个人简历

教育与工作经历\r
1987~1992 清华大学化学工程系 本科\r
1992~1994 清华大学化学工程系 硕士\r
1993-1997 清华大学化学工程系 博士\r
1997~2001 美国普渡大学化工系 博士后\r
2001~2001 美国Day & Zimmermann 公司 高级工程师\r
2001~2005 美国AET公司 高级MES工程师\r
2005~2008 北京化工大学信息学院 教授\r
2008~至今 清华大学化学工程系 教授\r
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主要学术任职\r
2022年~至今　　中国工程师联合体文化与伦理委员会，副主任委员\r
2019年~至今　　中国化工学会工程伦理教育工作委员会，主任委员\r
2012年~至今　　中国系统工程学会过程系统工程专业委员会 副主任会员\r
2016年~至今　　中国公共安全科学技术学会预测预警专业工作委员会 副主任委员\r
2019年~至今　　国家生态环境部第一届生态环境应急专家组专家\r
2019年~至今　　《中国化工学报》英文版副主编\r
2017年~至今　　国际期刊《Process Safety and Environmental Protection》 专题主编\r
2015年~至今　　国际期刊《Computers & Chemical Engineering》编委\r
2015年~至今　　中国运筹学会智能工业数据解析与优化专业委员会 常务理事\r
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学术荣誉与奖励\r
清华大学教学成果一等奖（第一获奖人，2021）\r
清华大学先进工作者（2012-2013）\r
中国石油和化学工业联合会科技进步一等奖（第一获奖人，2013）\r
中国石油和化学工业联合会科技进步二等奖（第一获奖人，2016）\r
中国石油和化学工业联合会中国石油和化学工业优秀出版物奖.教材奖一等奖（2016）\r
中国石油和化学工业联合会中国石油和化学工业优秀出版物奖.图书奖一等奖（2020）

研究领域

"长期从事化工过程安全理论和方法研究。综合运用化学工程基本原理与大数据技术和人工智能技术，发展化工安全新理论、新方法与新工具，促进化工安全智能化发展。"

