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My current research focuses on Systems Informatics and Control, with two central themes: modeling and optimization.
Modeling/Learning: I develop AI and machine-learning methods that integrate domain-specific knowledge—including data structures, physical laws, and engineering principles—with in situ sensor data to improve the modeling and understanding of complex systems.
Optimization: My group develops new algorithms to support decision-making in complex systems, including design optimization, control, and related applications.
Our core methodological areas include operations research, machine learning, and computational science, with applications in aerospace manufacturing, semiconductor manufacturing, HVAC system, and other domains, funded by the National Science Foundation, Apple, Boeing Company, Samsung and OG Technologies.
Publications (organized by topic):
Methdology
Methdology
Modeling/Learning
Modeling/Learning
The Eleventh International Conference on Learning Representations (ICLR 2023) (Presentation)
Mou, S., Gu, X., Cao, M., Bai, H., Huang, P., Shan, J., & Shi, J. 2023.
2023 IISE QCRE Best Track Paper Award Winner
INFORMS Journal on Data Science https://doi.org/10.1287/ijds.2022.0023
Mou, S., Shi, J.* 2022.
2022 IISE DAIS Best Track Paper Award Finalist
IISE Transactions https://doi.org/10.1080/24725854.2022.2163435.
Mou, S., Cao, M., Bai, H., Huang, P., Shi, J.*, Shan, J. 2022.
IEEE Transactions on Automation Science and Engineering https://doi.org/10.1109/TASE.2021.3096964
Mou, S., Wang, A., Zhang, C., & Shi, J.* 2021.
2021 IISE DAIS Best Student Paper Award Finalist
Technometrics https://doi.org/10.1080/00401706.2023.2271060
Zhang. Z.†, Mou, S., Paynabar, K., Shi, J., 2023.
2023 INFORMS QSR Best Student Paper Award Winner
Federated Multiple Tensor-on-Tensor Regression
Technometrics.https://www.tandfonline.com/doi/full/10.1080/00401706.2024.2333506
Zhang, Z., Mou, S., Reisi, M., Pacella, M., Shi, J., 2023.
Optimziation
Optimziation
Applications
Applications
Computer vision/Industrail inspection
Computer vision/Industrail inspection
The Eleventh International Conference on Learning Representations (ICLR 2023) (Presentation)
Mou, S., Gu, X., Cao, M., Bai, H., Huang, P., Shan, J., & Shi, J. 2023.
2023 IISE QCRE Best Track Paper Award Winner
INFORMS Journal on Data Science https://doi.org/10.1287/ijds.2022.0023
Mou, S., Shi, J.* 2022.
2022 IISE DAIS Best Track Paper Award Finalist
IISE Transactions https://doi.org/10.1080/24725854.2022.2163435.
Mou, S., Cao, M., Bai, H., Huang, P., Shi, J.*, Shan, J. 2022.
IEEE Transactions on Automation Science and Engineering https://doi.org/10.1109/TASE.2021.3096964
Mou, S., Wang, A., Zhang, C., & Shi, J.* 2021.
2021 IISE DAIS Best Student Paper Award Finalist
Technometrics https://doi.org/10.1080/00401706.2023.2271060
Zhang. Z.†, Mou, S., Paynabar, K., Shi, J., 2023.
2023 INFORMS QSR Best Student Paper Award Winner
Federated Multiple Tensor-on-Tensor Regression
Technometrics.https://www.tandfonline.com/doi/full/10.1080/00401706.2024.2333506
Zhang, Z., Mou, S., Reisi, M., Pacella, M., Shi, J., 2023.
Design and optimization of complex physical systems with applications in advanced manufacturing
Design and optimization of complex physical systems with applications in advanced manufacturing
Scientific machine learning, PDE constrained optimization, numerical methods in PDE and Tensor Decomposition.(Note: † indicates a student I mentored.)
Develop physics-informed machine learning/PDE-constrained optimization algorithms to synergize physical knowledge and process data with applications in process control, quality engineering, and design optimization of multistage manufacturing systems.
IISE Transactions https://doi.org/10.1080/24725854.2022.2116133
Mou, S., Biehler. M., Yue, X.*, Hunt, J. H., Shi, J. 2022.
2022 IISE DAIS Best Student Paper Award Finalist
arXiv preprint https://arxiv.org/abs/2306.07890.
Bai, H., Mou, S., Likhomanenko, T., Cinbis, R. G., Tuzel, O., Huang, P., Shan, J., Shi, J., Cao, M. 2023.
IISE Transactions https://doi.org/10.1080/24725854.2022.2102272
Zhong, Z., Mou, S.*, Hunt, J. H., Shi, J., 2022.
ASME Transactions, Journal of Manufacturing Science and Engineering https://doi.org/10.1115/1.4053501
Zhong, Z., Mou, S., Hunt, J. H., Shi, J.*, 2021.
Effect of Inlet Swirl Flow on the Migration of Hot Spots and End Wall Slot Leakage Flow
Journal of Engineering Thermophysics (in Chinese).
Wang, Z., Mou, S., Wang, Z., Feng, Z.*, 2019.
Numerical Heat Transfer, Part B: Fundamentals https://doi.org/10.1080/10407790.2017.1338096
Mou, S., Luan, Y., Ji, W.*, Tao, W., 2017.
IISE Transactions.
Wang, Y.†, Mou. S., Shi, J., Zhang, C. 2024
Cycle consistent PIML for forward and inverse problems
INFORMS Journal on Data Science, working paper to be submitted.
Mou, S., Yang. S., Shi, J., 2025+
Stochastic systems
Stochastic systems
Applied probability, Queuing theory
(Note: ‡ indicates equal contribution.)
Proceedings of the ACM on Measurement and Analysis of Computing Systems
Chen, Z.‡, Mou, S.‡, Maguluri, S. T., 2022.
Advances in Applied Probability, To Appear.
Mou, S.*, Maguluri, S. T., 2023.
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