Mahmoud Golabi (Ph.D., HDR)

Mahmoud Golabi is a senior researcher (tenured) and lecturer at Université de Haute-Alsace, France. He began his academic career with a Ph.D. from Eastern Mediterranean University, Cyprus, on evolutionary approaches for complex logistics problems, and subsequently served as an Assistant Professor in Cyprus after graduating in 2017. In 2019, he joined UHA as a Postdoctoral Researcher and was later appointed as a permanent researcher and lecturer. In July 2025, he defended his Habilitation à Diriger des Recherches (HDR), titled “From Classical to Learning-Enhanced Optimization: Advancing Logistics and Interactive Multi-Objective Search.”

His main research interests lie in the integration of exact methods, optimization algorithms, and machine learning techniques to address large-scale and complex real-world problems, with applications in logistics, chemistry, and materials science. In addition, he explores advanced paradigms in evolutionary multi-objective optimization and quantum-inspired optimization. He teaches undergraduate and graduate courses at Université de Haute-Alsace, and his work has been published in leading international journals and conferences in optimization and machine learning.