Professor Mou is interested in developing AI/ML techniques to fuse domain-specific knowledge (such as data structural information, physical laws, and engineering knowledge) and in-situ sensing data, to enhance the modeling and decision-making for complex systems, with applications in personal electronics, semiconductor, aerospace and healthcare industries. Methodically, his research intersects high-dimensional statistics, optimization, machine learning, and engineering science. Key areas of interest include: (1) Robust machine learning; (2) Meta-learning; and (3) Physics informed machine learning. He is also interested in the analysis of stochastic systems using tools from queuing theory. He has been leading various research projects funded by governmental agencies (NSF) and leading companies (Apple, Boeing, etc.).

Shancong Mou is an Assistant Professor in the Department of Industrial and Systems Engineering at the University of Minnesota, Twin Cities. He received his Ph.D. in Industrial Engineering from the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech in 2024, advised by Prof. Jianjun Shi. He also holds an M.S. in Computational Science and Engineering from Georgia Tech. He obtained his B.Eng. in Energy and Power Engineering from Xi'an Jiaotong University, China. 

His research interest is in AI/ML-enabled data analytics for quality and productivity improvement in complex engineering systems. 

More information can be found on his personal website: https://sites.google.com/view/shancongmou

Education

Ph.D. in Industrial Engineering, Georgia Tech, 2024
M.S. in Computational Science and Engineering, Georgia Tech, 2024
B.Eng. in Energy and Power Engineering, Xi'an Jiaotong University, 2017

Scientific & Professional Societies

Honors and Awards

Best Paper Awards 
1. Best Track Paper Award (Winner), QCRE Division of IISE (2023) 
2. Best Student Paper Award (Winner), QSR Section of INFORMS (2022) 
3. Best Track Paper Award (Finalist), DAIS Division of IISE (2022) 
4. Best Student Paper Award (Finalist), DAIS Division of IISE (2022) 
5. Best Student Paper Award (Finalist), DAIS Division of IISE (2021) 

Teaching Award 
6. Outstanding Graduate Student Instructor of the Year Award, School of ISyE, Georgia Institute of Technology (2022) 

Research Awards and Scholarships 
7. Mary G. and Joseph Natrella Scholarship, Quality and Productivity Section, American Statistical Association (2024) 
8. John S.W. Fargher Jr. Scholarship, Institute of Industrial and Systems Engineering (2023) 
9. Angela P. and Reed J. Baker Research Excellence Award, School of ISyE, Georgia Institute of Technology (2023)