Chaoming Fang received his B.S. degree in Instrumentation Science and Technology from Beihang University, Beijing, China, in 2021. He worked as a research intern in the Department of Electronic Engineering at Tsinghua University, Beijing, China, in 2021. He joined the Center of Excellence in Biomedical Research on Advanced Integrated-on-chips Neurotechnologies (CenBRAIN Neurotech), School of Engineering, Westlake University, Hangzhou, China in 2021, where he is currently pursuing his Ph.D. degree.
Chaoming is interested in energy-efficient processing algorithms and machine learning accelerator VLSI design for biomedical applications. He is now working on the design for biosignals’ processor with reconfigurable on-chip learning and inference of neuromorphic computing. The purpose of his project is to achieve high adaptability to different patients and low-power consumption for real-time monitoring.
 C. Fang, Z. Shen, F. Tian, J. Yang and M. Sawan, "A Compact Online-Learning Spiking Neuromorphic Biosignal Processor ", Accepted in IEEE International Symposium on Circuits and Systems (ISCAS), May 2022
 C. Fang, H. Derbyshire, W. Sun, J. Yue, H. Shi and Y. Liu, "A Sort-Less FPGA-Based Non-Maximum Suppression Accelerator using Multi-Thread Computing and Binary Max Engine for Object Detection," 2021 IEEE Asian Solid-State Circuits Conference (A-SSCC), 2021, pp. 1-3, doi: 10.1109/A-SSCC53895.2021.9634708
 C. Fang, B. He, Y. Wang, J. Cao, and S. Gao, "EMG-Centered Multisensory Based Technologies for Pattern Recognition in Rehabilitation: State of the Art and Challenges, " Biosensors, vol. 10, no. 8, p. 85, Jul. 2020. doi: https://doi.org/10.3390/bios10080085