朱亚楠，女，现任南京信息工程大学自动化学院副教授，并荣获江苏省重大人才工程博士项目，目前主持国家自然科学基金、国家自然科学联合基金重点项目子课题、江苏省自然科学基金青年项目及江苏省高等学校研究面上项目；近五年来在国内外重要学术刊物和会议上累计发表学术论文20余篇，主要研究方向涵盖多智能体协同控制、分布式优化与博弈、多智能体强化学习以及遥感图像处理。

招生专业：081100 控制科学与工程学硕，085406 控制工程（本部，金牛湖），085411 大数据技术与工程（本部），085400 电子信息（雷丁、沃特福德中外合作办学）专硕。

欢迎自动化、计算机、数学等本科专业背景的学生咨询报考。

邮箱：ynzhu@nuist.edu.cn。

教育经历

2015.09-2019.06，东南大学，博士

2019.07-2019.12 皇家墨尔本理工大学，访问学者，合作导师：余星火教授

2018.10-2018.12 皇家墨尔本理工大学，访问学者，合作导师：余星火教授

2017.12-2018.06 美国加州大学河滨分校，访问学者，合作导师：任伟教授

2017.04-2017.06 香港城市大学，研究助理，合作导师：陈关荣教授

代表性论文

[1] Y. Zhu, Q. Li, T. Li, and G. Wen, “Distributed Randomized Gradient-Free Convex Optimization  With Set Constraints Over Time-Varying Weight-Unbalanced Digraphs,” IEEE Trans. Netw. Sci.  Eng., 12(2): 610–622, 2025.

[2] Y. Zhu and H. Li, “Distributed Event-triggered Algorithm for Resource Allocation over  Directed Balanced Networks with Communication Edge Attacks,” Asian J. Control, doi:  https://doi.org/10.1002/asjc.3614, 2025. 

[3] 李庆海，朱亚楠，刘洪喆.时变不平衡有向图上分布式在线约束优化算法，控制理论与应用.  https://link.cnki.net/urlid/44.1240.TP.20250311.1612.058，2025.

[4] Y. Zhu, Z. Zhou, and G. Miao, “Distributed Stochastic Optimization Algorithm with  Non-consistent Constraints in Time-varying Unbalanced Networks,” J. Frankl. Inst., 361(14):  107081, 2024. 

[5] W. Yu, Y. Zhu, and H. Liu, “A Survey of Distributed Optimization,” in Reference Module in  Materials Science and Materials Engineering, Elsevier, doi:  10.1016/B978-0-443-14081-5.00077-5, 2024. 

[6] Y. Li, Y. Zhu, T. Li, and B. Zheng, “Distributed Event‐triggered Generalized Nash equilibrium  Seeking in Multi‐coalition Noncooperative Games with Coupling Constraints,” Asian J. Control,  25(5): 3859–3869, 2023.

[7] Y. Li, Y. Zhu, T. Li, and B.-C. Zheng, “Distributed Nash Equilibrium Seeking in a  Multi-Coalition Noncooperative Game Under Incomplete Decision Information,” IEEE Trans.  Circuits Syst. II Express Briefs, 69(8): 3400–3404, 2022.

[8] Y. Zhu, W. Yu, G. Wen, and G. Chen, “Distributed Nash Equilibrium Seeking in an Aggregative  Game on a Directed Graph,” IEEE Trans. Autom. Control, 66(6): 2746–2753, 2021.

[9] Y. Zhu, W. Yu, W. Ren, G. Wen, and J. Gu, “Generalized Nash Equilibrium Seeking via  Continuous-Time Coordination Dynamics Over Digraphs,” IEEE Trans. Control Netw. Syst.,  8(2): 1023–1033, 2021.

[10] Y. Zhu, G. Wen, W. Yu, and X. Yu, “Nonsmooth Resource Allocation of Multiagent Systems  With Disturbances: A Proximal Approach,” IEEE Trans. Control Netw. Syst., 8(3): 1454–1464,  2021. 

[11] Y. Zhu, G. Wen, W. Yu, and X. Yu, “Continuous-Time Distributed Proximal Gradient  Algorithms for Nonsmooth Resource Allocation Over General Digraphs,” IEEE Trans. Netw.  Sci. Eng., 8(2): 1733–1744, 2021.

[12] Y. Zhu, W. Ren, W. Yu, and G. Wen, “Distributed Resource Allocation Over Directed Graphs  via Continuous-Time Algorithms,” IEEE Trans. Syst. Man Cybern. Syst., 51(2): 1097–1106,  2021.

[13] Y. Zhu, W. Yu, G. Wen, and G. Chen, “Projected Primal–Dual Dynamics for Distributed  Constrained Nonsmooth Convex Optimization,” IEEE Trans. Cybern., 50(4): 1776–1782, 2020.

[14] Y. Zhu, W. Yu, G. Wen, G. Chen, and W. Ren, “Continuous-Time Distributed Subgradient  Algorithm for Convex Optimization With General Constraints,” IEEE Trans. Autom. Control,  64(4): 1694–1701, 2019.

[15] Y. Zhu, W. Yu, G. Wen, and W. Ren, “Continuous-Time Coordination Algorithm for Distributed  Convex Optimization Over Weight-Unbalanced Directed Networks,” IEEE Trans. Circuits Syst.  II Express Briefs, 66(7): 1202–1206, 2019.

主持科研项目

1. 国家自然科学基金青年项目(62203224):复杂通信拓扑和高性能需求下分布式约束优化研究, 2023.1-2025.12,主持，在研

2. 国家自然科学联合重点基金项目子课题(U22B2046):多无人系统智能协同自适应定位与跟踪技术, 2023.1-2026.12,参与，在研

3.  江苏省自然科学基金青年项目(BK20200809):受扰多智能体系统的分布式优化,2020.7-2023.6，主持，在研

4. 江苏省高等学校自然科学研究（20KJB120004): 基于有向多智能体网络的抗干扰分布式优化算法研究,2020.12-2022.12,主持，结题