Hao Liu (刘昊)

Hao Liu is a fourth year Ph.D student advised by Prof. Suhaib A. Fahmy in the Accelerated Connected Computing Lab (ACCL) at King Abdullah University of Science and Technology (KAUST). Previously, 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.

My research focuses on enabling efficient and scalable DNN inference by leveraging the collaborative capabilities of edge and near-edge computing nodes (such as base stations). The goal is to bridge the gap between advanced deep learning models and their real-world deployment, making intelligent services practical under real-world resource and latency constraints.

1. Distributed DNN Inference (CNN, Vision Transformers, etc.)
2. Model Compression & Acceleration (Pruning, Distillation, Quantization, etc.)
3. Reconfigurable Computing Systems