Prof. Mohsen Afsharian is a Professor of Production and Logistics at Leibniz Fachhochschule Hannover, Germany. He specializes in Operations Research with focus on Data Envelopment Analysis (DEA), incentive regulation mechanisms, and performance analytics. His research bridges theoretical advancements in DEA methodologies with practical applications in supply chain optimization, facility location, and regulatory policy design. Education: Holds a Habilitation in Prescriptive Analytics (2022) and a Doctorate in Operations Research. Notable academic contributions include monographs on cutting-stock problems with defects (2013) and prescriptive analytics frameworks (2022). Research interests span efficiency evaluation systems, productivity measurement over time, and data-driven decision models. Recent work emphasizes incentive mechanisms for regulated sectors and multi-criteria optimization under centralized management structures. Publications (2020–2024) highlight contributions to DEA flexibility control, metafrontier analysis, and emerging data science applications in business. He co-edited special issues on incentive regulation analytics (2022) and public sector DEA applications (2018). Active in editorial roles for Decision Analytics Journal and Socio-Economic Planning Sciences. His work integrates mathematical programming with real-world challenges in logistics, education systems, and banking efficiency analysis.











