AVITECH Seminar: TS. Nguyễn Văn Lý (University of Kansas, USA)

Interpretable Machine Learning and Intelligent Signal Processing for Next-Generation Wireless Networks

Next-generation wireless communication networks, such as 6G-and-Beyond, will demand extremely high data rates, massive connectivity, seamless coverage, ultra-reliable performance, and sensing capability. To meet these stringent demands, core technologies like massive multiple-input multiple-output (MIMO), wideband communications, reconfigurable intelligent surfaces (RIS), and integrated sensing and communications (ISAC) will need to be realized. However, efficiently utilizing these technologies within the constraints of limited resources, such as spectrum, hardware, energy, and computing, remains challenging.

In this talk, I will present interpretable and intelligent machine learning and signal processing techniques designed to meet the stringent Quality of Service (QoS) requirements while optimizing resource efficiency. Leveraging the power of machine learning in wireless communications is challenging due to the inherent randomness and rapid variations in wireless channels and communication data. The interpretability of the presented machine learning techniques plays a key role in enhancing the reliability and robustness of their application to wireless communication systems. The talk will specifically cover recent developments in interpretable and intelligent machine learning and signal processing techniques applied to emerging topics, including massive MIMO communications with low-resolution data converters, MIMO precoding/beamforming with channel coding, ISAC waveform design, and sensing-assisted RIS communication systems. Finally, I will conclude the talk with promising future research directions for next-generation wireless communication networks.

Speaker: Van Ly Nguyen, PhD, Department of EECS and I2S, University of Kansas (KU), USA

Time: 10:00 AM, Friday, January 9, 2026

Venue: Room 305, G2 Building, VNU University of Engineering and Technology

Van Ly Nguyen (Member, IEEE) received the Ph.D. degree in Computational Science from the University of California, Irvine (UCI) and San Diego State University (SDSU), CA, USA, in 2022; the M.Sc. degree in Wireless Communications Systems from CentraleSupélec, Paris-Saclay University, France in 2016; and the B.Eng. degree in Electronics and Telecommunications from Vietnam National University, Hanoi, in 2014. He worked as a postdoctoral researcher at the Department of Electrical Engineering and Computer Science (EECS), UCI from 8/2022 to 1/2025 and at the Elmore Family School of Electrical and Computer Engineering (ECE), Purdue University from 2/2025 to 8/2025. He is currently an Assistant Professor in the EECS department and the Institute of Information Sciences (I2S) at the University of Kansas (KU), USA. His research interests lie in the areas of wireless communications, signal processing, and machine learning. He received a Best Paper Award at the 2020 IEEE International Conference on Communications (ICC).