雷金龙，理学博士，bat365官网登录“青年百人A”教授，国家海外高层次青年人才计划获得者。2011年于中国科学技术大学获得学士学位，2016年于中国科学院数学与系统科学研究院获得理学博士学位。 2016- 2019年在美国宾夕法尼亚州立大学从事博士后研究。研究方向是不确定信息下多智能体优化与博弈的分析与设计理论。获得中国科协青年人才托举工程、第27届“关肇直”奖、上海市青年科技英才“扬帆计划”并主持国家自然科学基金委青年基金和面上基金项目等，并参与上海市市级科技重大专项等。已发表30余篇期刊和会议论文，包括优化控制与运筹学顶刊IEEE Trans. Automatic Control、SIAM J. Optimization、Operations Research和Mathematics of Operations Research及人工智能顶会NeurIPS等。代表论文如下：

1.Jinlong Lei, Peng Yi∗, Jie Chen, and Yiguang Hong, “Distributed Variable Sample-size Stochastic Optimization with Fixed Step-sizes",IEEE Transactions on Automatic Control, pp. 5630–5637, vol. 67, no. 10, 2022.

2.Jinlong Leiand Uday V. Shanbhag, "Distributed Variable Sample-Size Gradient-response and Best-response Schemes for Stochastic Nash Games over Graphs",SIAM Journal on Optimization, pp. 573–603, vol. 32, no. 2, 2022.

3.Jinlong Leiand Uday V. Shanbhag, “Stochastic Nash Equilibrium Problems: Models, Analysis, and Algorithms",IEEE Control Systems Magazine, vol. 42, no. 4, pp. 103–124, 2022.

4. Xianlin Zeng,Jinlong Lei∗, and Jie Chen, ”Dynamical Primal-Dual Accelerated Method withApplications to Network Optimization",IEEE Transactions on Automatic Control,10.1109/TAC.2022.3152720,2022.

5. Peng Yi,Jinlong Lei∗, Yiguang Hong, Jie Chen, and Guodong Shi, “Distributed Linear Equationsover Random Networks",IEEE Transactions on Automatic Control,DOI 10.1109/TAC.2022.3187379,2022.

6. Shijie Huang,Jinlong Lei∗, Yiguang Hong, “A Linearly Convergent Distributed Nash Equilibrium Seeking algorithm for Aggregative Games",IEEE Transactions on Automatic Control,10.1109/TAC.2022.3154356,2022.

7.Jinlong Leiand Uday V. Shanbhag, “Asynchronous variance-reduced block schemes for composite non-convex stochastic optimization: block-specific steplengths and adapted batch-sizes",Optimization Methods and Software,vol. 37, no. 1, pp. 264–294, 2022.

8.Jinlong Lei, and Han-Fu Chen, "Distributed Stochastic Approximation Algorithm With Expanding Truncations: Algorithm and Applications",IEEE Transactions on Automatic Control, vol. 65, no. 2, pp. 664-679,Full Paper, 2020.

9.Jinlong Leiand Uday V. Shanbhag, "Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization,"Operations Research, vol. 68, no. 6, pp. 1742–1766, 2020.

10.Jinlong Lei, Peng Yi, Guodong Shi, and Brian D. O. Anderson, ``Distributed Algorithms with Finite Data Rates that Solve Linear Equations",SIAM Journal on Optimization, vol. 30, no. 2, pp.1191–1222, 2020.

11.Jinlong Lei,Peng Yi, Yiguang Hong, Jie Chen, and Guodong Shi, “Online Convex Optimization Over Erdos-Renyi Random Networks",Advances in Neural Information Processing Systems, 2020.

12.Jinlong Lei, Uday V. Shanbhag, Jong-Shi Pang, and Suvrajeet Sen, “On Synchronous, Asynchronous, and Randomized Best-Response schemes for computing equilibria in Stochastic Nash games,”Mathematics of Operations Research, vol. 45, no.1, pp. 157-190, 2020.

13.Jinlong Lei, Han-Fu Chen, and Hai-Tao Fang, "Asymptotic Properties of Primal-Dual Algorithm for Distributed Stochastic Optimization Over Random Networks,"SIAM Journal on Control and Optimization, vol. 56, no.3, pp. 2159--2188, 2018.

14.Jinlong Lei, Han-Fu Chen, and Hai-Tao Fang, "Primal-Dual Algorithm for Constrained Network Optimization",Systems and Control Letters, vol. 96, pp. 110--117, 2016.

15.Jinlong Leiand Han-Fu Chen, "Stochastic Approximation Based Distributed Randomized Page Rank Algorithm",IEEE Transactions on Automatic Control,vol. 60, no. 6, pp. 1641-1646, 2015.

近五年主持的科研项目：

(1)国家自然科学基金委员会,面上项目, 72271187,基于博弈方法的有人-无人混合复杂系统建模和决策, 2023-01-01至2026-12-31,在研,主持。

(2)国家自然科学基金委员会,青年科学基金项目, 62003240,基于变样本采样的多智能体分布式随机优化算法研究, 2021-01-01至2023-12-31,在研,主持。

(3)上海市科学技术委员会,青年科技英才“扬帆计划”, 20YF1452800,网络资源约束下的分布式机器学习方法, 2020-07至2023-06,在研,主持。

(4)中国科学技术协会,中国科协“青年人才”托举工程, 2019QNRC001,第五届青年托举人才, 2019-01至2021-12,结题,主持

讲授本科课程：随机过程、《专业导论（信息类）》