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RESEARCH PROFESSOR

Jie Yang

Research Associate Professor

2019 | Postdoctoral fellow | University of Calgary | Canada

2015 | Ph.D. | Chinese Academy of Sciences | China

2010 | B.S. | Tianjin University | China

Biography

Dr. Jie Yang received the B.S. degree in electronic science and technology from Tianjin University in 2010, and the Ph.D. degree in microelectronics from the Institute of Semiconductors, Chinese Academy of Sciences in 2015. From 2015 to 2019, he was a post-doctoral fellow with the I2Sense Lab, Department of Electrical and Computer Engineering, University of Calgary in Canada. In April 2019, he joined the Center of Excellence in Biomedical Research on Advanced Integrated-on-chips Neurotechnologies (CenBRAIN Neurotech) as an associate researcher. Dr. Yang has published over 50 papers in academic journals and conferences. He has been selected for the Hangzhou Westlake Pearl Project - Youth Talent Program, and Hangzhou Overseas High-level Talents. Dr. Yang is currently involved with major research projects such as the National Key R&D Program for Brain Science and Brain-Inspired Research under the National Science and Technology Innovation 2030, and the Zhejiang Province “Pioneering” R&D Program, among others.

Research

Dr. Yang’s research involves AI-based closed-loop neuromodulation system-on-chip, to revolutionize the diagnosis and treatment of brain diseases like autism, epilepsy, and neurodegenerative disorders through real-time signal acquisition, AI-based processing, and neuromodulation. Additionally, innovative cutting-edge, low-power brain-computer interface chips that amplify, digitize, and wirelessly transmit brain signals, laying the groundwork for AI-driven brain signal decoding and device control. His specific research directions include high-throughput low-power IC, closed-loop neural modulation SoC, and AI-assisted neural decoding. The work in neuromorphic computing employs innovative algorithms and hardware, aiming to replicate the human brain's efficiency and intelligence. The processors, based on spiking neural networks, significantly outperform traditional processors in energy efficiency and low-power performance, applicable in intelligent sensing, robotics, and biomedical scenarios.

Publications

[1] Chen Feng, Lu Cao, Di Wu, En Zhang, Ting Wang, Xiaowei Jiang, Chenhao Zhou, Jinbo Chen, Hui Wu, Siyu Lin, Qiming Hou, Chin-Teng Lin, Junming Zhu, Jie Yang, Mohamad Sawan, Yue Zhang. " Acoustic inspired brain-to-sentence decoder for logo syllabic language." BioRxiv,https://doi.org/10.1101/2023.11.05.562313.


[2] C. Fang, C. Wang, S. Zhao, F. Tian, J. Yang, M. Sawan, " A 510μW 0.738-mm2 6.2-pJ/SOP Online Learning Multi-Topology SNN Processor with Unified Computation Engine in 40-nm CMOS."IEEE Transactions on Biomedical Circuits and Systems, vol. 17, No. 3, 2023, pp.507-520.


[3] Yang, Jie, and Sawan, Mohamad. "From Seizure Detection to Smart and Fully Embedded Seizure Prediction Engine: A Review."IEEE Transactions on Biomedical Circuits and Systems, vol. 14, no. 5, Oct. 2020, pp. 1008-1023.

职称 RESEARCH PROFESSOR 邮箱 yangjie@westlake.edu.cn
网址 https://scholar.google.com/citations?user=6T786i8AAAAJ&hl=zh-CN 个人网址 https://yangjie.ac.cn/
工作经历 工作经历1 2019 | Postdoctoral fellow | University of Calgary | Canada
工作经历2 2015 | Ph.D. | Chinese Academy of Sciences | China 工作经历3 2010 | B.S. | Tianjin University | China
工作经历4 工作经历5
职务 Research Associate Professor
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