Juan DU 杜娟
Juan DU 杜娟 Details
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Prof Juan DU holds a Ph.D. degree in Management Science and Engineering from the Department of Industrial Engineering & Management at Peking University and a BEng in Composite Materials and Engineering from Honors School of Harbin Institute of Technology. She had been a Visiting/Join PhD Student at H. Milton Stewart School of Industrial & Systems Engineering of Georgia Tech from 2017.9-2019.9 during her PhD study. She worked as Assistant Professor at Department of Industrial Engineering & Management at Shanghai Jiao Tong University, Shanghai, China before joining the Smart Manufacturing Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou) as Assistant Professor in 2021.
Her research interest focuses on data analytics and system informatics and control for performance improvements in complex systems. The objective is to develop system-level fusion of data science (machine learning, statistics, signal processing), optimization (operation research) and control to realize process monitoring, prognostics, diagnosis, control and intelligent decision making.
Research Interests
Biography
Prof Juan DU holds a Ph.D. degree in Management Science and Engineering from the Department of Industrial Engineering & Management at Peking University and a BEng in Composite Materials and Engineering from Honors School of Harbin Institute of Technology. She had been a Visiting/Join PhD Student at H. Milton Stewart School of Industrial & Systems Engineering of Georgia Tech from 2017.9-2019.9 during her PhD study. She worked as Assistant Professor at Department of Industrial Engineering & Management at Shanghai Jiao Tong University, Shanghai, China before joining the Smart Manufacturing Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou) as Assistant Professor in 2021.
Her research interest focuses on data analytics and system informatics and control for performance improvements in complex systems. The objective is to develop system-level fusion of data science (machine learning, statistics, signal processing), optimization (operation research) and control to realize process monitoring, prognostics, diagnosis, control and intelligent decision making.