This talk discusses research and education programs in data science at the National Science Foundation (NSF). The focus will be from an engineering perspective. We start by giving an introduction to NSF, the Engineering directorate, and the Electrical, Communications, and Cyber Systems division. We discuss our core funding efforts in data science and some existing special solicitations (Big Data, Cyber Physical Systems, and Smart and Connected Communities).
We then discuss NSF’s 10 Big Ideas with a focus on "Harnessing the Data Revolution" (HDR). The three principal components of HDR are: research across all NSF directorates, educational pathways – innovations grounded in an education – research based framework, and advance cyberinfrastructure – accelerating data intensive research. We also discuss how other Big Ideas tie into HDR including "Growing Convergence Research" and the "Future of Work – at the Human Technology Frontier."
Anthony Kuh received his B.S. in Electrical Engineering and Computer Science at the University of California, Berkeley in 1979, an M.S. in Electrical Engineering from Stanford University in 1980, and a Ph.D. in Electrical Engineering from Princeton University in 1987. Dr. Kuh previously worked at AT&T Bell Laboratories and has been on the faculty in Electrical Engineering at the University of Hawai’i since 1986. He is currently a Professor in the Department, serving as director of the interdisciplinary renewable energy and island sustainability (REIS) group, and is also serving as a program director for the National Science Foundation (NSF), since January, 2017. Previously, he served as Department Chair of Electrical Engineering. Dr. Kuh's research is in the area of neural networks and machine learning, adaptive signal processing, sensor networks, and renewable energy and smart grid applications. At NSF he is in the Electrical, Communications, and Cyber Systems (ECCS) division working in the Energy, Power, Control, and Network (EPCN) group. He is involved in two of the ten NSF Big Ideas; Harnessing the Data Revolution and the Future of Work.
Dr. Kuh won a National Science Foundation Presidential Young Investigator Award and is an IEEE Fellow. He was also a recipient of the Boeing A. D. Welliver Fellowship and received a Distinguished Fulbright Scholar’s Award working at Imperial College in London. Dr. Kuh was an Associate Editor for the IEEE Transactions on Circuits and Systems, served on the IEEE Neural Networks Administrative Committee, served on the IEEE Neural Networks for Signal Processing Committee, and was a Distinguished Lecturer for the IEEE Circuits and Systems Society. Dr. Kuh co-chaired the 1993 International Symposium on Nonlinear Theory and its Applications (NOLTA), served as the technical co-chair for the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2007, and served as general co-chair of the Asia Pacific Signal and Information Processing Association (APSIPA) Annual Summit and Conference (ASC) 2018 all held in Honolulu. He served as the IEEE Signal Processing Society Regions 1-6 Director at Large and was was a senior editor of the IEEE Journal of Selected Topics in Signal Processing. He currently serves on the Board of Governors of the Asia Pacific Signal and Information Processing Association as Vice President of Technical Activities.