Albert Schrotenboer

Albert Schrotenboer is an Assistant Professor of Transport and Logistics at Eindhoven University of Technology. He holds a PhD in Operations Research from the University of Groningen (2020), with research focused on algorithmic solutions for emerging logistics challenges like renewable energy transition and omnichannel retail operations. His work integrates mathematical programming, AI, and domain expertise to address societal issues in transportation and supply chain management.

• Affiliations: EAISI Mobility, Operations Planning & Control group, and EIRES Research
• Visiting Scholarships: Georgia Tech & Loyola University Chicago

Research interests include vehicle routing optimization, stochastic inventory systems, green hydrogen logistics, and AI-driven decision-making. Current teaching focuses on artificial intelligence for logistics, urban mobility innovation, and transport design principles.

Recent articles (2023–2025) emphasize multi-stage stochastic programming for hydrogen networks, exact Benders decomposition in routing problems, and reinforcement learning applications in inventory systems. His work is published in top journals like Transportation Science and Operations Research.

Active in industry collaboration through Optiflow Solutions, advising on supply chain optimization strategies. Supervises 10 PhD students focusing on cutting-edge logistics challenges including green hydrogen logistics, omnichannel fulfillment, and megacity delivery algorithms.