Golman is a Postdoctoral Fellow in Freight Transport and Logistics within the Operations, Planning, Accounting and Control (OPAC) group at the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e) in the Netherlands. She holds two Master’s degrees, both awarded cum laude: one in Industrial Engineering and one in Transport Systems Engineering. She earned her PhD in Transport and Infrastructure, also conferred cum laude in recognition of academic excellence.

Her doctoral dissertation, titled “Green Vehicle Routing and Logistics Optimization: IoT-Driven Solutions for Modern Urban Challenges,” explored how Internet of Things (IoT) technologies, in combination with advanced optimization methods, can improve the sustainability, efficiency, and resilience of urban freight systems.

Golman’s research addresses complex challenges in freight transport and logistics using methodologies from Operations Research and Artificial Intelligence. Her work involves the development of models such as integer programming, branch and price, machine learning, and reinforcement learning to optimize supply chains, increase transportation efficiency, and enhance the performance of logistics networks. These efforts are frequently conducted in collaboration with industry partners to ensure both academic rigor and real-world relevance.

Golman has authored or co-authored more than ten peer-reviewed journal articles. Her work has received over 300 citations and she holds an h-index of 8 according to Google Scholar. Her publications appear in high-impact journals including Renewable and Sustainable Energy Reviews and the Journal of Cleaner Production.

A recent recognition includes her team’s selection as a finalist in the TSL Meituan 2024 Data-Driven Research Challenge. The team’s algorithm was praised for its technical sophistication and practical applicability and will be presented at the INFORMS Annual Meeting 2025 in Atlanta

Golman is currently involved in the Circulaire Stromen Next Level Logistics project. This applied research initiative combines Operations Research with Digital Twin technology to support real-time, data-driven decision-making in cooperative logistics. By incorporating simulation-based optimization, predictive analytics, and integration with Transport Management Systems, the project aims to reduce total logistics costs and improve network responsiveness. The project involves 15 logistics service providers and three knowledge institutions, including TNO and Breda University of Applied Sciences.

At TU/e, Golman lectures in the course Urban Mobility Startups for Livable Cities, which is part of the Bachelor’s program in the fourth quartile. Previously, she taught at Sapienza University of Rome, delivering courses such as Freight and Logistics, Transport Policy, Traffic Systems Engineering and ITS, and Programming for Transportation at the Master’s level.

Golman currently supervises four Master’s students, three at Sapienza University and one at TU/e, as well as one Bachelor’s student at TU/e. In the past, she has supervised six Master’s theses at Sapienza University on topics including vehicle routing, electric mobility, last-mile delivery, and smart waste management.