Academic Profile

Academic Profile

Assoc Prof Tay Wee Peng

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

Email: wptay@ntu.edu.sg
Assoc Prof Tay Wee Peng

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 information and signal processing over networks, distributed inference and estimation, information privacy, machine learning, information theory, and applied probability. Dr. Tay received 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 was an Associate Editor for the IEEE Transactions on Signal Processing (2015 -- 2019), and is currently an Associate Editor for the IEEE Transactions on Signal and Information Processing over Networks, an Editor for the IEEE Transactions on Wireless Communications and IEEE Open Journal of Vehicular Technology. He serves on the Machine Learning for Signal Processing Technical Committee of the IEEE Signal Processing Society.
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
  • Decentralized Privacy for the Internet of Things: Theory and Algorithms
  • 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
  • Geography of Fake News: Misinformation Spreading and Implication for Capital Markets
  • JANSKY 3 (Sub 9) - Multi-Target Track Before Detect on TDOA-FDOA Based Measurements
  • MOSCATO
  • Next-Generation V2X Network Architecture and Ecosystem for Smart Mobility
  • Relative Positions Determination Using Communication Signals
  • Research on Integrated Analysis for Cyber-Physical Security
  • Research on Integrated Analysis for Cyber-Physical Security
  • Sub-Project 3 - GPS Free TDOA-FDOA Geolocation and Tracking II
Selected Publications
  • Chengcheng Wang; Wee Peng Tay; Yuan Wang; Ye Wei. (2019). A PRIVACY-PRESERVING DIFFUSION STRATEGY OVER MULTITASK NETWORKS.
  • 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.

« Back to Research Directory

​​​​​​​​