职称:长聘教轨助理教授
邮箱:chao.ning@sjtu.edu.cn
地址:电信群楼 2-400
招生信息
教育经历
2020年8月,美国康奈尔大学(Cornell University),博士学位
2015年7月,清华大学,硕士学位
2012年7月,电子科技大学,学士学位
工作经历
2021年2月-至今,上海交通大学自动化系,助理教授
2020年8月-2021年1月,美国康奈尔大学,博士后
科研方向
科研项目
荣誉与奖励
科研成果
期刊论文
[1] Ning, C., You, F. (2021). Deep Learning based Distributionally Robust Joint Chance Constrained Economic Dispatch under Wind Power Uncertainty. IEEE Transactions on Power Systems, (已录用).
[2] Ning, C., You, F. (2021). Online Learning Based Risk-Averse Stochastic MPC of Constrained Linear Uncertain Systems. Automatica, 125, 109402.
[3] Ning, C., You, F. (2020). A Transformation-Proximal Bundle Algorithm for Multistage Adaptive Robust Optimization and Application to Constrained Robust Optimal Control. Automatica, 113, 108802.
[4] Ning, C., You, F. (2019). Data-Driven Adaptive Robust Unit Commitment under Wind Power Uncertainty: A Bayesian Nonparametric Approach. IEEE Transactions on Power Systems, 34, 2409-2418.
[5] Ning, C., You, F. (2019). Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming. Computers & Chemical Engineering, 125, 434-448. (Review Paper)
[6] Ning, C., You, F. (2019). Data-Driven Wasserstein Distributionally Robust Optimization for Biomass with Agricultural Waste-to-Energy Network Design under Uncertainty. Applied Energy, 255, 113857.
[7] Ning, C., You, F. (2017). Data-Driven Adaptive Nested Robust Optimization: General Modeling Framework and Efficient Computational Algorithm for Decision Making under Uncertainty. AIChE Journal, 63, 3790-3817.
[8] Ning, C., You, F. (2017). A Data-Driven Multistage Adaptive Robust Optimization Framework for Planning and Scheduling under Uncertainty. AIChE Journal, 63, 4343-4369.
[9] Ning, C., Chen, M., Zhou, D. (2014) Hidden Markov Model-Based Statistics Pattern Analysis for Multimode Process Monitoring: An Index-Switching Scheme. Industrial & Engineering Chemistry Research, 53, 11084-11095.
[10] Ning, C., You, F. (2018). Data-Driven Stochastic Robust Optimization: General Computational Framework and Algorithm Leveraging Machine Learning for Optimization under Uncertainty in the Big Data Era. Computers & Chemical Engineering, 111, 115-133.
[11] Ning, C., You, F. (2018). Data-Driven Decision Making under Uncertainty Integrating Robust Optimization with Principal Component Analysis and Kernel Smoothing Methods. Computers & Chemical Engineering, 112, 190-210.
[12] Ning, C., You, F. (2018). Adaptive Robust Optimization with Minimax Regret Criterion: Multiobjective Optimization Framework and Computational Algorithm for Planning and Scheduling under Uncertainty. Computers & Chemical Engineering, 108, 425-447.
[13] Cao, J., Yang, B., Zhu, S., Ning, C., Guan, X. (2021). Day-ahead Chance-Constrained Energy Management of Energy Hub: A Distributionally Robust Approach. CSEE Journal of Power and Energy Systems.
[14] Gao, J., Ning, C., You, F. (2019). Data-Driven Distributionally Robust Optimization for Shale Gas Supply Chain Design and Operations under Uncertainty. AIChE Journal, 3, 947-963.
[15] Zhao, L., Ning, C., You, F. (2019). Operational Optimization of Industrial Steam Systems under Uncertainty Using Data-Driven Adaptive Robust Optimization. AIChE Journal, 65, e16500.
[16] Nicoletti, J., Ning, C., You, F. (2019). Incorporating Agricultural Waste-to-Energy Pathways into Biomass Product and Process Network through Data-Driven Nonlinear Adaptive Robust Optimization. Energy, 180, 556-571.
会议论文
[1] Ning, C., You, F. (2019). Data-Driven Adaptive Robust Optimization Framework for Unit Commitment under Renewable Energy Generation Uncertainty. American Control Conference (ACC), 4734-4739. (美国控制会议 ACC 最佳论文奖)
[2] Ning, C., You, F. (2021). Data-Driven Ambiguous Joint Chance Constrained Economic Dispatch with Correlated Wind Power Uncertainty. American Control Conference (ACC), 1807-1812.
[3] Ning, C., You, F. (2019). A Transformation-Proximal Bundle Algorithm for Solving Multistage Adaptive Robust Optimization Problems. 57th IEEE Conference on Decision and Control (CDC), 2018, 2439-2444.
[4] Ning, C., Chen, M., Zhou, D. (2015) Sparse Contribution Plot for Fault Diagnosis of Multimodal Chemical Process. IFAC-PaperOnline, 48 (21), 619-626.
[5] Ning, C., You, F. (2018). Data-Driven Adaptive Robust Optimization Framework Based on Principal Component Analysis. American Control Conference (ACC), 3020-3025.
[6] Ning, C., You, F. (2019). Chemical Process Scheduling under Disjunctive Uncertainty Using Data-Driven Multistage Adaptive Robust Optimization. American Control Conference (ACC), 2145-2150.
[7] Ning, C., You, F. (2016). Data-Driven Robust MILP Model for Scheduling of Multipurpose Batch Processes under Uncertainty. 55th IEEE Conference on Decision and Control (CDC), 2016, 6180-6185.
[8] Ning, C., You, F. (2017). Leveraging Big Data for Adaptive Robust Optimization of Scheduling under Uncertainty. American Control Conference (ACC), 3783-3788.
发明专利
[1] 周东华,宁超,陈茂银. 基于稀疏贡献图的高炉多工况故障分离方法及系统. 中国发明专利 201410418264.9
[2] 周东华,宁超,陈茂银. 一种基于协方差矩阵范数逼近的多重故障重构方法. 中国发明专利 201310662933.2
[3] 周东华,宁超,陈茂银. 一种基于监控指标切换的多工况过程监控方法. 中国发明专利 201310675045.4
教授课程