Jiang Su

Jiang Su is a Research Associate at the University of Cambridge, where they focus on developing a highly efficient hardware system for artificial neural network prediction and training in embedded systems. Previously, Jiang held the position of Senior Researcher at DMAI, working on computation architecture designs for hybrid Deep Neural Network workloads and DNN pruning algorithms. They also gained valuable experience as an intern at Xilinx, where they researched deep learning acceleration on FPGAs, and held several academic roles including Teaching Assistant at Imperial College London and Research Assistant at the Internet Center in UESTC. Jiang earned a PhD in Electrical and Electronic Engineering from Imperial College London and a Bachelor of Applied Science in Computer Software Engineering from the University of Electronic Science and Technology.