Hao Liu is a Ph.D. candidate in Computer Science at King Abdullah University of Science and Technology (KAUST), advised by Prof. Suhaib Fahmy, where his research focuses on efficient deep neural network inference, edge and near-edge AI acceleration, distributed computing, and optimization techniques for low-latency, energy-efficient intelligent systems.
Biography
Hao Liu is a Ph.D. candidate in Computer Science (CS) at King Abdullah University of Science and Technology (KAUST), supervised by Professor Suhaib Fahmy and working in Accelerated Connected Computing Lab (ACCL) research group. He received his Bachelor's degree in Electronic and Information Engineering and his Master's degree in Cyber Science and Technology from Beihang University (BUAA, formerly Beijing University of Aeronautics and Astronautics), Beijing, China, in 2019 and 2021, respectively.
In addition to his research activities, Hao actively contributed to teaching and academic training. He has served as a Teaching Assistant for CS256: Digital Design and Computer Architecture at KAUST, supported the ECE 265P AI Training Program for the Saudi Ministry of Interior.
Expertise and Interests
His research primarily focuses on efficient deep neural network (DNN) inference across the edge–near-edge–cloud continuum, covering CNNs, Vision Transformers, and LLMs. His research interests include model splitting, small–large model collaboration, LLM speculative decoding, model compression, and reconfigurable computing systems.
Education
- Master of Science (M.S.)
- Cyber Science and Technology, Beihang University, China, 2022
- Bachelor of Engineering (B.Eng.)
- Electrical Engineering, Beihang University, China, 2019
Related People
Advisors
Suhaib Fahmy
- Associate Professor, Computer Science