焦點校友 孔祥重學長 訪談 9/26 (附訪談影片)
Updated: Sep 30
傑出校友 孔祥重院士 (數學系68級)
Be a Thinker and Stay Intellectual
In this spotlight interview event, Dr. HT Kung will discuss the importance of deep thinking, and share his experience of being a thinker and staying intellectual. If time permits, he will also share his thoughts and observations on the development of AI in Taiwan. You can sign up here to participate in this event via Zoom meeting. Due to space limitation in Zoom meeting, please sign up at your earliest convenience.
HT Kung is the William H. Gates Professor of Computer Science and Electrical Engineering at Harvard University. He joined Harvard in 1992 from Carnegie Mellon University where he was a Professor of Computer Science for 18 years.
HT has pursued a variety of research interests in his career, ranging from algorithms and complexity, parallel computing, computer networks, UAV networking, to signal processing and machine learning applications. His current research interests include parallel and distributed deep learning, embedded deep learning, computer architecture, network security, blockchain, IoT and applications of these technologies in manufacturing and health care areas.
In recent years he has taught a number of courses in deep learning and computer networks at Harvard. HT’s academic honors include Member of Academia Sinica (Taiwan), Member of National Academy of Engineering (US), Guggenheim Fellowship, and the ACM SIGOPS 2015 Hall of Fame Award (with John T. Robinson). In 2020 HT was elected a laureate at ITRI (Taiwan). As a volunteer, he currently serves as the President of Taiwan AI Academy, a non-profit school with campuses in three cities, which in the past two years has nurtured about 6,500 AI talents for the industry in Taiwan.
He received his B.S. degree in Mathematics from National Tsing Hua University (Hsinchu) in 1968. He also received an M.A. in Applied Mathematics, and a Ph.D. in Mathematics from The University of New Mexico and Carnegie Mellon University, respectively.
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