Shahin Gelareh
Academic
Université d Artois
Villeneuve d'Ascq, France
Operations researcher & AI enthusiast working on predictive maintenance, multimodal logistics, and data-driven optimization for smart transport systems.
My organisation
About me
Shahin Gelareh is an Associate Professor at Université d’Artois (France), with a specialization in applied operations research, logistics optimization, and artificial intelligence. His research focuses on designing advanced decision-support systems for transportation and logistics, particularly in multimodal and railway networks.
He actively collaborates with industrial and institutional partners through European programs (Interreg, Horizon, DUT), contributing to the development of predictive maintenance models, dynamic fleet and hub management strategies, and data-driven planning tools for sustainable freight transport.
His recent work includes a scientific publication on predictive maintenance in railway systems, combining sensor data analysis and machine learning to optimize intervention schedules and reduce system failures.
Shahin Gelareh is also a scientific collaborator with industries, where he supports innovation in intelligent mobility and infrastructure resilience.
He is eager to connect with partners interested in integrating AI, digitalization, and optimization tools into the railway and logistics sectors.
Skills
- AI
- Machine Learning
- predictive rail mainetnance
- Predictive maintenance
- optimisaiton
- Simulation
Interests
- optimisation
- Combinatorial and network optimization
- Multi-criteria decision analysis
- Multiceiteria Optimisation
- Artificial Intelligence & Machine Learning
- Operations Research & Optimization
- Transport & Mobility Systems
- Maintenance & Reliability Engineering
- Digital Transformation in Industry
- Applied Research & Innovation Projects