Junzhe Wang received his B.Eng. degree in Computer Science and Technology at Zhejiang University, Hangzhou, China in 2022. He joined the Center of Excellence in Biomedical Research on Advanced Integrated-on-chips Neurotechnologies (CenBRAIN Neurotech) at Westlake University, Hangzhou, China as a visiting student from October 2021, and started pursuing his Ph.D. degree since August 2022.

Junzhe Wang is now working on the design of closed-loop neuromodulation systems and electrophysiological signal processing hardware. In the future, he will investigate deeply into and utilize related machine learning algorithms and chip design techniques, to bring these chips and systems into the process of treatments or rehabilitations of epilepsy or other neurodegenerative disease patients, and to simplify human-computer interactions.

[1] H. Li, J. Wang, S. Zhao, F. Tian, J. Yang and M. Sawan, "Real-time Biosignal Recording and Machine-Learning Analysis System," 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), Incheon, Korea, Republic of, 2022, pp. 427-430, doi: 10.1109/AICAS54282.2022.9869982.

[2] J. Wang, S. Zhao, C. Fang, J. Yang and M. Sawan, "Live Demonstration: Real-time Analyses of Biosignals based on a Dedicated CMOS Configurable Deep Learning Engine," 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), Hangzhou, China, 2023, pp. 1-2, doi: 10.1109/AICAS57966.2023.10168631.

[3] J. Wang, S. Zhao, J. Yang and M. Sawan, "An Event-driven Neural Signal Processor for Closed-loop Seizure Prediction," 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), Toronto, ON, Canada, 2023, pp. 1-5, doi: 10.1109/BioCAS58349.2023.10388818.