AI for Future Wireless Communication and Networking

A graphic depiction of a wireless signal

Department of Electrical and Computer Engineering

Location: Burchard 514

Speaker: Prof. Changqing Luo, Virginia Commonwealth University


Past few years have witnessed the exploding growth of various systems and applications, such as the Internet of Things, cyber-physical systems, smart cities, and smart healthcare. Such systems and applications make our future wireless communication and networking much complex, i.e., suffering not only the curse of the dimension but also the curse of modeling. As a consequence, it is very challenging to employ conventional methods to model and optimize the wireless communication and networking. This dilemma can be exacerbated due to the natural dynamics of wireless communication environments, as traditional methods cannot catch up the dynamics promptly. Therefore, our research group investigates how to adopt AI technologies to explore data-driven methodologies to address issues in future wireless communication and networking. To be more specific, this talk focuses on how to design a learning model for spectrum availability prediction, one of the most fundamental and important research problems in future wireless communication and networking.


Changqing Luo

Dr. Changqing Luo is currently an Assistant Professor with the Department of Computer Science at Virginia Commonwealth University, USA. His research interests include optimization and AI for wireless communication and networking, wireless security, secure AI, etc. Prior to this, he received his Ph.D. degree from Case Western Reserve University, USA. He was a Lecturer in School of Computer Science and Technology at Huazhong University of Science and Technology (HUST). He was a visitor of the Department of Electrical and Computer Engineering at the University of British Columbia (UBC). He is a member of IEEE and ACM.