CV
Education
- Ph.D in Industrial Engineering and Operations Research , University of Illinois Chicago, 2023
- M.S. in Environmental Engineering, University of California, Irvine, 2017
- B.S. in Environmental and Resource Science, Zhejiang University, China, 2015
Work experience
- Tenure-track Assistant Professor: Jun. 2025 - present
- Department of Industrial and Systems Engineering
- University of North Carolina at Charlotte
- Tenure-track Assistant Professor: Sep. 2023 - May 2025
- Department of Engineering
- Texas A&M University-Corpus Christi
- Research Assistant: Sep.2018 - Jun.2023
- Department of Mechanical and Industrial Engineering
- University of Illinois Chicago
Research Interests
- Subjects:
- Renewable Energy Integration and Energy Management
- Sustainable and Advanced Manufacturing Systems
- Supply Chain Management
- Generative AI for interdisciplinary system innovation
- Methodologies:
- Machine Learning and Reinforcement Learning
- Operations Research and Optimization
- Data-driven System Simulation and Analysis
Funded Grants
- PI. Deciphering Electricity Demand Profiles for Smart Load Management (Sponsor: Texas A&M University-Corpus Christi Research Enhancement Funding Program).
- Co-PI. Intelligent EV Charging Coordination During Natural Disasters for Grid Resiliency (Sponsor: Texas A&M Engineering Experiment Station).
- Co-PI. Towards Vision Zero: Resilient Digital-twin Enhanced Safety Analysis for Corpus Christi (Sponsor: US Department of Transportation)
Recent Publications
Recent Talks
Transferable Deep Reinforcement Learning for Adaptive Control Across Varying Manufacturing System Configurations
Conference proceedings talk at IISE Annual Conference & Expo 2025, Atlanta, GA, USA
Leveraging Machine Learning for Advanced Demand-Side Electricity Management
Conference session chair at 2024 INFORMS Annual Meeting, Seattle, WA, USA
Enhancing Low-Carbon Routing Through Additive Manufacturing of Reconfigurable Products: An Exploratory Study
Conference proceedings talk at 2024 MSEC Manufacturing Science & Engineering Conference, Knoxville, TN, USA
Intelligent EV Charging Coordination During Natural Disasters for Grid
Conference proceedings talk at 2024 TEES Annual Research Conference, College Station, TX, USA
Comparison of reinforcement learning methods for production control in discrete manufacturing systems
Conference proceedings talk at 2023 MSEC Manufacturing Science & Engineering Conference, New Brunswick, NJ, USA
Data-driven Demand Response Energy Management for Sustainable and Smart Manufacturing
Invited talk at Department Mechanical Engineering, University of Utah, Salt Lake City, UT, USA
Teaching
Service
- Conference Chair, INFORMS 2024 Annual Meeting
- Grant Panelist, 2023/2024 TAMU-CC Seed Grant
- Journal paper reviewer for 13 journals
- Organizer of the 2024 Coastal Bend Engineering Competition
Awards
- IISE Best paper award in Manufacturing and Design track (2025)
- Texas A&M Engineering Experiment Station (TEES) Research Collaborations Award (2024)