Join us in welcoming Shancong Mou, an assistant professor in the Department of Industrial and Systems Engineering at the University of Minnesota, Twin Cities, to the Department of Industrial and Systems Engineering Graduate Seminar.

Dr. Mou will present his seminar titled "AI/ML-enabled Data Fusion for Complex Engineering Systems." He will start with an overview of the research landscape, followed by a discussion on AI/ML-enabled data fusion, demonstrated through several key examples:

· Surface quality monitoring in personal electronics manufacturing, using robust learning for label-efficient monitoring of high-dimensional data.

· Quality and productivity improvement in composite fuselage assembly, a critical process in modern airplane manufacturing, utilizing PDE-constrained optimization for design and optimal control.

· Energy-Efficient Operation Optimization for Large-Scale HVAC Systems Using Modular Physics-Informed Neural Networks.