Hao Liu (刘昊)

Ph.D student
Computer Science
CEMSE Division
Building 1
KAUST, Thuwal, 23955-6900
Here is my CV

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:

Publications

Practical Modeling for Split DNN Inference on Near-Edge Accelerators
Hao Liu , Mohammed E. Fouda , Ahmed M. Eltawil , Suhaib A. Fahmy ,
Under Review
 
Split DNN Inference for Exploiting Near-Edge Accelerators
Hao Liu , Mohammed E. Fouda , Ahmed M. Eltawil , Suhaib A. Fahmy ,
IEEE International Conference on Edge Computing and Communications (IEEE EDGE'24)
 
A Filter Rank Based Pruning Method for Convolutional Neural Networks
Hao Liu , Zhenyu Guan, Peng Lei ,
IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom'21)
 
Physical unclonable functions for IoT device authentication
Zhenyu Guan, Hao Liu , Yuyao Qin,
Journal of Communications and Information Networks, 2019
 

Education

Ph.D. Student in Computer Science
KAUST (Advisor: Prof. Suhaib A. Fahmy)
January 2022 - Present  |  Thuwal, Saudi Arabia
M.S. in Cyber Science and Technology
Beihang University (Advisor: Prof. Zhenyu Guan)
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