👋 I’m a PhD student in computer science, working with Prof. Marco Canini at SANDS Lab. My research interests lie between computer systems and machine learning, devoting to speedup deep learning training and inference via efficient communication. My recent work focuses on gradient compression and optimized GPU communication.
Paper
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(2025).
Global QSGD: Allreduce-Compatible Quantization for Distributed Learning with Theoretical Guarantees.
EuroMLSys'25.
(2024).
Immediate Communication for Distributed AI Tasks.
HotInfra'24.
(2023).
Kimad: Adaptive Gradient Compression with Bandwidth Awareness.
DistributedML'23.
Education
Ph.D. student in Computer Science
- KAUST Graduate Student Council Representative (12/1683) (2024-2025)
- TA-KAUST CS240: Computing Systems and Concurrency (2022 Fall, 2024Fall)
- TA-Saudi Ministry of Interior Program CS229: Machine Learning (2023 Spring)
- TA-UESTC Boot Camp (2022 Summer, 2023 Summer)
- TA-CS398 Graduate Seminar (2025 Spring)
Master of Science in Computer Science
- Dean’s List Award (2023)
- GPA = 3.88/4.0
Master of Science in Applied Computational Science and Engineering (Distinction)
Bachelor of Engineering in Computer Science and Technology (GPA = 89.34/100)
Internship
Research Intern
Microsoft Research Asia
Research Intern
ISTAustria
TopK gradient compression with efficient threshold selection by CUDA/C++.
Engineering Intern
Tencent Cloud
Tencent international website backend developer by GoLang.
Research Intern
The University of Western Australia
YOLO-based splash detection of Western Australia’s coastal highway by Python.
Experience
Summer Research Program - The University of Western Australia
Robotics & AI Winter School - Imperial College London Hamlyn Center
I’m into …
Linux
C++/CUDA
Python/PyTorch
Gallery of KAUST
Contact
- 966560569149
- KAUST Campus, Thuwal, Mekka Province 23955
- 4307-WS18, 4th Floor, Building 1