Academic Profile

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.
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Assoc Prof Tay Wee Peng
Associate Chair (Academic), School of Electrical & Electronic Engineering
Associate Professor, School of Electrical & Electronic Engineering

- Signal and Information Processing over Networks
- Inference and Statistical Privacy for Networks
- Machine Learning
- Distributed Inference and Learning
- Detection, Estimation and Optimization
 
  • 5G-V2X Communication Trial and Use Cases Development

  • Decentralized Privacy for the Internet of Things: Theory and Algorithms

  • Design and Reinforcement Security on Smart Grids Against Cyber-Physical Attack

  • E-Commerce Knowledge Graph

  • Feasibility Study Of Multi-Function Millimeter-Wave RaCoPo System

  • Geography of Fake News: Misinformation Spreading and Implication for Capital Markets

  • Next-Generation V2X Network Architecture and Ecosystem for Smart Mobility

  • Research and Applications of 5G-V2X Communication and Computing
 
  • C. X. Wang, Y. Song, and W. P. Tay, “Arbitrarily strong utility-privacy tradeoff in multi-agent systems,” IEEE Trans. Inf. Forensics Security, vol. 16, pp. 671 – 684, 2021

  • M. Sun and W. P. Tay, “On the relationship between inference and data privacy in decentralized IoT networks,” IEEE Trans. Inf. Forensics Security, vol. 15, pp. 852 – 866, 2020

  • M. Sun and W. P. Tay, “Decentralized detection with robust information privacy protection,” IEEE Trans. Inf. Forensics Security, vol. 15, pp. 85–99, 2020

  • F. Ji and W. P. Tay, “A Hilbert space theory of generalized graph signal processing,” IEEE Trans. Signal Process., vol. 67, no. 24, pp. 6188 – 6203, Dec. 2019

  • T. S. Lau and W. P. Tay, "Quickest change detection in the presence of a nuisance change," IEEE Transactions on Signal Processing, vol. 67, no. 20, pp. 5281 – 5296, Oct. 2019

  • F. Ji, W. Tang, and W. P. Tay, "On the properties of Gromov matrices and their applications in network inference," IEEE Transactions on Signal Processing, vol. 67, no. 10, pp. 2624 – 2638, May 2019