Brief Biography

Dr. Liu is an Associate Professor in the Department of Electrical and Computer Engineering at Texas Tech University (TTU). Before joining TTU, he held faculty and industry positions at Mississippi State University, National Yang Ming Chiao Tung University in Hsinchu, Taiwan, and Qualcomm, Inc. He received his B.S. from National Taiwan University, his M.S. from the Massachusetts Institute of Technology, and his Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin. His research interests include machine and deep learning, multi-agent (deep) reinforcement learning, wireless communications and networking, cybersecurity, and quantum information processing. His work has been recognized with the Young Investigator Award of the Air Force Research Laboratory, NSF Awards, the Young Scholar Research Award from the Ministry of Science and Technology of Taiwan, and Best Paper Awards from the IEEE Globecom Conference. He is a Senior Member of IEEE and serves as an editor for several IEEE journals, including IEEE Trans. on Wireless Communications and IEEE Wireless Communications Letters.

Recent News

• My research group has several Ph.D. research assistantship openings starting this fall, focusing on Integrated Sensing and Semantic Communication in 6G Wireless Networks, Deep Reinforcement Learning & Multi-Armed Bandits, and Quantum Machine Learning. Interested students are welcome to email me their CV along with a brief introduction of their background.

• We received an NSF award to study "AI-empowered Integrated Sensing, Communication, and Learning for Mission-Critical Reconfigurable UAV Networks", August 1st, 2026.

• Our paper, entitled "Position-Agile ISAC with Fluid Antennas: Diversity-Overhead Frontier and Effective DoF," was accepted for presentation at the IEEE Globecom, Dec. 2026.

• Our paper, entitled "Robust One-Bit Compressed Sensing Against Sign Flips via l 1 − l 2 Sparse Regularization" was accepted for presentation at the IEEE Globecom, Dec. 2026.

• Our paper entitled "Beam-Reconfigurable Fluid Antenna Systems: A Liquid-Metal Yagi-Uda Approach for Quad-Directional Azimuth Switching" was accepted to IEEE Antennas and Wireless Propagation Letters, July 30, 2026.