金杰，男，1982年6月出生，博士，副教授，博士生导师，湖南省普通高校青年骨干教师。主要从事神经计算、神经网络、机器人与智能系统以及模拟/射频集成电路等领域的研究工作。近年来，主持国家自然科学基金项目2项、湖南省自然科学基金2项、湖南省教育厅项目2项，参与国家自然科学基金项目以及湖南省自然科学基金项目多项。在国内外学术期刊发表SCI/EI学术论文40余篇，并担任多个国内外学术期刊的审稿人。
n 学习经历
2011/09–2015/06，湖南大学，计算机应用技术，博士研究生；
2007/09–2010/06，湖南大学，信息与通信工程，硕士研究生；
2003/09–2007/06，深圳大学，电子信息工程专业，本科/学士。
n 科研项目（按时间倒序排列）
[1] 国家自然科学基金面上项目“针对时变问题求解的定时收敛容噪递归神经网络模型及其集成电路研究与实现”，项目编号：62273141，研究年度：2023/01-2026/12，项目负责人；
[2] 湖南省自然科学基金面上项目“基于低频电流模式振荡器理论的射频环形振荡器研究与设计”，项目编号：2020JJ4315，研究年度：2020/01-2022/12，项目负责人；
[3] 湖南省教育厅青年项目“电流模式射频振荡器的设计方法研究及其电路实现”，项目编号：20B216，研究年度：2021/01-2023/12，项目负责人；
[4] 国家自然科学基金地区项目“基于电流镜及放大器的新型混频器研究与设计”，项目编号：61561022，研究年度：2016/01-2019/12，项目负责人；
[5] 湖南省自然科学基金青年项目“基于0.18μm CMOS工艺的新型混频器研究与设计”，项目编号：2017JJ3254，研究年度：2017/01-2019/12，项目负责人；
[6] 湖南省教育厅青年项目“基于电流差分放大器的现场可编程模拟阵列研究与设计”，项目编号：16B212，研究年度：2017/01-2019/12，项目负责人。
n 学术论文
[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] 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.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 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.
