Dr. Thomas Hou

Electrical and Computer Engineering, Virginia Tech, USA

Web: https://www.cnsr.ictas.vt.edu/THou.html

Abstract

Efficient operation of wireless networks requires optimal decision-making across multiple layers. Traditionally, such problems have been addressed through model-based optimization, where mathematical formulations capture network characteristics and constraints to optimize a performance objective. While this approach is grounded in solid domain knowledge, it often faces limitations due to model inaccuracies and simplifying assumptions that may not hold in practice.

With the rapid rise of machine learning, data-driven methods have emerged as promising alternatives for network optimization. Although such an approach has achieved notable successes, it remains unclear whether they can replace traditional model-based methods. In this talk, I will examine the essence of both approaches by highlighting their respective strengths and limitations in the context of modern wireless networks. I will further discuss how sound models rooted in domain knowledge can complement and enhance learning-based approaches, motivating a unified framework that integrates both model-driven and machine learning approaches in NextG network optimization.

Biography

Thomas Hou received his Ph.D. from New York University Tandon School of Engineering in 1998. He is currently Bradley Distinguished Professor of Electrical and Computer Engineering at Virginia Tech, Blacksburg, VA, USA, which he joined in 2002. He was a Member of Research Staff at Fujitsu Laboratories of America in Sunnyvale, CA from 1997 to 2002. His current research focuses on developing real-time optimal solutions to complex science and engineering problems arising from wireless and mobile networks. He is also interested in wireless security. He authored/co-authored two textbooks and has published over 400 papers in IEEE/ACM journals and conferences. His publications have received 12 Best Paper Awards from IEEE and ACM, including the 2023 IEEE INFOCOM Test of Time Paper Award. He holds six U.S. patents. Prof. Hou was named an IEEE Fellow for contributions to modeling and optimization of wireless networks. He was/is on the editorial boards of a number of IEEE and ACM transactions and journals. He was Steering Committee Chair of IEEE INFOCOM conference and was a member of the IEEE Communications Society Board of Governors. He was also a Distinguished Lecturer of the IEEE Communications Society.