尚骏，准聘教授，国家高层次青年人才，上海市领军人才（海外），入选同济大学青年百人计划A岗。

教育经历

2013.9–2018.7 清华大学，控制科学与工程，博士学位

2009.8–2013.7 哈尔滨工业大学，控制科学与工程，学士学位

工作经历

2023.3至今 同济大学，控制科学与工程系，准聘教授

2018.9–2023.1 阿尔伯塔大学，电子与计算机工程系，博士后

荣誉与奖励

2019.11 中国自动化学会自然科学奖二等奖

2019.11 中国自动化学会优秀博士学位论文奖

2018.7 清华大学优秀博士毕业生

2018.7 清华大学优秀博士学位论文奖

代表性论文

[1] Jun Shang, Tongwen Chen, Linear encryption against eavesdropping on remote state estimation, IEEE Transactions on Automatic Control, 2023, Early Access.

[2] Jing Zhou, Jun Shang, Tongwen Chen, Optimal deception attacks against remote state estimation: An information-based approach, IEEE Transactions on Automatic Control (Full Paper), 2023, Early Access.

[3] Jing Zhou, Jun Shang, Tongwen Chen, Optimal deception attacks on remote state estimators equipped with interval anomaly detectors, Automatica (Regular Paper), 2023, 148: 110723.

[4] Jun Shang, Jing Zhou, Tongwen Chen, Single-dimensional encryption against innovation-based stealthy attacks on remote state estimation, Automatica (Regular Paper), 2022, 136: 110015.

[5] Jun Shang, Hao Yu, Tongwen Chen, Worst-case stealthy attacks on stochastic event-based state estimation, IEEE Transactions on Automatic Control, 2022, 67(4), 2052–2059.

[6] Jun Shang, Hao Yu, Tongwen Chen, Worst-case stealthy innovation-based linear attacks on remote state estimation under Kullback–Leibler divergence, IEEE Transactions on Automatic Control, 2022, 67(11), 6082–6089.

[7] Hao Yu, Jun Shang, Tongwen Chen, Stochastic event-based LQG control: An analysis on strict consistency, Automatica (Regular Paper), 2022, 138: 110157.

[8] Jun Shang, Tongwen Chen, Optimal stealthy integrity attacks on remote state estimation: The maximum utilization of historical data, Automatica (Regular Paper), 2021, 128: 109555.

[9] Jun Shang, Maoyin Chen, Tongwen Chen, Optimal linear encryption against stealthy attacks on remote state estimation, IEEE Transactions on Automatic Control (Full Paper), 2021, 66(8): 3592–3607.

[10] Hao Yu, Jun Shang, Tongwen Chen, On stochastic and deterministic event-based state estimation, Automatica (Regular Paper), 2021, 123: 109314.

[11] Maoyin Chen, Jun Shang, Recursive spectral meta-learner for online combining different fault classifiers, IEEE Transactions on Automatic Control, 2018, 63(2): 586–593.

[12] Jun Shang, Maoyin Chen, Hongquan Ji, Donghua Zhou, Recursive transformed component statistical analysis for incipient fault detection, Automatica (Regular Paper), 2017, 80: 313–327.

招生招聘

多智能体交互学习与自主决策实验室（ai-lab.tongji.edu.cn）由陈杰院士、洪奕光教授、李莉教授担任学科带头人，每年招收博士后、博士生及硕士生，欢迎对本课题组感兴趣的同学来信咨询。