Dr. Feichi Zhou is now an associate professor at the Southern University of Science and Technology and the principal investigator of the Laboratory of Bioinspired In-Sensor Computing. She has been working on emerging in-sensor and near-sensor computing devices and systems, optoelectronic memory & neuromorphic vision sensors, emerging devices for the post-Moore's era, AI vision chips, and monolithic 3D integrated sensing-memory-computing chips. She has published more than 50 peer-reviewed papers in international journals, including the first or corresponding author in high-impact journals, e.g. Nature Nanotechnology (ESI highly cited), Nature Electronics (ESI highly cited), Nature Communications, Advanced Materials, Advanced Functional Materials, ACS Nano, etc. She was also the recipient of the Hong Kong Young Scientist Award, IEEE EDSSC best paper award, and the International Symposium on Memory Devices for Abundant Data Computing best paper award. She also serves as a reviewer for Nature Electronics, Nature Communications, Science Advances, Advanced Materials, Advanced Functional Materials, etc. We are looking for research assistant professors, postdoctoral fellows, research assistants, and PhD applicants. If you are interested in our group, please contact Dr. Zhou via email zhoufc@sustech.edu.cn.

Education 

Ph.D.  Applied Physics, The Hong Kong Polytechnic University

M.Sc.  Advanced Materials Science and Engineering, Imperial College London

B.Eng.  Materials Science and Engineering, University of Science Technology Beijing

Work Experience

Associate Professor, School of Microelectronics, Southern University of Science and Technology

Post-doctoral Fellow, The Hong Kong Polytechnic University 

Awards

Hong Kong Young Scientist Award, 2019

Poster Award, Electronic Materials and Devices Workshop, Croucher Foundation, Hong Kong, 2019

Hong Kong Innovation and Technology Fund Postdoctoral Fellowship, 2018

Best Paper Award, IEEE International Conference on Electron Devices and Solid-State Circuits, 2018

IEEE Best PhD Thesis Award (Hong Kong Chapter), IEEE/EDSSC, Hong Kong, 2018

Best paper award, International Symposium on Memory Devices for Abundant Data Computing, 2017

Research Interests

Emerging in-sensor and near-sensor computing devices and systems

Optoelectronic memory & neuromorphic vision sensors

Emerging devices for the post-Moore's era

AI vision chip

Monolithic 3D integrated sensing-memory-computing chips

Recent representative works

Google Scholar：https://scholar.google.com/citations?hl=zh-CN&user=ZBmYoDkAAAAJ

Research Gate: https://www.researchgate.net/profile/Feichi-Zhou-2?ev=hdr_xprf

1. Jiayi Xu#, Biyi Jiang#, Weizhen Wang#, Jingkai Qin, Liang Ran, Longyang Lin, Songhua Cai*, and Feichi Zhou*, “Uncovering the High-Order Dynamics in an Ultra-Adaptive Neuromorphic Vision Device”, Nature nanotechnology, accepted.

2. Feichi Zhou and Yang Chai, “Near-sensor and in-sensor computing”, Nature Electronics, 2020, 3, 664. (IF:33.686, ESI highly cited paper).

3. Feichi Zhou, Zheng Zhou, Jiewei Chen, Tsz Hin Choy, Jingli Wang, Ning Zhang, Ziyuan Lin, Shimeng Yu, Jinfeng Kang, H. -S. Philip Wong and Yang Chai*, “Optoelectronic Resistive Random-Access Memory for Neuromorphic Vision Sensors”, Nature Nanotechnology, 2019, 14, 776–782 (2019). (IF: 39.213, ESI highly cited paper)

4. Pei-Yu Huang#, Bi-Yi Jiang#, Hong-Ji Chen#, Jia-Yi Xu, Kang Wang, Cheng-Yi Zhu, Xin-Yan Hu, Dong Li, Liang Zhen, Fei-Chi Zhou*, Jing-Kai Qin* and Cheng-Yan Xu*, “Neuro-inspired optical sensor array for high-accuracy static image recognition and dynamic trace extraction”, Nature Communications, 2023, 14, 6736.

5. Guangdong Zhou, Jie Li, Qunliang Song, Lidan Wang, Zhijun Ren, Bai Sun, Xiaofang Hu, Wenhua Wang, Gaobo Xu, Xiaodie Chen, Lan Cheng, Feichi Zhou* & Shukai Duan*, “Full Hardware Implementation of Neuromorphic Visual System Based on Multimodal Optoelectronic Resistive Memory Arrays for Versatile Image Processing”, Nature Communications, 2023, 14, 8489.

6. Ruo‐Yao Sun, Ze‐Yu Hou, Qing Chen, Bing‐Xuan Zhu, Cheng‐Yi Zhu, Pei‐Yu Huang, Zi‐Han Hu, Liang Zhen, Fei‐Chi Zhou*, Cheng‐Yan Xu*, Jing‐Kai Qin*, “Orientation-Selective Memory Switching in Quasi‐1D NbSe3 Neuromorphic Device for Omnibearing Motion Detection”, Advanced Materials, 2025, 37, 2409017.

7. Hengjie Zhang#, Biyi Jiang#, Chuantong Cheng*, Beiju Huang*, Huan Zhang, Run Chen, Jiayi Xu, Yulong Huang, Hongda Chen, Weihua Pei, Yang Chai, and Feichi Zhou*, “Self-Rectifying Synaptic Memristor Array with Ultrahigh Weight Potentiation Linearity for a Self-Organizing-Map Neural Network”, Nano Letters, 2023, 23, 8, 3107–3115.

8. Feichi Zhou, Yanghui Liu, Xinpeng Shen, Mengye Wang, Fang Yuan and Yang Chai*, “Low-Voltage, Optoelectronic Memory with Integrated Sensing and Logic Operations”, Advanced Functional Materials, 2018, 28, 1800080.

9. Feichi Zhou, Zhiwei Ren, Yuda Zhao, Xinpeng Shen, Aiwu Wang, Yang Yang Li, Charles Surya, and Yang Chai*, "Perovskite Photovoltachromic Supercapacitor with All Transparent Electrodes", ACS Nano, 2016, 10(6), 5900-5908.

10. Kekang Liu, Jie Li, Fangzhou Li, Yiyuan Lin, Hongrui Liu, Linzi Liang, Zhiyuan Luo, Wei Liu, Mengye Wang, Feichi Zhou*, Yanghui Liu*, “A multi-terminal ion-controlled transistor with multifunctionality and wide temporal dynamics for reservoir computing”, Nano Research, 2024, 17, 4444.

11. Peng Wang, Jie Li, Wuhong Xue, Wenjuan Ci, Fengxian Jiang, Lei Shi, Feichi Zhou*, Peng Zhou*, Xiaohong Xu*, “Integrated In-Memory Sensor and Computing of Artificial Vision Based on Full‐vdW Optoelectronic Ferroelectric Field‐Effect Transistor”, Advanced Science, 2024, 11, 2305679.

12. Feichi Zhou, Jiewei Chen, Xiaoming Tao, Xinran Wan, and Yang Chai*, “2D Materials Optoelectronic Memory – Convergence of Electronic Memory and Optical Sensor”, 2019, Research, Article ID 9490413.

13. B. Jiang, F. Zhou*, Y. Chai*, “Neuromorphic resistive random-access memory for image processing”, Acta Physica Sinica, 2022, 71(14)