Engin Topan received his BS, MS and PhD degrees in Industrial Engineering (IE), all from METU. Before these, he worked as a researcher and instructor at Çankaya University, the Turkish Military Academy, Eindhoven University of Technology, and Erasmus University Rotterdam. He is currently working as an Associate Professor of Industrial Engineering and Management Science (IEMS) section at the University of Twente in Netherlands and secondly affiliated at METU IEM.

His research focuses on building resilience and agility in supply chains and production systems by combining model-driven methods, data-driven learning, and hybrid artificial intelligence (AI). A central theme of his work is enabling organisations to plan predictively and proactively under variability and uncertainty by transforming operational data into actionable and explainable decision support.

His research covers both manufacturing and service environments, with particular emphasis on high-mix, low-volume (HMLV) production, workload-constrained planning, AI-supported production and supply planning, service logistics, and spare parts management. He also investigates human–AI collaboration in operational decision-making, including how AI-based decision support can enhance human expertise.