Economic Operation

Economic operation research focuses on optimizing resource allocation and efficiency across diverse systems, from industrial processes and energy grids to healthcare and transportation networks. Current research emphasizes developing and applying advanced machine learning models, including reinforcement learning and gradient boosting techniques, to improve predictive capabilities and decision-making in these complex systems. This work aims to enhance operational efficiency, reduce costs, and improve outcomes, with applications ranging from optimizing the US nuclear fleet to improving patient care in hospitals and streamlining supply chains in retail.