Mahdi Homayouni

Mahdi Homayouni is a Senior Lecturer in Industrial Engineering and Management at the School of Business, Social & Decision Sciences, Constructor University. His expertise lies in scheduling optimization, logistics, and operations research. He holds a PhD in Industrial and Systems Engineering from Universiti Putra Malaysia (2012), an MSc in the same field (2008), and a B.Eng. in Industrial Engineering (2003).

His research focuses on advanced scheduling methodologies for manufacturing systems, maritime operations, and container terminals. He has developed algorithms such as hybrid genetic algorithms, particle swarm optimization, and biased random key genetic algorithms (BRKGA) to address complex problems like energy-efficient job shop scheduling, integrated production-transport systems, and port automation. His work emphasizes sustainability, resource optimization, and the application of metaheuristics to real-world logistical challenges.

Dr. Homayouni has held academic positions at institutions including the University of Porto (FEP), Islamic Azad University, and served as a research assistant at INESC Technology and Science. His contributions span theoretical advancements in scheduling models and practical applications in supply chain management, with a strong emphasis on interdisciplinary solutions.

His recent publications highlight innovations in digital twin technology for seaport sustainability, energy-efficient manufacturing systems, and multi-objective optimization in transportation logistics. He continues to explore cutting-edge applications of AI-driven algorithms to enhance operational efficiency in industrial and maritime sectors.