周菲迟博士现任南科大深港微电子学院研究员、博士生导师，入选国家级海外高层次人才（青年项目），国家重点研发计划青年项目首席科学家，香港青年科学家奖获得者，深圳市海外高层次人才（孔雀B类）。课题组主要从事感存算一体化神经形态器件、人工智能视觉芯片、后摩尔新型半导体器件、先进三维单片集成感存算芯片的研究。周菲迟博士至今已在相关领域取得多项突破性进展及首创性成果，发表论文60余篇，被引用5000余次，相关研究成果以第一/通讯作者发表在多个国际顶级期刊，包括Nature Nanotechnology（2篇，1篇ESI高被引）、Nature Electronics（ESI高被引）、Nature Communications（2篇），Advanced Materials、ACS Nano，Nano Letters，Advanced Functional Materials等，研究成果被多家国内外媒体邀请报道。作为项目负责人主持国家重点研发计划青年科学家项目、国家海外优青、国自然面上项目、国自然青年基金等多个项目。成立深港微电子学院-犀灵视觉神经形态感存算芯片联合实验室，担任实验室负责人。获香港青年科学家奖（物理/数学，仅一名），International Symposium on Memory Devices for Abundant Data Computing最佳会议论文奖、IEEE ED/SSC会议论文奖及最佳博士论文奖等多个奖项。担任Nature Electronics, Nature Sensors, Nature Communication, Science Advances, Advanced Materials，Advanced Functional Materials, Nano Letters等多个期刊审稿人。担任InfoMat, Nano-Micro Letters, Materials Futures等期刊青年编委。

招聘信息

周菲迟博士课题组常年招聘博士后、科研助理，招收博士生、硕士生、本科实习生，有意应聘者请将简历发送至周菲迟邮箱。

联系方式：zhoufc@sustech.edu.cn

教育经历

香港理工大学，应用物理，博士

英国帝国理工学院，先进材料科学工程，硕士

北京科技大学，材料科学与工程，学士

工作经历

南方科技大学深港微电子学院，副教授/研究员/博导

香港理工大学，博士后研究员

获得奖项

入选国家高层次青年人才计划

入选深圳市高层次人才计划

香港青年科学家奖（物理/数学学科，仅一名）

International Symposium on Memory Devices for Abundant Data Computing，最佳论文奖

香港裘槎基金會电子材料及器件会议最佳墙报奖

IEEE ED/SSC Hong Kong chapter 最佳博士论文奖

IEEE ED/SSC 会议最佳论文奖

研究方向

感存算一体化神经形态器件

Vision AI人工智能视觉器件与芯片

后摩尔新型半导体器件、新型存储器（光/电忆阻器、铁电存储器）

先进三维单片集成感存算融合芯片

智能视觉算法、神经网络

部分代表性论文 (* 通讯作者)

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, Songhua Cai*, and Feichi Zhou*, “High-Order Dynamics in an Ultra-Adaptive Neuromorphic Vision Device”, Nature nanotechnology, 2025.

2. Feichi Zhou and Yang Chai, “Near-sensor and in-sensor computing”, Nature Electronics, 2020, 3, 664. (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). (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. (Editor’s highlight)

6. 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.

7. 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.

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)