Wee Peng Tay received the BS degree (with distinction) in Electrical Engineering and Mathematics, and the MS degree in Electrical Engineering from Stanford University in 2002. He received the Ph.D. degree in Electrical engineering and Computer science from the Massachusetts Institute of Technology (MIT) in 2008.
During his doctoral studies at MIT, he was with the Wireless Communication and Network Sciences Laboratory (WINS Lab) under the supervision of Professors John Tsitsiklis Moe Win. From 2008 to 2010, he was a quantitative finance researcher and strategist in Lehman Brothers and Morgan Stanley, using statistical and probabilistic techniques to model financial markets. Since March 2010, he has been with the School of Electrical and Electronic Engineering, Nanyang Technological University, where he is now an Assistant Professor. His main research interests are in distributed signal processing and algorithms, data fusion and decision making in sensor networks, information theory, machine learning and applied probability.
Dr. Tay received the President’s Award from Stanford University in 1999, and the Frederick Emmons Terman Engineering Scholastic Award in 2002.
Thesis Title : Decentralized detection in resource-limited sensor network architectures