Golman Rhamanifar is a Postdoctoral Fellow in the Department of Industrial Engineering and Innovation Sciences, within the Operations Planning, Accounting & Control group at Eindhoven University of Technology.

She earned her Ph.D. from Sapienza University of Rome with highest honors (cum laude). Her doctoral thesis, titled Green Vehicle Routing and Logistics Optimization: IoT-Driven Solutions for Modern Urban Challenges, focused on innovative approaches to urban logistics and transportation.

With a foundation in transportation systems engineering and industrial engineering, she specializes in quantitative modeling and analysis using a range of Operations Research techniques. Her expertise includes data-driven and stochastic dynamic optimization methods, which she applies to develop decision-support solutions for complex challenges in inventory management, transportation, urban logistics, and strategic logistics planning. Her research aims to enhance the resilience and efficiency of logistics systems, bridging academic depth with practical applications to address both theoretical and industry needs.

Currently, she is working on a project focused on developing a Digital Twin for a cooperative logistics system. This initiative seeks to improve service levels for both customers and providers while optimizing costs. By enhancing the Benelux Distribution Network through simulation and real-time decision-making tools, the project aims to enable predictive analysis and improve operational efficiency.