معرفی
Cheol Lee is a Professor in the Department of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn. His research focuses on sustainable food systems and eco-friendly industries, leveraging advanced control systems and optimization techniques. Since 2023, he leads a USDA-NIFA-funded $1.2M collaborative project on smart thermal processing of food. His academic journey includes a PhD in Mechanical Engineering from Purdue University and industry experience at Saint-Gobain.
His interdisciplinary research bridges engineering and neuroscience, exploring brain dynamics through EEG analysis and network science. Recent studies investigate anesthesia effects, chronic pain mechanisms, and criticality in neural networks. Key contributions include frameworks for understanding consciousness transitions, delirium pathways, and network-based interventions for neurological disorders.
Research interests span: sustainable industrial systems, reduced-order modeling, brain network criticality, and anesthetic state transitions. Notable projects include exploring cortical hypersensitivity in sickle cell disease and developing wearable EEG systems for clinical applications.
His work integrates mathematical principles with empirical neuroscience, addressing topics like neuroplasticity, functional connectivity, and systems-level resilience in neural and economic crises. Current studies emphasize translational applications, such as caffeine-based interventions for postoperative delirium and computational models for brain modulation.
