Hao Liu is a third year Ph.D candidate in the Accelerated Connected Computing Lab ACCL at KAUST. He mainly works on Near-Edge Assisted DNN Inference, which is to optimize DNN inference by offloading computation from edge to near-edge accelerators. 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, Beijing, China in 2019 and 2021, respectively.