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Ozlem Ergun

Ozlem Ergun

· Distinguished Professor and Associate Chair for Graduate Affairs, Northeastern University, College of Engineering

Northeastern University · Artificial Intelligence

Active 2002–2025

h-index32
Citations4.2k
Papers9723 last 5y
Funding$1.0M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Ozlem Ergun is a Distinguished Professor and Associate Chair for Graduate Affairs at Northeastern University's College of Engineering. Her research focuses on areas within the College of Engineering, although specific details about her research interests, background, or key contributions are not provided in the page text.

Research topics

  • Computer Science
  • Business
  • Sociology
  • Engineering
  • Artificial Intelligence
  • Risk analysis (engineering)
  • Computer Security
  • Marketing
  • Economics
  • Distributed computing

Selected publications

  • Sustainable and Resilient Health Care in the Face of a Changing Climate

    Annual Review of Public Health · 2023 · 72 citations

    Climate change is a threat multiplier, exacerbating underlying vulnerabilities, worsening human health, and disrupting health systems' abilities to deliver high-quality continuous care. This review synthesizes the evidence of what the health care sector can do to adapt to a changing climate while reducing its own climate impact, identifies barriers to change, and makes recommendations to achieve sustainable, resilient health care systems.

  • A structured overview of insights and opportunities for enhancing supply chain resilience

    IISE Transactions · 2022 · 56 citations

    1st authorCorresponding

    Widespread product shortages during the COVID-19 pandemic and other emergencies have prompted several large studies of how to make supply chains more resilient. In this article we leverage these studies, as well as the academic literature, to provide a review of our state of knowledge about supply chain resilience. To do this, we (i) classify the failure modes of a supply chain, (ii) quantitatively evaluate the level of resilience needed in a supply chain to achieve desired business or societal…

  • The Nutritious Supply Chain: Optimizing Humanitarian Food Assistance

    INFORMS Journal on Optimization · 2021-01-01 · 34 citations

    articleOpen access

    The World Food Programme (WFP) is the largest humanitarian agency fighting hunger worldwide, reaching approximately 90 million people with food assistance across 80 countries each year. To deal with the operational complexities inherent in its mandate, WFP has been developing tools to assist its decision makers with integrating supply chain decisions across departments and functional areas. This paper describes a mixed integer linear programming model that simultaneously optimizes the food baske…

  • Approximate dynamic programming for network recovery problems with stochastic demand

    Transportation Research Part E Logistics and Transportation Review · 2021 · 31 citations

    Senior authorCorresponding
  • UN World Food Programme: Toward Zero Hunger with Analytics

    INFORMS Journal on Applied Analytics · 2022-01-01 · 25 citations

    articleSenior author

    Each year, the United Nations World Food Programme (WFP) provides food assistance to around 100 million people in more than 80 countries. Significant investments over the last decade have put planning and optimization at the forefront of tackling emergencies at WFP. A data-driven approach to managing operations has gradually become the norm and has culminated in the creation of a supply chain planning unit and savings of more than USD 150 million—enough to support two million food-insecure peopl…

Recent grants

Frequent coauthors

Labs

  • The Institute for Experiential AIPI

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