Hao Liu (刘昊)
Ph.D student
Building 1
KAUST, Thuwal, 23955-6900
Bio
Hao Liu [Google Scholar] [github][dblp] is a fourth year Ph.D student adviced by Prof. Suhaib A.
Fahmy in the Accelerated Connected Computing Lab (ACCL) at King Abdullah University of Science and Technology (KAUST). He mainly works on optimizing DNN inference in the edge and near-edge scenarios. He also works on split computing, reconfigurable computing systems, and has explored machine learning model compression and physically unclonable functions. He received his Bachelor's degree in Electronic and Information Engineering and Master's degree in Cyber Science and Technology from Beihang University (BUAA), Beijing, China in 2019 and 2021, respectively.
Research Interests
My research interests include but not limited to:
- DNN Collaborative Inference (CNN, Vision Transformers, etc.)
- Edge and Near-Edge Inference
- Reconfigurable Computing Systems
Publications
IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom'21)
Journal of Communications and Information Networks, 2019
Education
Ph.D. Student in Computer Science
January 2022 - Present | Thuwal, Saudi Arabia
M.S. in Cyber Science and Technology
September 2019 - January 2021 | Beijing, China
B.E. in Electronic and Information Engineering
Beihang University
July 2015 - September 2019 | Beijing, China
Internship
Research Intern
Tsinghua University
June 2023 - September 2023 | Beijing, China
Topic: Work on Network Architecture Search (NAS).
Supervised by Prof.
Yu Wang
Teaching Experience
Teaching Assistant for ECE 265P: AI Training
Saudi Ministry of Interior Program
April 2025 | Riyadh, Saudi Arabia
Teaching Assistant for KAUST CS256: Digital Design and Computer Architecture
KAUST
September 2022 | Jeddah, Saudi Arabia
Teaching Assistant for Digital Circuits and Systems Course
Beihang University
September 2020 | Beijing, China