Biography
Alireza Khalili-Fard holds an MSc degree in Industrial Engineering - Systems Optimization from the School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran. With a keen interest in advancing the field, his research focuses on a diverse range of topics, including operations research, decision-making, optimization, multi-objective optimization, uncertainty programming, and data-driven optimization. Throughout his academic journey, Alireza has actively contributed to several research projects, particularly in areas such as supply chain management, sustainability, circular economy, and resilience. Driven by a passion for innovation, he remains steadfast in his pursuit of novel solutions and methodologies to address complex challenges within his field. (September 2024 ~ Alireza Khalili-Fard)
Research Internets
Methodologies:
Decision-making, operation research, mathematical modeling, and optimization (multi-objective optimization, data-driven optimization, metaheuristics);
Uncertainty programing (data-driven robust optimization, distributionally robust optimization, robust optimization, stochastic programming, fuzzy theory, grey theory);
Statistics and artificial intelligence (machine learning, data mining, data analytics)
Application Areas:
Logistics and supply chain management (network design, transportation, distribution, location, allocation, routing, scheduling);
Humanitarian logistics, disaster relief management, and resiliency;
Sustainable development and circular economy
© Alireza Khalili-Fard
