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Paat Rusmevichientong is a faculty member at USC Marshall, specializing in areas such as Operations Management, Optimization, and Data Sciences. His research interests encompass dynamic programming and assortment planning, particularly in management science and operations. He has contributed significant publications that address the intricacies of revenue management problems involving heterogeneous resources and optimizing resource offerings to maximize expected revenue under constraints. His work promotes the development of policies that effectively manage inventory and customer choices while providing performance guarantees. Many of his studies utilize real-world datasets to derive practical algorithms that enhance decision-making processes in uncertain environments. Rusmevichientong's advanced courses delve into measure-theoretic probability and statistics as applied to operational analytics, offering students rigorous insights into modern analytical techniques. His educational background emphasizes a strong foundation in both theoretical elements and practical applications, making him a pivotal educator in the field of operations research at USC Marshall.
GRE is NOT required for Master's applicants for 2025-2026.