Welcome to Lu's Research Group!

Opening: The group is currently looking highly motivated PhD students for battery management projects with AI and deep learning. Please contact Dr. Lu at jay.lu@ttu.edu for sending your files (CV, research statement, transcripts, etc.) or any other inquiries.  

Biography Summary

Dr. Qiugang (Jay) Lu is an assistant professor in the Department of Chemical Engineering at Texas Tech University. He was a postdoctoral research associate at the Department of Chemical & Biological Engineering, University of Wisconsin - Madison, WI, USA, from June 2019 to July 2020. He worked as a controls development engineer at General Motors of Canada Company, Toronto, Canada, from January 2018 to March 2019.  He received Ph.D. degree in Chemical & Biological Engineering, University of British Columbia, Canada, in 2018, M.Sc. degree and B.S. degree in Control Science & Engineering, Harbin Institute of Technology, China, in 2013 and 2011, respectively.

Dr. Lu's research mainly focuses on developing advanced modeling, control, and monitoring strategies for complex dynamical processes with the integration of control theory, machine learning, and system identification. His research addresses challenges and problems of both theoretical and practical significance in process systems engineering, by delivering innovative algorithms for enabling the smart control and analytics of large-scale systems. Dr. Lu has applied algorithms and tools to diverse application domains including pulp & paper, power market, chemical reaction, vehicles, and HVAC systems. 

Research Interests

• Process data analytics, statistical process monitoring and fault diagnosis

• System identification, data-driven modeling, and advanced control 

• Machine learning for process systems engineering

• Applications to pulp & paper, energy storage systems, automotive, chemical processes, etc.