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 |
Education
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]
Career
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]
Honors
- Early Faculty National Science Foundation CAREER Award, 1998[6]
- Frederick Emmons Terman Award from the American Society for Engineering Education, 2009[6]
- Fellow, IEEE, 2009
- Gilbreth Lectureship from the National Academy of Engineering, 2012[6]
- Stephen O. Rice Prize in the Field of Communications Theory, 2013[6]
- Claude E. Shannon Award, 2017[7]
- Member, National Academy of Engineering, inducted 2018[4]
- IEEE Richard W. Hamming Medal, 2019
Book
- Fundamentals of Wireless Communication (2005, Cambridge University Press) (ISBN 978-0521845274)[8] – with Pramod Viswanath