David Tse

From Wikipedia, the free encyclopedia
David Tse
Alma materUniversity of Waterloo
MIT
AwardsClaude E. Shannon Award (2017)
IEEE Richard W. Hamming Medal (2019)
Scientific career
FieldsInformation theory

David Tse is the Thomas Kailath and Guanghan Xu Professor of Engineering at Stanford University.[1]

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]

[5][6]

Honors[]

Book[]

  • Fundamentals of Wireless Communication (2005, Cambridge University Press) (ISBN 978-0521845274)[8] – with Pramod Viswanath

References[]

  1. ^ "Tse receives Kailath and Xu Professorship". ee.stanford.edu. 1 June 2017. Retrieved 10 October 2018.
  2. ^ Jump up to: a b "Executive Profile of David Tse". Bloomberg.com. Retrieved 10 October 2018.
  3. ^ Jump up to: a b "LIDS Alum David Tse Receives 2017 Claude E. Shannon Award". LIDS. 28 June 2017. Retrieved 10 October 2018.
  4. ^ Jump up to: a b c d Boney, Ashley (15 February 2018). "The National Academy of Engineering elects three Stanford faculty". Stanford News. Retrieved 10 October 2018.
  5. ^ Chua, Grace. "Practical Lessons". LIDS Magazine. Retrieved 10 October 2018.
  6. ^ Jump up to: a b c d e "Biography". stanford.edu. Retrieved 10 October 2018.
  7. ^ "Claude E. Shannon Award". itsoc.org. Retrieved 10 October 2018.
  8. ^ "Fundamentals of Wireless Communication". cambridge.org. Retrieved 11 October 2018.

External links[]

Retrieved from ""