Hui Wu received the B.Eng. degree in microelectronics science and engineering from Fudan University, Shanghai, China, in 2021. He received outstanding undergraduate scholarships from Fudan University from 2018 to 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.  

Hui Wu is interested in low-power biomedical system-on-chip design and tests for wearable and implantable healthcare systems. He is now working on neural sensing front-end architectures for neural signal recording. The purpose of his projects is to design analog and mixed-signal integrated circuits for recording the electrical activity of neurons with high quality while these recordings are indispensable for understanding and diagnosing neurological disorders like epileptic seizures, in the creation of brain-machine interfaces, and for neuroprosthetic technologies to aid paralyzed patients.

[1] J. Chen*, H. Wu*, R. Eskandari, X. Liu, S. Lin, Q. Hou, F. Tian, W. Zou, J. Yang, and M. Sawan, “A Neuron-Inspired 0.0032mm2-1.38μW/Ch Wireless Implantable Neural Interface with Direct Multiplexing Front-End and Event-Driven Spike Detection and Transmission,” Accepted in IEEE Custom Integrated Circuits Conferences (CICC), 2024.

[2] H. Wu, J. Chen, X. Liu, W. Zou, J. Yang and M. Sawan, "An Energy-Efficient Small-Area Configurable Analog Front-End Interface for Diverse Biosignals Recording," IEEE Transactions on Biomedical Circuits and Systems, 2023.

[3] H. Wu, X. Liu, J. Yang, and M. Sawan. “A Power-Efficient Source-Follower Based Tunable Pseudo-RC Low-Pass Filter for Wearable Biomedical Applications”, IEEE Biomedical Circuits and Systems Conference (BioCAS), 2022.