Department of Electrical and Computer Engineering
Texas Tech University, Lubbock, TX 79409, USA
Texas Tech University, Lubbock, TX 79409, USA
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 positions at Mississippi State University, National (Yang Ming) Chiao Tung University in Hsinchu, Taiwan, and Qualcomm, Inc., etc. He received his B.S. degree from National Taiwan University, his M.S. degree from Massachusetts Institute of Technology, and his Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin. Dr. Liu has received several prestigious awards for his contributions to research and education, including the Young Investigator Award from the Air Force Research Laboratory in 2023, the Young Scholar Research Award from the Ministry of Science and Technology of Taiwan (2015), and Best Paper Awards from the IEEE Globecom Conference (2008, 2014). His research interests span machine and deep learning, cybersecurity, communications and signal processing, and optimal decision & control. He is a Senior Member of IEEE and serves as an editor for several IEEE journals, including IEEE Transactions 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 ISAC 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 Computing 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.