
About
Lu He is an Instructor of Supply Chain Logistics at the College of Business, Mississippi State University. He holds a Ph.D. in Industrial and Systems Engineering (SUNY Binghamton, 2020), an MS in Industrial and Systems Engineering (SUNY Binghamton, 2015), and a BM in Logistics Management (Southeast University, 2014). His research focuses on healthcare operations optimization, machine learning applications in clinical decision-making, supply chain resilience, and wearable robotics. Notable contributions include surgical scheduling algorithms, predictive models for patient readmissions, and disaster inventory management frameworks. His work bridges operations research and healthcare analytics to improve system efficiency and patient outcomes.
Publications span healthcare technology, disaster planning, and urban crime modeling. He has collaborated on projects involving neural networks for medical signal processing and agent-based simulations. While no awards are listed, his interdisciplinary research demonstrates expertise in applying advanced analytical methods to real-world challenges. He advises in the areas of supply chain logistics and healthcare systems, with a focus on practical implementation through optimization and data-driven approaches.
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