朱理，博士、副教授。本科毕业于大连理工大学控制科学与工程学院，于浙江大学获工学博士学位，曾在瑞典隆德大学自动控制系进行博士后研究工作。

主要研究方向包括：能源效率评估与诊断、过程监测与软测量、数据挖掘与过程知识发现、工业人工智能系统与技术等。主持/参与国家自然科学基金项目、国家高技术研究发展计划、国家重点研发计划、辽宁省自然基金资助计划以及企业横向项目等10余项。在高水平期刊与顶级会议上发表学术论文30余篇，授权国家发明专利6项，登记软件著作权6项。曾任国际标准化组织ISO TC184/SC5专家组成员。

欢迎有意向从事相关研究工作的同学加入课题组！

zhuli@dlut.edu.cn

[1][Papers]Zhu, Li.Li, Zhe,Chen, Junghui.Evaluating and Predicting Energy Efficiency Using Slow Feature Partial Least Squares Method for Large-scale Chemical Plants[J],2021,230:1-14

[2][Papers]Zhu, Li.Chen, Junghui.Energy efficiency evaluation and prediction of large-scale chemical plants using partial least squares analysis integrated with Gaussian process models[J],EI、SCIE、SSCI、Scopus,2019,195:690-700

[3][Papers]Zhu, Li.Chen, Junghui.Development of energy efficiency principal component analysis model for factor extraction and efficiency evaluation in large-scale chemical processes[J],SCIE、SSCI、EI,2019,43(2):814-828

[4][Papers]Zhu, Li.Chen, Junghui.A dynamic approach to energy efficiency estimation in the large-scale chemical plant[J],EI、SCIE、SSCI,2019,212:1072-1085

[5][Papers]Zhu, Li.Chen, JH (reprint author), Chung Yuan Christian Univ, Dept Chem Engn, Taoyuan 32023, Taiwan..Chen, Junghui.Prognostics of PEM fuel cells based on Gaussian process state space models[J],SCIE、EI,2018,149:63-73

[6][Papers]Zhu, Li.Chen, Junghui,Chen, Chun-I.Prognostics of tool failing behavior based on auto-associative Gaussian process regression for semiconductor manufacturing[A],CPCI-S,2020:316-321

[7][Papers]Zhu Li.Li Zhe,Chen Junghui.An Industrial Process Monitoring Scheme with Moving Window Slow Feature Analysis[A],2021

[8][Papers]Zhu, Li.Johnsson, Charlotta,Mejvik, Jacob,Varisco, Martina,Schiraldi, Massimiliano.Key performance indicators for manufacturing operations management in the process industry[A],EI,2017,2017-December:969-973

[9][Papers]Zhu, Li.Mejvik, Jacob,Johnsson, Charlotta,Bengtsson, Kristofer,Pettersson, Hakan,Varisco, Martina,Schiraldi, Massimiliano M..Key Performance Indicators in Manufacturing Operations Management: A case study of the IS022400-standard applied at Volvo Cars[A],CPCI-S,2018,2018-September:1149-1152

[10][Papers]Zhu, Li.Johnsson, Charlotta,Varisco, Martina,Schiraldi, Massimiliano M..Key performance indicators for manufacturing operations management - gap analysis between process industrial needs and ISO 22400 standard[A],CPCI-S,2018,25:82-88

[11][Papers]zhuli.Yu, Meng-Qin,Chen, Junghui.A Cyber-Physical monitoring and diagnosis scheme of energy consumption in Plant-Wide chemical processes[J],289

[12][Papers]Li, Zhe.zhuli,Chen, Junghui.Adaptive two-dimensional subspace identification for monitoring batch processes with limited batch data.[J],2024

[13][Papers]zhuli.Chen, Junghui,Chen, Chun-, I.Prognostics for Semiconductor Sustainability: Tool Failure Behavior Prediction in Fabrication Processes[J],2024

[14][Papers]Duan, Chenming.zhuli,Xu Xirong,Zhu, Jianmin,Wei, Ziqi,Yang Xin,武志超.武志超.DSTN: Dynamic Spatio-Temporal Network for Early Fault Warning in Chemical Processes[J],2024,296