Shenghao Xia

Assistant Professor
Phone: 419-372-7488
Email: sxia@bgsu.edu
Address: Office: 423 Mitchell B. McLeod Hall
Department of Mathematics and Statistics
Bowling Green State University
Bowling Green, OH 43403-0206
Research Interests
o Spatial-temporal Data Analysis
o Machine Learning
o High Dimensional Data Analysis
o Bayesian Inference
o Explainable AI
o Nonparametric Statistics
o Statistical Process Control
Education
o Ph.D., Statistics and Data Science, University of Arizona
o M.S., Industrial Engineering, University of Arizona
o M.S., Statistics, University of Arizona
Selected publications
o Xia, S., Zhang, Y., Zhang, B., Liu, J. (2025) “Robust Unsupervised Video Foreground Segmentation Via Penalized Bayesian Tensor Factorization.” 2025 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (Accepted) (Outstanding Paper Award).
o Nishat, T., Xia, S., Liu, J., Jo, H. (2025) “Reinforcement Learning for Adaptive Battery Management of Structural Health Monitoring IoT Sensor Network.” Applied Energy.
o Xia, S., Liu, J., Lansey, K. (2025) “Penalized Spatial-Temporal Component Analysis for Detecting and Localizing Bursts in Water Distribution Systems.” Information Fusion.
o Xia, S., Nishat, T., Jo, H., Liu, J. (2025) “Regularized Tensor Completion for Structural Health Monitoring Data Imputation.” 2025 11th International Conference on Computing and Artificial Intelligence
o Zhang, Y., Xia, S., Liu, J., Lansey, K. (2024) “Penalized Functional Decomposition for Detecting Bursts in Water Distribution Systems.” Journal of Water Resources Planning and Management.
o Zhang, Y., Xia, S., Zhang, B., Liu, J. (2024) “Regularized Optical Flow for Detecting Moving Foreground from Videos Taken by Steady-Moving Cameras.” 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE).
o Xia, S., Liu, J., Shufen, W. (2024) “Data-fusion-based quality enhancement for HR measurements collected by wearable sensors.” Sensors.
o Zhang, Y., Xia, S., Zhang, B., Liu, J. (2023) “Detecting Moving Objects from Moving Background by Optical Flow Decomposition.” 2023 IEEE 30th International Conference on Industrial Engineering and Engineering Management (IEEM) (Shortlist of Best Paper Top 4%).
o Xia, S., Zhang, Y., Zhang, B., Liu, J. (2023). “Detecting Foreground in Videos via Posterior Regularized Robust Bayesian Tensor Factorization”. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE).
o Velasco J., Xia, S., Shufen, W. (2023) “Nutritional Status, Quality of Life, and Health Perception Among Heart Failure Patients With and Without Dysphagia.” Heart & Lung: The Journal of Cardiopulmonary and Acute Care.
Updated: 12/21/2025 12:26PM