) research lab. He is also the CEO and Co-Founder of FedML. Avestimehr's contributions in research and publications are in the areas of information theory, machine learning, large-scale distributed computing, and secure/private computing and learning. In particular, he is best known for deterministic approximation approaches to network information theory and coded computing. He was a general co-chair of the 2020 International Symposium on Information Theory (ISIT), and is a Fellow of IEEE. He is also co-authors of four books titled “An Approximation Approach to Network Information Theory”, “Multihop Wireless Networks: A Unified Approach to Relaying and Interference Management”, “Coded Computing”, and “Problem Solving Strategies for Elementary-School Math.”
Xiaobo Sharon Hu is a Chinese-American computer scientist and engineer known for her work on hardware-software integration, power usage, and reliability of embedded systems design, including work on power- and temperature-aware scheduling algorithms. She has also published highly cited work on deep neural networks, the CORDIC algorithm for trigonometric calculations, and clocking of unconventional computer architectures. She is a professor in the Department of Computer Science and Engineering at the University of Notre Dame.
Mi Zhang is a computer scientist at Ohio State University, where he is an Associate Professor of Computer Science and Engineering and the director of AIoT and Machine Learning Systems Lab. He is best known for his work in Edge AI, Artificial Intelligence of Things (AIoT), machine learning systems, and mobile health.
References
- 1 2 ACM Names 71 Fellows for Computing Advances that are Driving Innovation, Association for Computing Machinery, 19 January 2022, retrieved 2022-01-19
- 1 2 "Hai "Helen" Li: Modeling the Future of Computing After the Human Brain", News, Duke Pratt School of Engineering, 21 December 2016, retrieved 2022-01-20
- 1 2 "Hai "Helen" Li", Faculty & Research, Duke Electrical & Computer Engineering, retrieved 2022-01-20
- 1 2 3 Content Creators, Duke Center for Computational Thinking, retrieved 2022-01-20
- 1 2 "Hai Helen Li", IEEE Xplore, IEEE, retrieved 2022-01-20
- ↑ "Li Elected a Fellow of the IEEE", News, Duke Pratt School of Engineering, 13 December 2018, retrieved 2022-01-20