Lingxiang Albert Yun

Dr. Lingxiang (Albert) Yun is a tenure-track Assistant Professor in the Department of Industrial and Systems Engineering at the University of North Carolina at Charlotte since June 2025. Previously, he served as a tenure-track Assistant Professor at Texas A&M University-Corpus Christi (2023-2025) and held research roles at the University of Illinois Chicago (2018-2023). His research bridges artificial intelligence, optimization, and systems engineering to address challenges in modern manufacturing, energy systems, and sustainable operations.

• 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)

Research focuses on three pillars: Energy Systems Management (smart microgrids, electric mobility integration, grid resilience), Deep Reinforcement Learning (DRL) for Manufacturing (adaptive control, transferable algorithms, real-time optimization), and Generative AI for Design (reinforcement learning-guided diffusion models for protein engineering and drug discovery).

His 12 recent publications span DRL applications in energy-flexible manufacturing, cloud remanufacturing logistics, and AI-augmented demand response frameworks. Key trends include interdisciplinary AI integration, resilient energy systems, and generative design optimization.

• Best Paper Award, IISE Annual Conference (2025)
• TEES Research Collaborations Award (2024)
• US Department of Transportation grant for safety analysis in Corpus Christi

As principal investigator for Texas A&M's Research Enhancement Program and co-investigator on multiple grants, he leads the IDEA Lab, which develops data-driven decision-making frameworks for smart manufacturing and energy systems. Teaching includes IEEN 2302 Engineering Economics, IEEN 3302 Operations Research, and CEEN 5322 Optimization.