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Electronic engineer and information theorist From Wikipedia, the free encyclopedia
David Tse (Chinese: 謝雅正; pinyin: Xiè Yǎzhèng) is the Thomas Kailath and Guanghan Xu Professor of Engineering at Stanford University.[1]
David Tse | |
|---|---|
David Tse | |
| Nationality | Canadian |
| Alma mater | University of Waterloo MIT |
| Awards | Claude E. Shannon Award (2017) IEEE Richard W. Hamming Medal (2019) |
| Scientific career | |
| Fields | Information theory |
| Thesis | Variable-rate lossy compression and its effects on communication networks (1995) |
| Doctoral advisor | Robert G. Gallager John Tsitsiklis |
Tse earned a B.S. in systems design engineering from University of Waterloo in 1989, an M.S. in electrical engineering from the Massachusetts Institute of Technology in 1991, and a Ph.D. in electrical engineering from MIT in 1994.[2] As a postdoctoral student he was a staff member at AT&T Bell Laboratories.[2]
Tse's research at Stanford focuses on information theory and its applications in fields such as wireless communication, machine learning, energy and computational biology.[3][4] He has designed assembly software to handle DNA and RNA sequencing data and was an inventor of the proportional-fair scheduling algorithm for cellular wireless systems.[4] He received the 2017 Claude E. Shannon Award.[3] In 2018, he was elected to the National Academy of Engineering.[4]
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