2011/2017年分别获得南京理工大学机械工程本科/博士学位。攻读博士学位期间，自2012至2015年在新加坡国立大学电气与计算机工程系超大规模集成电路实验室进行交流学习。

2017年起在清华大学电子工程系电路与系统研究所进行博士后研究。2019年加入上海交通大学集成电路学院。

1. 高性能MEMS惯性传感芯片

2. 智能视觉/触觉感知芯片

3. 生物医疗电路与系统

1. 国家重点研发计划 青年科学家项目

2. 国家自然科学基金 面上项目

3. 国家自然科学基金 青年项目

4. 长三角科技创新共同体联合攻关重点任务-课题

1. Zhang Hanbo, Ma Zhouchen, Lou Yuqing, Bo Yang, Wu Hao, Qi Liang, Li Yongfu, Guo Xiaojun, Wang Guoxing, Zhao Jian, "An LTPS-TFT-Based Large-Area PPG Readout Circuits with Improved Linearity and Robustness for Flexible Healthcare Ring", IEEE Journal of Solid-State Circuits, pp. 1-10, 2025.

2. Ma Zhouchen , Lin Yuxiang , Chen Cheng , Qi Xiang'ao , Li Yongfu , Tang Kea-Tiong , Fa Wang , Tianhong Zhang , Guoxing Wang and Zhao Jian , “A 2.2-ps Time-of-Flight Resolution Frequency-Domain fNIRS Readout IC with a Dynamic Architecture and Cross-Coupling-Free Intensity and Phase-to-Digital Converter”, IEEE Journal of Solid-State Circuits, pp. 1-10, 2025.

3. Qi Xiang-Ao , Li Xiangting , Lou Yuqing , Li Yongfu , Wang Guoxing , Tang Kea-Tiong and Zhao Jian , “A 0.67-to-5.4 TSOPs/W Spiking Neural Network Accelerator With 128/256 Reconfigurable Neurons and Asynchronous Fully Connected Synapses”, IEEE Journal of Solid-State Circuits, pp. 1-12, 2024.

4. Zhang Hanbo , Lou Yuqing , Li Yongfu , Guo Xiaojun , Wang Guoxing and Zhao Jian , “A TFT-Based Flexible PPG Acquisition Circuit in a 3-micro-m LTPS Process for Packaging-Free Smart Ring Applications”, IEEE Asian Solid-State Circuits Conference (A-SSCC), pp. 1-4, 2024. (Highlighted Paper)

5. Ma Zhouchen , Lin Yuxiang , Chen Cheng , Qi Xiangao , Li Yongfu , Tang Kea-Tiong , Wang Fa , Zhang Tianhong , Wang Guoxing and Zhao Jian , “A 2.7ps-ToF-Resolution and 12.5mW Frequency-domain NIRS Readout IC with Dynamic Light Sensing Frontend and Cross-Coupling-Free Inter-Stabilized Data Converter”, Internationl Solid-State Circuits Conference (ISSCC), pp. 1-3, 2024.

6. Zhang Hanbo , Lou Yuqing , Zhang Zhihang , Li Yongfu , Rokhani Fakhrul Zaman , Wang Guoxing and Zhao Jian , “A Fully LTPS-TFT-Based Bidirectional Biomedical Interface Circuit for Large-Area Healthcare Applications”, IEEE Journal on Flexible Electronics, pp. 526-532, 2024.
   

7. Lou Yuqing , Zhang Hanbo , Li Jun , Lin Chen , Shao Leilai , Guo Xiaojun , Li Yongfu , Wang Guoxing , Fakhrul Rokhani and Zhao Jian , “A 10.23-bit ENOB 1 kS/s Differential VCO-based ADC with Resistive Input Stage in Low-Temperature Poly-Silicon TFT Technology”, IEEE Transactions on Circuits and Systems II: Express Briefs, pp. 1-5, 2024.

8. Ma Zhouchen , Chen Cheng , Lin Yuxiang , Qi Liang , Li Yongfu , Bi Xia , Sawan Mohamad , Wang Guoxing and Zhao Jian , “An Energy-Efficient FD-fNIRS Readout Circuit Employing a Mixer-First Analog Frontend and a Sigma-Delta Phase-to-Digital Converter”, IEEE Transactions on Biomedical Circuits and Systems, pp. 1-10, 2024.

9. Tao He , Jing Luo , Zhen Kong , Xu Liang , Longyang Lin , Bo Zhao , Liang Qi , Yongfu Li , Guoxing Wang and Jian Zhao , “A Re-configurable Body Channel Transceiver towards Wearable and Flexible Biomedical Sensor Networks”, IEEE Transactions on Biomedical Circuits and Systems, pp. 1-10, 2023.

10. Xiang'ao Qi , Jian Zhao , Yuqing Lou , Guoxing Wang , Kea-Tiong Tang and Yongfu Li , “A 5.3-pJ/Spike CMOS Neural Array Employing Time-modulated Axon-sharing and Background Mismatch Calibration Techniques”, IEEE Transactions on Biomedical Circuits and Systems, pp. 1-10, 2023.

11. Qi Xiangao , Lou Yuqing , Li Yongfu , Wang Guoxing , Tang Kea-Tiong and Zhao Jian , “A 5.37-TSOPS/W Reconfigurable Neuron Array with Dual-mode Neurons and Asynchronous Synapses for Energy-Efficient Inference and Biological Neural Network Simulation”, 2023 IEEE Asian Solid-State Circuits Conference (A-SSCC), 2023. (Highlighted Paper)

12. Cheng Chen , Zhouchen Ma , Yuxiang Lin and Jian Zhao , “A Sub-0.01 deg Phase Resolution 6.8-mW fNIRS Readout Circuit Employing a Mixer-First Frequency-Domain Architecture”, IEEE European Conference on Solid State Circuits (ESSCIRC), pp. 1-4, 2022.

13. Chen Cheng , Ma Zhouchen , Liu Zhenhong , Zhou Linfeng , Wang Guoxing , Li Yongfu and Zhao Jian , “An Energy-Efficient Wearable Functional Near-infrared Spectroscopy System Employing Dual-level Adaptive Sampling Technique”, IEEE Transactions on Biomedical Circuits and Systems, pp. 1-10, 2022.
    

本科生专业基础课:

EE105 《电子电路基础》

MST4305 《模拟集成电路课程设计》

EE503-15《工科创II：混合信号集成电路设计创新实践》

SDG1103《新兴半导体器件及可持续创新》

研究生专业课程：

EST8719《高性能模数转换器设计》

1. IEEE Distinguished Lecturer 2025-2026

2. BioCAS二十周年青年贡献奖