副教授 深港微电子学院
周菲迟博士现任南方科技大学深港微电子学院副教授、正高级研究员、博士生导师,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,深圳市海外高层次人才(孔雀B类), 香港青年科学家奖获得者。主要领域包括:感存算一体化新型信息器件(光控阻变存储器、神经形态感算器件)与系统、新原理忆阻器及神经形态计算系统、智能仿生多模态感算器件/系统、感存算三维集成系统。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30余篇,被引用2400余次,其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(ESI高被引),Nature Electronics(ESI高被引),Nature Communications,ACS Nano,Nano Letters, Advanced Functional Materials,Research等,研究成果被 Nature community和多家国内外媒体邀请报道。获香港青年科学家奖(物理/数学,仅一名),香港创新及科技基金博士后基金、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。主持科技部国家重点研发计划青年科学家项目、国自然面上项目、国自然青年基金、广东省面上项目、深圳市面上项目、广东省青年创新人才项目等多个项目。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。担任中国光电产业平台专家委员会理事,担任InfoMat, Materials Futures,Nano-micro Letters等期刊青年编委,担任Nature Electronics, Nature Communications, Advanced Functional Materials, Nano Letters等多个期刊审稿人。更多详情见个人主页https://faculty.sustech.edu.cn/zhoufc/
个人简介
研究领域
感存算一体化新型信息器件(光控阻变存储器、神经形态感算器件)与系统、新原理忆阻器及神经形态计算系统、智能仿生多模态感算器件/系统、感存算三维集成系统
教学
本科生课程 SME204 微电子基础II-半导体器件
研究生课程 SME5023 忆阻器导论及神经形态计算
学术成果 查看更多
- Feichi Zhou and Yang Chai, “Near-sensor and in-sensor computing”, Nature electronics, 2020, 3, 664. (ESI highly cited paper)
- 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)
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- B. Jiang, F. Zhou*, Y. Chai*, “Neuromorphic resistive random-access memory for image processing”, Acta Physica Sinica, 2022, 71(14)
- 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.
- Feichi Zhou and Yang Chai. Multifunctional perovskite photovoltachromic supercapacitor, International Nanoelectronics Conference (INEC), 2016 IEEE International. IEEE, 2016: 1-2.
- 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.
- 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.
- 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.
- 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.
- Fuyou Liao, Feichi Zhou, Yang Chai, “Neuromorphic Vision Sensors: Principle, Progress and Perspectives”, Journal of Semiconductors, 41, 1, 2020.
- 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.