1. 基本介绍：

金杰，男，1982年6月出生，博士，副教授，硕士生导师，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，其中IEEE汇刊5篇，并担任多个国内外学术期刊的审稿人。

联系方式(Email)：jj67123@hnust.edu.cn

2、研究方向：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

3、代表性科研工作

3.1 主持的代表性科研项目

[1] 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；

[2] 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；

[3] 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；

[4] 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；

[5] 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。

3.2代表性科研论著

[1] 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.

[2] 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.

[3] 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.

[4] 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.

[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, 2024. DOI: 10.1109/TETCI.2024.3356163.

[6] 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.

[7] Jie Jin, Lv Zhao, Mu Li, Fei Yu, Zaifang Xi. Improved zeroing neural networks for finite time solving nonlinear equations, Neural Computing and Applications, 32: 4151–4160, 2020.

[8] 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.

[9] Jie Jin, Jianqiang Gong, An interference-tolerant fast convergence zeroing neural network for Dynamic Matrix Inversion and its application to mobile manipulator path tracking, Alexandria Engineering Journal, 60: 659-669, 2021.

[10] Jie Jin, A robust zeroing neural network for solving dynamic nonlinear equations and its application to kinematic control of mobile manipulator, Complex & Intelligent Systems, 7: 87–99, 2021.

[11] 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.

[12] 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.

[13] 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.

[14] Weijie Chen, Jie Jin, Chaoyang Chen, Fei Yu, and Chunhua Wang. A Disturbance Suppression Zeroing Neural Network for Robust Synchronization of Chaotic Systems and Its FPGA Implementation. International Journal of Bifurcation and Chaos, 32(14): 2250210, 2022.

[15] 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.