Hongxiang Fan

Hongxiang Fan is an Assistant Professor in Computing at the Department of Computer Science, Imperial College London. His research interests include Computer Architecture, Hardware System, Machine Learning, and Quantum Computing. He can be contacted via email at hongxiang.fan@imperial.ac.uk or through his profile page at https://profiles.imperial.ac.uk/hongxiang.fan.

Fan Hongxiang is a researcher at Imperial College London specializing in Computer Architecture and Heterogeneous Computing. His work focuses on optimizing deep neural networks (DNNs) for FPGA-based acceleration, with an emphasis on convolutional neural networks (CNNs), Bayesian neural networks, and graph neural networks (GNNs). He explores hardware-software co-design techniques to enhance performance and efficiency in real-time applications such as object detection, human action recognition, and high-energy physics. His research also extends to quantum circuit placement and memory-efficient architectures for generative networks, demonstrating a strong commitment to advancing reconfigurable computing for AI workloads.