Baiyang Liu
Shenzhen Technology University, China
Baiyang Liu (Senior Member, IEEE) received the B.Sc. degree in wireless communication from the Guangdong University of Technology, Guangzhou, China, and the Ph.D. degree in communication and information systems from the South China University of Technology, Guangzhou, in 2018. He is currently an Assistant Professor with the School of Artificial Intelligence, Shenzhen Technology University, where he also serves as Deputy Director of the Artificial Intelligence Internet of Things Lab. He has held Research Fellow positions with Hong Kong Metropolitan University, Hong Kong, City University of Hong Kong, Hong Kong, Queen Mary University of London, London, U.K., Southern University of Science and Technology, Shenzhen, China, and Shenzhen University, Shenzhen. His current research interests include fluid antenna systems, reconfigurable intelligent surfaces, orbital angular momentum multiplexing, integrated sensing and communication. He was a Guest Editor for IEEE Antennas and Wireless Propagation Letters from 2023 to 2024. He was awarded the Best Paper Award at the Global Symposium on Millimeter-Waves and Terahertz 2024, held in Hong Kong, and the Best Reviewer Award 2024 from both IEEE Transactions on Antennas and Propagation, IEEE Antennas and Wireless Propagation Letters.
Multipath propagation and fading are inevitable in wireless environments and are traditionally viewed as obstacles to reliable communication and sensing. Inspired by fluid antenna theory, this talk explores how programmable metamaterial apertures turn these effects into exploitable spatial degrees of freedom. By electronically reconfiguring radiation states, these apertures harness channel diversity to mitigate interference, enhance communication capacity, and improve sensing performance. From electromagnetic design to experimental demonstrations of adaptive connectivity and device-free localization, we show how reconfigurable apertures transform unwanted channel fluctuations into a resource for communication and sensing.