Embedded Files
I am an Assistant Professor in the Department of Mathematics and Statistics at Bowling Green State University (BGSU). I earned my Ph.D. in Statistics and Data Science (2025), along with two M.S. degrees in Industrial Engineering and in Statistics, from the University of Arizona.
My research focuses on interpretable statistical machine learning at the intersection of statistics, data science, and optimization, with applications in engineering systems, transportation, and healthcare. I also pursue theoretical work that advances methodological foundations beyond specific application domains.
Ph.D. student opportunities (Spring/Fall 2026): I am currently recruiting Ph.D. students to begin in Spring or Fall 2026. Students with backgrounds in statistics, computer science, engineering, or related fields are encouraged to apply. If you are interested, please email me your CV (and, if available, transcripts and/or a writing sample or publications). Additional information is available through the Ph.D. programs in Statistics and Data Science.
Recent News
Recent News
o December 2025: Our paper “Robust Unsupervised Video Foreground Segmentation Via Penalized Bayesian Tensor Factorization” has been accepted for the 2025 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). And has been honored with the Outstanding Paper Award.
o July 2025: Our paper “Reinforcement Learning for Adaptive Battery Management of Structural Health Monitoring IoT Sensor Network” has been published in Applied Energy.
o May 2025: Our paper “Penalized Spatial-Temporal Component Analysis for Detecting and Localizing Bursts in Water Distribution Systems” has been published in Information Fusion.
o March 2025: Our paper “Regularized Tensor Completion for Structural Health Monitoring Data Imputation” has been published in 2025 11th International Conference on Computing and Artificial Intelligence.
Page updated
Google Sites
Report abuse