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- School of Mathematical and Physical Sciences, The University of Newcastle, NSW, Australia.
- Thesis Submitted for external refereeing (by two distinguished researchers in the field) on Aug 11, 2015.
- Degree officially awarded on Jan 19, 2016.
- Thesis Topic: Theory and Algorithms for Multi-objective Integer Programming (DOWNLOAD).
- Advisors: Prof. Martin Savelsbergh, Prof. Natashia Boland, and Dr. Masoud Talebian.
- Referee 1: ``Overall, Mr. Charkhgard's thesis presents significant and valuable contributions to existing body of knowledge on multiobjective optimization and indicates avenues for further research. [...] Therefore it fulfills expectations from a doctoral study without a doubt. I believe this high quality work will make an enduring impact on research in this field."
- Referee 2: ``It is an excellent piece of work that undoubtedly deserves the award of a PhD."
- Sharif University of Technology, Tehran, Iran.
- Entered Sharif University of Technology as a result of getting ranked 6th amongst approx. 6,000 industrial engineering undergraduate students in Iranian national exam.
- Degree officially awarded on Aug 20, 2011.
- Thesis Topic: Locating wireless transmitters by using maximal covering location problem and Hata model.
- Advisor: Prof. Mohammad Reza Akbari Jokar.
- Shomal University, Amol, Mazandaran, Iran;
- Degree officially awarded on Sep 15, 2009.
Bio
Dr. Hadi Gard (Charkhgard) is a tenured Associate Professor of Industrial & Management Systems Engineering at the University of South Florida and Director of the Multi-Objective Optimization Laboratory (MOOLab). His research focuses on intelligent decision-making through optimization, artificial intelligence, and advanced analytical methods for solving complex decision problems in logistics, supply chain management, healthcare, defense, and environmental sustainability.
His work has been supported by leading federal agencies, including the National Science Foundation (NSF), U.S. Geological Survey (USGS), Environmental Protection Agency (EPA), and U.S. Army Corps of Engineers (USACE), among others. Dr. Gard has authored over 60 publications in top-tier journals and has developed practical decision-support tools that help organizations optimize operations, reduce costs, and improve resilience through data-driven modeling and AI-enabled optimization.
Research Interests
Multi-objective Optimization, Operations Research, AI, Supply Chain Engineering, and Natural Resource Management.