Academic Profile

Academic Profile

Assoc Prof Tay Wee Peng

Assistant Chair (Academic), School of Electrical & Electronic Engineering


School of Electrical & Electronic Engineering
College of Engineering

Email: WPTAY@NTU.EDU.SG
Phone: (+65)6790 6280
Office: S2-B2a-23

Education
  • PhD (ElectEng & CompSc) Massachusetts Institute of Technology 2008
  • MS (ElectEng) Stanford University 2002
  • BS (Maths & ElectEng) (Dist) Stanford University 2002
Biography
Dr Tay Wee Peng received the B.S. degree in Electrical Engineering and Mathematics, and the M.S. degree in Electrical Engineering from Stanford University, Stanford, CA, USA, in 2002. He received the Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2008. He is currently an Associate Professor in the School of Electrical and Electronic Engineering at Nanyang Technological University, Singapore. His research interests include distributed inference and signal processing, sensor networks, social networks, information theory, and applied probability.

Dr. Tay received the Singapore Technologies Scholarship in 1998, the Stanford University President's Award in 1999, the Frederick Emmons Terman Engineering Scholastic Award in 2002, and the Tan Chin Tuan Exchange Fellowship in 2015. He is a coauthor of the best student paper award at the Asilomar conference on Signals, Systems, and Computers in 2012, and the IEEE Signal Processing Society Young Author Best Paper Award in 2016. He is currently an Associate Editor for the IEEE Transactions on Signal Processing, an Editor for the IEEE Transactions on Wireless Communications, serves on the MLSP TC of the IEEE Signal Processing Society, and is the chair of DSNIG in IEEE MMTC. He has also served as a technical program committee member for various international conferences.
Research Interests
- distributed signal processing and algorithms
- data fusion, decision making
- sensor network management and performance analysis
- information theory
- machine learning
- applied probability and statistics
Current Projects
  • Development of NTU/ NXP- Intelligent Transport Systems Test-Bed
  • Fake News Detection: A Graph Signal Processing and Learning Approach
  • Feasibility Study of Multi-Function Millimeter-Wave RaCoPo System
  • JANSKY 3 (Sub 9) - Multi-Target Track Before Detect on TDOA-FDOA Based Measurements
  • MOSCATO
  • Research on Integrated Analysis for Cyber-Physical Security
  • Research on Integrated Analysis for Cyber-Physical Security
  • Robust Learning in Social Networks: Fundamental Limits and Strategies
  • Sub-Project 3 - GPS Free TDOA-FDOA Geolocation and Tracking II
Selected Publications
  • Xionghu Zhong, Ramtin Rabiee, Yongsheng Yan, and Wee Peng Tay. (2017). IEEE 20th International Conference on Intelligent Transportation Systems (ITSC): A Particle Filter for Vehicle Tracking with Lane Level Accuracy Under GNSS-Denied Environments. IEEE 20th International Conference on Intelligent Transportation Systems (pp. 1-6)IEEE.
  • A. K. Rajendra, Y. Song, K. Gururaj, C. X. Wang, G. F. Cai, C. L. Law, W. P. Tay, H. P. Chow. (2017). UWB based Real-Time Cooperative Localization System. Indoor Positioning and Indoor Navigation 2017Sapporo, Japan.
  • Y. Wang and W. P. Tay and W. Hu. (2017). A Multitask Diffusion Strategy With Optimized Inter-cluster Cooperation. IEEE Journal of Selected Topics in Signal Processing, 11(3), 504 - 517.
  • Y. Wang, W. P. Tay and W. Hu. (2016). 2016 IEEE Statistical Signal Processing Workshop (SSP): Multitask diffusion LMS with optimized inter-cluster cooperation. 2016 IEEE Statistical Signal Processing Workshop (SSP) (pp. 1-5)Palma de Mallorca.
  • W. Luo, W. P. Tay, M. Leng, and M. K. Guevara. (2015). On the universality of the Jordan center for estimating the rumor source in a social network. IEEE International Conference on Digital Signal Processing.

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