B.Eng., M.Phil. (CUHK)
Assistant Lecturer

Signal Processing, Optimization, Machine Learning

Research Areas
  • Signal Processing
  • Communications
  • Artificial Intelligence
    • Machine Learning
  • Computer Theory
    • Optimization

Links

Biography

Wai-Yiu (Oliver) Keung received the B. Eng. (Hons.) and M. Phil. Degrees, both in electronic engineering, from the Chinese University of Hong Kong in 2018 and 2020 respectively. He is an Assistant Lecturer in the Department of Computer Science and Engineering. From 2020 to 2022, he was an Assistant College Lecturer with the Division of Engineering and Technology in HKU SPACE Community College.

He has taught courses in areas spanning across computer & electrical engineering and data & computer science, such as digital circuitry, data mining, signal processing and communication, data structure and algorithm, linear algebra and multivariate calculus, probability and statistics, etc. He also offers foundation service courses in computer literacy.

Oliver is concurrently pursuing his doctorate in the Department of Electronic Engineering of the Chinese University of Hong Kong. His research mainly focuses on signal and data science, communications, optimization and machine learning, with an emphasis on quantized signal designs for hardware constrained physical layer massive MIMO transceiver.

  • - W.-Y. Keung, V. H. Cheng and W.-K. Ma, "Transmitting Data Through Reconfigurable Intelligent Surface: A Spatial Sigma-Delta Modulation Approach," arXiv preprint, arXiv: 2310.16347, 2023.
  • - W.-Y. Keung and W.-K. Ma, "Spatial Sigma-Delta Modulation for Coarsely Quantized Massive MIMO Downlink: Flexible Designs by Convex Optimization," arXiv preprint, arXiv: 2310.14179, 2023.
  • - W.-Y. Keung and U. M. Qureshi, “Binary MIMO Detection via Extreme Learning Machines,” in Proceedings of 2023 IEEE Global Communications Conference Workshops, Kuala Lumpur, Malaysia, Dec. 2023.
  • - W.-Y. Keung, H.-T. Wai and W.-K. Ma, "Secure Integrated Sensing and Communication Downlink Beamforming: A Semidefinite Relaxation Approach With Tightness Guaranteed," in Proceedings of 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, Rhodes Island, Greece, Jun. 2023.