金傑，男，1982年6月出生，博士，副教授，博士生導師，湖南省普通高校青年骨幹教師。主要從事神經計算、神經網絡、機器人與智能系統以及模拟/射頻集成電路等領域的研究工作。近年來，主持國家自然科學基金項目2項、湖南省自然科學基金2項、湖南省教育廳項目2項，參與國家自然科學基金項目以及湖南省自然科學基金項目多項。在國内外學術期刊發表SCI/EI學術論文40餘篇，并擔任多個國内外學術期刊的審稿人。
2011/09–2015/06，湖南大學，計算機應用技術，博士研究生；
2007/09–2010/06，湖南大學，信息與通信工程，碩士研究生；
2003/09–2007/06，深圳大學，電子信息工程專業，本科/學士。
[1] 國家自然科學基金面上項目“針對時變問題求解的定時收斂容噪遞歸神經網絡模型及其集成電路研究與實現”，項目編号：62273141，研究年度：2023/01-2026/12，項目負責人；
[2] 湖南省自然科學基金面上項目“基于低頻電流模式振蕩器理論的射頻環形振蕩器研究與設計”，項目編号：2020JJ4315，研究年度：2020/01-2022/12，項目負責人；
[3] 湖南省教育廳青年項目“電流模式射頻振蕩器的設計方法研究及其電路實現”，項目編号：20B216，研究年度：2021/01-2023/12，項目負責人；
[4] 國家自然科學基金地區項目“基于電流鏡及放大器的新型混頻器研究與設計”，項目編号：61561022，研究年度：2016/01-2019/12，項目負責人；
[5] 湖南省自然科學基金青年項目“基于0.18μm CMOS工藝的新型混頻器研究與設計”，項目編号：2017JJ3254，研究年度：2017/01-2019/12，項目負責人；
[6] 湖南省教育廳青年項目“基于電流差分放大器的現場可編程模拟陣列研究與設計”，項目編号：16B212，研究年度：2017/01-2019/12，項目負責人。
[1] Jie Jin, Mengfan Wu, Aijia Ouyang, Keqin Li, Chaoyang Chen. A Novel Dynamic Hill Cipher and Its Applications on Medical IoT, IEEE Internet of Things Journal, 2025. DOI: 10.1109/JIOT.2025.3525623.
[2] Jie Jin, Jing Fang, Chaoyang Chen, Zhijing Li, Fei Yu. A complex-valued time varying zeroing neural network model for synchronization of complex chaotic systems, Nonlinear Dynamics, 113: 5471–5491, 2025.
[3] Jie Jin, Xiaoyang Lei, Chaoyang Chen, Zhijing Li. A fuzzy activation function based zeroing neural network for dynamic Arnold map image cryptography, Mathematics and Computers in Simulation, 230: 456-469, 2025.
[4] Jingcan Zhu, Jie Jin, Chaoyang Chen, Lianghong Wu, Ming Lu, Aijia Ouyang. A New-Type Zeroing Neural Network Model and Its Application in Dynamic Cryptography, IEEE Transactions on Emerging Topics in Computational Intelligence, 9(1): 176-191, 2025.
[5] Yu Ning, Jie Jin, Zhijing Li, Chaoyang Chen, Aijia Ouyang. A Time-varying Hill Cipher for Dynamic Image Cryptography, Tsinghua Science and Technology, 2025. https://doi.org/10.26599/TST.2024.9010213.
[6] Jie Jin, Jingcan Zhu, Lan Zhou, Chaoyang Chen, Lianghong Wu, Ming Lu, Changren Zhu, Lei Chen, Lv Zhao, Zhijing Li. A Complex-valued Variant-parameter Robust Zeroing Neural Network Model and Its Applications, IEEE Transactions on Emerging Topics in Computational Intelligence, 8(2): 1303-1321, 2024.
[7] Jie Jin, Weijie Chen, Aijia Ouyang, Fei Yu, Haiyan Liu. A Time-Varying Fuzzy Parameter Zeroing Neural Network for the Synchronization of Chaotic Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, 8(1): 364 - 376, 2024.
[8] Jie Jin, Weijie Chen, Chaoyang Chen, Long Chen, Zhijun Tang, Lei Chen, Lianghong Wu and Changren Zhu. A Predefined Fixed-Time Convergence ZNN and its Applications to Time-Varying Quadratic Programming Solving and Dual-Arm Manipulator Cooperative Trajectory Tracking. IEEE Transactions on Industrial Informatics, 19(8): 8691 - 8702, 2023.
[9] Jie Jin, Weijie Chen, Lixin Qiu, Jingcan Zhu, Haiyan Liu. A noise tolerant parameter-variable zeroing neural network and its applications, Mathematics and Computers in Simulation, 207: 482–498, 2023.
[10] Jie Jin, Jingcan Zhu, Lv Zhao, Lei Chen, Long Chen, Jianqiang Gong. A Robust Predefined-Time Convergence Zeroing Neural Network for Dynamic Matrix Inversion. IEEE Transactions on Cybernetics, 53(6): 3887-3900, 2023.
[11] Jie Jin, Weijie Chen, Aijia Ouyang, Haiyan Liu. Toward Fuzzy Activation Function Activated Zeroing Neural Network for Currents Computing, IEEE Transactions on Circuits and Systems II: Express Briefs, 70(11): 4201 - 4205, 2023.
[12] Jianqiang Gong, Jie Jin, A better robustness and fast convergence zeroing neural network for solving dynamic nonlinear equations, Neural Computing and Applications, 35: 77–87, 2023.
[13] Weijie Chen, Jie Jin, Dimitrios Gerontitis, Lixin Qiu, Jingcan Zhu. Improved Recurrent Neural Networks for Text Classification and Dynamic Sylvester Equation Solving, Neural Processing Letters, 55: 8755–8784, 2023.
[14] Jie Jin, Jingcan Zhu, Lv Zhao, Lei Chen. A fixed-time convergent and noise-tolerant zeroing neural network for online solution of time-varying matrix inversion. Applied Soft Computing, 130: 109691, 2022.
[15] Jie Jin, Jingcan Zhu, Jianqing Gong, Weijie Chen. Novel activation functions-based ZNN models for fixed-time solving dynamirc Sylvester equation, Neural Computing and Applications, 34: 14297–14315, 2022.
[16] Jie Jin, Lixin Qiu. A robust fast convergence zeroing neural network and its applications to dynamic Sylvester equation solving and robot trajectory tracking. Journal of the Franklin Institute, 359: 3183–3209, 2022.
