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Feichi ZHOU
Associate Professor
zhoufc@sustech.edu.cn

Dr. Feichi Zhou is now an associate professor at the Southern University of Science and Technology and 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 and neuromorphic vision sensors, RRAM-based neuromorphic computing & logic devices, 3D integrated sensing-memory-computing systems, and Intelligent multimodal sensing-computing systems. She has published more than 30 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 Functional Materials, ACS Nano, Nano Letters, Research, etc. She was also the recipient of the Hong Kong Young Scientist Award, IEEE EDSSC best paper award, International Symposium on Memory Devices for Abundant Data Computing best paper award. She also works as a reviewer for Nature Electronics, Nature Communication, Advanced Functional Materials, Nano Letters, 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


Employment

2022.12-present  Associate Professor, School of Microelectronics, Southern University of Science and Technology

2021.02-2022.12  Assistant Professor, School of Microelectronics, Southern University of Science and Technology

2018.10 - 2020.12   Post-doctoral Fellow, The Hong Kong Polytechnic University

2018.08 - 2018.10   Research Assistant, 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

Optoelectronic memory & Neuromorphic vision sensors

RRAM based neuromorphic computing & logic devices

Heterogeneous integration for AIoT chips

 

Research Publications 

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

2. 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)

3. 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.

4. 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, accepted.

5. 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.

6. 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.

7. 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.

8. 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.

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

10. G. Zhou*, X. Ji, J. Li, F. Zhou*, Z. Dong, B. Yan, B. Sun*, W. Wang, X. Hu, Q. Song, L. Wang, S. Duan*, Second-order associative memory circuit hardware implemented by the evolution from battery-like capacitance to resistive switching memory, iScience, 2022, 25(10), 105240.

11. Feichi Zhou and Yang Chai. Multifunctional perovskite photovoltachromic supercapacitor, International Nanoelectronics Conference (INEC), 2016 IEEE International. IEEE, 2016: 1-2.

12. J. Guo, Y. Liu, F. Zhou, F. Li, Y. Li, F. Huang, “Linear Classification Function Emulated by Pectin Based Polysaccharide Gated Multiterminal Neuron Transistors”, Advanced Functional Materials, 2021, 31, 2102015.

13. Jingkai Qin, Feichi Zhou, Jingli Wang, Jiewei Chen, Cong Wang, Xuyun Guo, Shouxin Zhao, Yi Pei, Liang Zhen, Peide Ye, Shuping LAU, Ye Zhu, Cheng-Yan Xu, and Yang Chai*, "Anisotropic Signal Processing with Trigonal Selenium Nanosheet Synaptic Transistors", ACS Nano, 2020, 14(8), 10018-10026.

14. G. Zhou, Z. Wang, B. Sun, F. Zhou, L. Sun, H. Zhao, X. Hu, X. Peng, J.Yan, H. Wang, W. Wang, J. Li, B. Yan, D. Kuang, Y. Wang, L. Wang, S. Duan, Volatile and Nonvolatile Memristive Devices for Neuromorphic Computing, Adv. Electron. Mater. 2022, 8, 2101127.

15. Bangjie Shao, Tsz Hin Choy, Feichi Zhou, Jiewei Chen, Cong Wang, Yong Ju Park, Jong-Hyun Ahn, Yang Chai, Crypto primitive of MOCVD MoS2 transistors for highly secured physical unclonable functions. Nano Research (2020). https://doi.org/10.1007/s12274-020-3033-0

16. Fuyou Liao, Feichi Zhou, Yang Chai, “Neuromorphic Vision Sensors: Principle, Progress and Perspectives”, Journal of Semiconductors, 41, 1, 2020.

17. Fang Yuan, Zhi Zhang, Chunru Liu, Feichi Zhou, Hei Man Yau, Wei Lu, Xiaoyan Qiu, H. -S. Philip Wong, Jiyan Dai, and Yang Chai*, "Real-time observation of the electrode-size-dependent evolution dynamics of the conducting filaments in a SiO2 layer", ACS Nano, 2017, 11 (4), 4097–4104.