一、个人信息
姓名：江超
职称：讲师
电子邮箱：chaojiang@mail.ecust.edu.cn, jiangchaoecust@gmail.com
二、教育背景
2022.10-至今新利18彩票智能制造研究院讲师
2016.09-2022.06华东理工大学能源化工过程智能制造教育部重点实验室控制科学与工程专业工学博士（导师：钟伟民教授）
2019.10-2020.11加拿大阿尔伯塔大学化学与材料工程系联合培养博士生（外方导师：黄彪院士）
2012.09-2016.06中国矿业大学孙越崎学院电气工程与自动化工学学士
三、研究方向
贝叶斯统计学习；深度学习；迁移学习；工业大数据分析与智能建模；流程安全监控与溯源诊断
四、项目经历
[1]城市污水处理过程异常工况预警与自愈控制，国家自然科学基金重大项目课题，61890933，2019.01-2023.12，主要参与人
[2]化工过程建模与运行优化，国家自然科学基金委杰出青年科学基金项目，61925305，2020.01-2024.12，主要参与人。
[3]基于动态风险云图的危险化学品风险评价与预警技术，国家重点研发计划子课题，科技部2018YFC0809304，2018.01-2022.01，参与人
[4]基于人机合作互学习的炼油生产风险预警与智能决策，国家自然科学基金应急管理项目，61751305，2017.01-2020.01，参与人
[5]面向大规模多源异构数据的炼油过程分布式特征提取和异常识别方法研究，上海市扬帆计划，18YF1405200，2018.10-2021.10，参与人
五、研究成果
[1]Chao Jiang, Yusheng Lu, Weimin Zhong*, Biao Huang, Dayu Tan, Wenjiang Song, and Qian Feng. Deep Bayesian Slow Feature Extraction with Application to Industrial Inferential Modeling.IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2021.3129888, 2021.(SCI, IF: 10.215).
[2]Chao Jiang, Weimin Zhong*,Zhi Li, Xin Peng, and Minglei Yang. Real-time Semisupervised Predictive Modeling Strategy for Industrial Continuous Catalytic Reforming Process with Incomplete Data Using Slow Feature Analysis.Industrial & Engineering Chemistry Research, 58 (37): 17406-17423, 2019.(SCI, IF: 3.720).
[3]Weimin Zhong*,Chao Jiang, Xin Peng, Zhi Li, and Feng Qian. Online Quality Prediction of Industrial Terephthalic Acid Hydropurification Process Using Modified Regularized Slow-Feature Analysis. Industrial & Engineering Chemistry Research, 57 (29): 9604-9614, 2018.(SCI, IF: 3.720).
[4]Yusheng Lu,Chao Jiang, Dan Yang, Xin Peng*, and Weimin Zhong*. Quality-Relevant Feature Extraction Method Based on Teacher-Student Uncertainty Autoencoder and Its Application to Soft Sensors.Information Sciences, 592, 320-339, 2022.(SCI, IF: 6.795).
[5]Yusheng Lu, Xin Peng*, Dan Yang,Chao Jiang, and Weimin Zhong*. The Probabilistic Discriminative Time-Series Model with Latent Variables and Its Application to Industrial Chemical Process Modeling.Chemical Engineering Journal, 423, 320-339, 2021.(SCI, IF: 13.273).
[6]Dayu Tan, Linggang Chen,Chao Jiang, Weimin Zhong*, Wenli Du, Feng Qian, and Vladimir Mahalec. A Circular Target Feature Detection Framework Based on DCNN for Industrial Applications.IEEE Transactions on Industrial Informatics, 17 (5), 3303-3313, 2020.(SCI, IF: 10.215).
[7]Dayu Tan, Weimin Zhong*,Chao Jiang, Xin Peng, and Wangli He. High-Order Fuzzy Clustering Algorithm Based on Multikernel Mean Shift.Neurocomputing, 385, 63-79, 2020.(SCI, IF: 5.719).
[8]Huifen Hong,Chao Jiang, Xin Peng*, and Weimin Zhong*. Concurrent Monitoring Strategy for Static and Dynamic Deviations Based on Selective Ensemble Learning Using Slow Feature Analysis.Industrial & Engineering Chemistry Research, 59 (10), 4620-4635, 2020.(SCI, IF: 3.720).
[9]Haojie Huang, Xin Peng,Chao Jiang, Zhi Li, and Weimin Zhong*. Variable-Scale Probabilistic Just-In-Time Learning for Soft Sensor Development with Missing Data.Industrial & Engineering Chemistry Research, 59 (11), 5010-5021, 2020.(SCI, IF: 3.720).
[10]Xin Chen, Weimin Zhong,Chao Jiang, Zhi Li, Xin Peng*, Hui Cheng*. Key Performance Index Estimation Based on Ensemble Locally Weighted Partial Least Squares and Its Application on Industrial Nonlinear Processes.Chemometrics and Intelligent Laboratory Systems,doi: 10.1016/j.chemolab.2020.104031, 2020.(SCI, IF: 3.491).
