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Melissa Ertem Oktay

Assistant Professor 10 Months

    20162026

    Research activity per year

    Personal profile

    Research interests

    • Optimization and modelling
    • Decision Support Systems
    • Infectious disease modelling
    • Public health optimization
    • Social networks
    • Machine learning on public health
    • Network optimization

    Biography

    Melissa Zeynep Ertem’s expertise is in data analytics in healthcare systems, epidemic disease modelling, network optimization, discrete optimization, social networks and health systems optimization. Prior to joining Binghamton University, she was an adjunct professor in the Department of Data Sciences and Operations at Marshall School of Business at University of Southern California. She also served as a post-doctoral fellow at the University of Texas at Austin in the Department of Data Science and Statistics. She completed her PhD in industrial and systems engineering at Texas A&M University after obtaining her BS degree in industrial engineering from the Middle East Technical University in Turkey, with a minor in mathematics. Her recent papers were published in high-impact journals such as PLOS Computational Biology, Social Networks, the Journal of Global Optimization, and also highlighted by several U.S. news outlets.

    Resources

    Education/Academic qualification

    PhD, Texas A&M University

    Bachelor, Middle East Technical University

    ASJC Scopus Subject Areas

    • Industrial and Manufacturing Engineering

    Researcher Selected Keywords

    • Optimization and modelling
    • Decision Support Systems
    • Infectious disease modelling
    • Public health optimization
    • Social networks
    • Machine learning on public health
    • Network optimization

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