Biography

Xueping Li is a Professor and Dan Doulet Faculty Fellow in the Department of Industrial and Systems Engineering, Co-Director of the Health Innovation Technology and Simulation (HITS) Lab, and the Director of the Ideation Laboratory (iLab) at the University of Tennessee – Knoxville. His research areas include complex system modeling, simulation, and optimization, with broad applications in supply chain logistics, healthcare, and energy systems.

Li’s research has been sponsored by federal agencies, including NSF, NIH, DOE, and HRSA, as well as a variety of industry partners. He holds 9 creation disclosures with the University of Tennessee Research Foundation. He is an IISE Follower, a member of IEEE and INFORMS, and the former President of the Modeling of Simulation Division of IISE (2019-2020). Li is a member of the UT faculty senate (2020-2023) and a UT One Health Scholar.

Education

• PhD, Industrial Engineering, Arizona State University
• MS, Computer Science, Nankai University
• BS, Automatic Control & Computer Science, Nankai University

Courses Taught

• Simulation
• Information System Analysis and Design
• Design Project
• Advanced Applications of Systems Modeling and Simulation
• Healthcare Systems Engineering
• Optimization via Simulation
• Advanced Information & Systems Analysis and Design
• Process Improvement Through Planned Experimentation
• Senior Problems Analysis

Professional Service

• President, Modeling and Simulation (M&S) Division, Institute of Industrial and Systems Engineering (2019-2020)
• Sponsorship Chair, Winter Simulation Conference (2019)
• Faculty Advisor, Alpha Pi Mu Honor Society
• Faculty Advisor, SASE (Society of Asian Scientists and Engineers)
• Founding Board Director, Modeling and Simulation (M&S) Division, Institute of Industrial and Systems Engineering (2016-2017)
• Modeling and Simulation (M&S) Track Chair (2017, 2015), Institute of Industrial and Systems Engineering Annual Conference & Expo
• Program Committee, Supply Chain Logistics Track, Winter Simulation Conference (2016-present)

Awards & Recognitions

• Chancellor’s Research and Creative Achievement Award, UTK, 2023
• Fellow, IISE, 2023
• Harvey J. Greenberg Research Award, “A Machine Learning-Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction”, INFORMS Computing Society, 2022
• Dan Doulet Faculty Fellow, (2021)
• Fellow, Center for Transportation Research, UT, 2018
• Best Paper Award, Supply Chain Logistics Track, Industrial & Systems Engineering Research Conference (IISE 2018)
• 1^st  Place, IISE DAIS Mobile App Competition, “Speak For Myself” App, (IISE 2018)
• Outstanding Teaching Award, College of Engineering, UT, 2016
• Best Paper Award, Modeling & Simulation Track, Industrial & Systems Engineering Research Conference (ISERC 2015)
• Translational Research Award, COE, University of Tennessee, 2013

Research Publications

1. Google Scholar
2. ORCID