• 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 Charkhgard is an Assistant Professor of Industrial and Management Systems Engineering and the director/founder of multi-objective optimization laboratory at the University of South Florida since August 2016. Prior to this position, he was a postdoctoral research fellow at the Georgia Institute of Technology for one year from August 2015 to August 2016. Dr. Charkhgard is an author of 40+ articles published in highly-ranked journals on all three aspects of Operations Research including theory, methodology, and applications. He is a multi-objective optimization expert and has a track-record of creating innovative techniques for solving real-world problems in different domains: natural resource management, transportation, healthcare, energy, database systems, etc.

    Dr. Charkhgard has a long-term collaboration with researchers in United States Geological Survey (USGS) on solving conservation planning problems. Multiple PhD students of Dr. Charkhgard have been supported by USGS through the Curricular Practical Training (CPT) program. Dr. Charkhgard’s research has been funded by National Science Foundation (NSF) and U.S. Environmental Protection Agency (EPA). Dr. Charkhgard has received several notable awards such as an NSF CRII award (also known as mini-CAREER) and INFORMS Computing Society Best Student Paper Award (runner-up).

    Research Interests

    Multi-objective Mixed Integer Programming, Natural Resource Management, Operations Research, Energy, Supply Chain Engineering, Transportation, Machine Learning, Data Science.

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