Rate My Professor Hasan Turan

Dr. Turan’s research focuses on the development and application of data-driven optimization algorithms and simulation models in areas such as service and maintenance logistics, defense applications including fleet management, workforce, and resource planning, energy capacity expansion, and telecommunications networks. He integrates machine learning techniques like reinforcement learning, artificial intelligence, and computational intelligence methods such as genetic algorithms with simulation models, including discrete event and system dynamics simulations, to address complex decision-making problems. With 46 journal articles, 39 conference papers, 7 book chapters, 1 report, and other outputs, his contributions advance simulation-based optimization and decision-making in defense and logistics. Notable publications include "Machine learning integrated multi-objective simulation-based optimization for a personnel planning, asset management and fleet renewal problem" (Computers and Industrial Engineering, 2026), "Advanced mission engineering approach for diverse applications in the defense domain" (Journal of Defense Modeling and Simulation, 2025), "MBSE for robust decision support systems: A resilient, mission-centric reference model" (Digital Engineering, 2025), and "The future of military medical evacuation: literature analysis focused on the potential adoption of emerging technologies and advanced decision-analysis techniques" (Journal of Defense Modeling and Simulation, 2025). He is guest editor for a special issue on recent advances in simulation-based optimization at Annals of Operations Research, an editorial board member of Journal of Business Analytics, and a committee member for leading international conferences on modeling, simulation, information technology, and management science.