Vincent Y Tan

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Vincent Y Tan portrait

Vincent Y Tan

Email: vtan-AT-nus.edu.sg

Home page: http://www.ece.nus.edu.sg/stfpage/vtan/

Contact Information

Assistant Professor,

Department of Electrical and Computer Engineering,

National University of Singapore


 

Research Interests

  • Detection and Estimation
  • Shannon Theory
  • Source Coding
  • Statistical Learning and Inference

Biography:

Vincent Y. F. Tan received the B.A. and M.Eng. degrees in Electrical and Information Sciences from Cambridge University. During his junior year, he was an undergraduate exchange student at the Massachusetts Institute of Technology under the Cambridge-MIT undergraduate exchange program. He received the Ph.D. degree in Electrical Engineering and Computer Science from MIT in 2011. Vincent was a postdoctoral researcher in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison. He was then a scientist at the Institute for Infocomm Research as well as an Adjunct Assistant Professor at the Electrical and Computer Engineering (ECE) department at the National University of Singapore (NUS). Since January 2014, he has been an Assistant Professor at the ECE department in NUS.

 

Vincent held summer research internships at Microsoft Research in the Machine Learning and Perception group in Cambridge, UK and in the eScience Research group in Los Angeles, CA. His current research interests include learning and inference in graphical models and information theory.

 

Vincent received the Public Service Commission Overseas Merit Scholarship and the National Science Scholarship from the Agency for Science Technology and Research (A*STAR). In 2005, he received the Charles Lamb Prize, a Cambridge University Engineering Department prize awarded annually to the candidate who demonstrates the greatest proficiency in the electrical and information sciences. In 2011, he received the MIT EECS Jin-Au Kong outstanding doctoral thesis prize and the A*STAR Philip Yeo prize for outstanding achievement in research. He is a member of the IEEE Machine Learning for Signal Processing (MLSP) technical committee.

Participation & Positions:

Outreach Subcommittee (Member, 01/01/16 until 12/31/19)