I'm Dongmin Li, a Ph. D. candidate advised by Dr. Xiaochen Xian at H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology. My Ph.D. research topic is complex system modeling, monitoring, and decision making.
Contact: dli664@gatech.edu
See my CV here!
Dongmin is on the academic job market for the 2025-2026 cycle!
I will be attending the 2025 INFORMS Annual Meeting and presenting at the following sessions:
QSR Best Student Paper Competition: Theoretical Analysis and Design of an Online Monitoring and Sampling Scheme Under Partial Observations
Time: Sunday, October 26 , 2:45 PM - 4:00 PM
Location: Building B Level 4 B402
Job Market Showcase: Theoretical Analysis and Design of an Online Monitoring and Sampling Scheme Under Partial Observations
Time: Monday, October 27, 1:15 PM - 2:30 PM
Location: Building A Level 3 A313
Data-Driven Modeling and Decision-Making for System Prediction and Monitoring: On-Demand Machine Learning for Resource-Constrained Classification
Time: Tuesday, October 28, 4:15 PM - 5:30 PM
Location: Building A Level 3 A303
Ph.D. Industrial Engineering, University of Florida, 2024
Advisor: Dr. Xiaochen Xian
Concentration: System Informatics and Control
Minor: Machine Learning
Dissertation Title: Data-Driven Prediction and Adaptive Decision-Making for Sequential Monitoring of Complex Systems
Industrial and Systems Engineering, University of Florida, May 2021 – Aug 2024
M.S. Statistics, University of Chinese Academy of Sciences, Sep 2017 – Jun 2020
B.S. Mathematics and Applied Mathematics, Dalian University of Technology, Sep 2013 – Jun 2017
Selected Honors & Awards
Best Student Paper Award Finalist, Quality, Statistics and Reliability Section, 2025 INFORMS Annual Meeting, for the paper “Theoretical Analysis and Design of an Online Monitoring and Sampling Scheme Under Partial Observations”, 2025
Best Student Paper Award Finalist, Data Mining Society, 2024 INFORMS Annual Meeting, for the paper “A Bayesian Jump Model-based Pathwise Sampling Approach for Online Anomaly Detection”, 2024
Best Referred Paper Award Finalist, Quality, Statistics and Reliability Section, 2021 INFORMS Annual Meeting, for the paper “Data-driven Pathwise Sampling Approaches for Online Anomaly Detection”, 2021
Data Challenge Competition Award Finalist, Quality, Statistics and Reliability Section, 2021 INFORMS, for the competition “In-Situ Quality Process Monitoring in Additive Manufacturing”, 2021
Feature Article in Advances in Engineering, “Data-driven Pathwise Sampling Approaches for Online Anomaly Detection”, 2024
Future Faculty Fellow, Institute for Industrial and Systems Engineers (IISE), 2024
Best Paper Award, Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling & International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, for the paper “Statistical Inference for Mt/G/Infinity Queueing Systems Under Incomplete Observations”, 2018