近期论文

Yiming Bai, Jinsong Zhao*. A novel transformer-based multi-variable multi-step prediction method for chemical process fault prognosis. Process Safety and Environmental Protection, 2023, 169:937-947\r
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Ruoshi Qin， Jinsong Zhao*. Adaptive multiscale convolutional neural network model for chemical process fault diagnosis, Chinese Journal of Chemical Engineering, 2022，50：412-422\r
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赵泽恒，赵劲松*. 基于破坏性实验和自动编码器的风机皮带剩余寿命预测。清华大学学报（自然科学版），2022，62（9）：1458-1466\r
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Yuman Yao, Yiyang Dai*, Jinsong Zhao*. An enhanced dynamic artificial immune system based on simulated vaccine for early fault diagnosis with limited data. Process Safety and Environmental Protection. 2022，165：908-919\r
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Shaodong Zheng and Jinsong Zhao*. A Self-Adaptive Temporal-Spatial Self-Training Algorithm for Semisupervised Fault Diagnosis of Industrial Processes. IEEE Transactions on Industrial Informatics, 2022；18（10）： 6700-6711\r
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Shaodong Zheng, Jinsong Zhao*. High-fidelity positive-unlabeled deep learning for semi-supervised fault detection of chemical processes. Process Safety and Environmental Protection, 2022; 165:191-204\r
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Xiaotian Bi, Ruoshi Qin, Deyang Wu, Shaodong Zheng, Jinsong Zhao*. One Step forward for smart chemical process fault detection and diagnosis. Computers & Chemical Engineering. 2022, 164: 107884\r
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Shuaiyu Xiang, Yiming Bai, Jinsong Zhao. Medium-term prediction of key chemical process parameter trend with small data. Chemical Engineering Science, 2022, 249: 117361\r
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Bingyu Wang, Jinsong Zhao. Automatic Frequency Estimation of Contributory Factors for Confined Space Accidents. Process Safety and Environmental Protection, 2022; 157：193-207\r
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Xiaotian Bi, Jinsong Zhao. A novel orthogonal self-attentive variational autoencoder method for interpretable chemical process fault detection and identification.Process Safety and Environmental Protection, 2021; 156:581-597\r
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Deyang Wu, Jinsong Zhao. Process topology convolutional network model for chemical process fault diagnosis. Process Safety and Environmental Protection, 2021；150：93-109\r
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赵劲松，粟镇宇，贺丁，袁志涛等.《化工过程安全管理》，北京：化学工业出版社，2021\r
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赵劲松*，邱彤，陈丙珍。工程伦理教育在工科通识教育中的作用和实践。自然辩证法通讯。 2021；43（1）：115-120\r
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秦若时，赵劲松*。新冠肺炎疫情背景下工程伦理教育的教学探究与实践延伸。化工高等教育。2020；6：1-6\r
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Hao Wu, Jinsong Zhao*. Self-adaptive deep learning for multimode process monitoring. Computers & Chemical Engineering. 2020；141: 107024\r
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Shaodong Zheng, Jinsong Zhao*. A new unsupervised data mining method based on the stacked autoencoder for chemical process fault diagnosis. Computers & Chemical Engineering. 2020；135: 106755\r
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Hao Wu, Jinsong Zhao*. Fault detection and diagnosis based on transfer learning for multimode chemical Processes. Computers & Chemical Engineering. 2020；135: 106731\r
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Qiaoling Chen, Maureen Wood, Jinsong Zhao*. Case study of the Tianjin accident: Application of barrier and systems analysis to understand challenges to industry loss prevention in emerging economies. Process Safety and Environmental Protection. 2019；131: 178-188\r
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Feifan Cheng, Q. Peter He*, Jinsong Zhao*. A novel process monitoring approach based on variational recurrent autoencoder. Computers & Chemical Engineering. 2019; 129:1-13\r
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Hao Wu, Deyang Wu, Jinsong Zhao*. An intelligent fire detection approach through cameras based on computer vision methods. Process Safety and Environmental Protection. 2019; 127:245-256\r
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Hao Wu, Jinsong Zhao*. An intelligent vision-based approach for helmet identification for work safety. Computers in Industry. 2018; 100:267-277\r
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Hao Wu, Jinsong Zhao*. Deep convolutional neural network model based chemical process fault diagnosis. Computers & Chemical Engineering. 2018; 115:185-197\r
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Hao Wu, Penarrubia Igor, Lin Cui, Jinsong Zhao*. Process safety management considerations for biofuel production. Frontiers of Engineering Management. 2017; 4(3): 357-367\r
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Zhanpeng Zhang, Jinsong Zhao*. A deep belief network based fault diagnosis model for complex chemical processes. Computers & Chemical Engineering. 2017; 107:395-407\r
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Yiyang Dai, Hangzhou Wang, Faisal Khan, Jinsong Zhao*. Abnormal situation management for smart chemical process operation. Current Opinion in Chemical Engineering. 2016; 14：49-55\r
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Yidan Shu, Liang Ming, Feifan Cheng, Jinsong Zhao*. Abnormal situation management: Challenges and opportunities in the big data era. Computers & Chemical Engineering. 2016; 91：104-113\r
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Yidan Shu, Jinsong Zhao*. Fault diagnosis of chemical processes using artificial immune system with vaccine transplant. Industrial & Engineering Chemistry Research. 2016; 55:3360-3371\r
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Zhi Xia, Jinsong Zhao*. Robust Optimization of Index-2 Differential Algebraic Equations with Guaranteed Stability under Parametric Uncertainty: Application to a Reactor–Separator–Recycle Process. Industrial & Engineering Chemistry Research. 2015; 54（41）：10031-10039\r
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Bing Wang, Bingzhen Chen, Jinsong Zhao*. The real-time estimation of hazardous gas dispersion by the integration of gas detectors, neural network and gas dispersion models. Journal of Hazardous Materials. 2015; 300: 433-442\r
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Zhi Xia, Jinsong Zhao*. Steady-State Optimization of Chemical Processes with Guaranteed Robust Stability and Controllability under Parametric Uncertainty and Disturbances, Computers & Chemical Engineering. 2015; 77: 116-134\r
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赵劲松，陈网桦，鲁毅等。 《化工过程安全》，北京：化学工业出版社，2015