Kimia Ghobadi

Kimia Ghobadi

John C. Malone Assistant Professor of Civil and Systems Engineering

410-516-7763

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John C. Malone Assistant Professor of Civil and Systems Engineering

Research Interests:

  • Mathematical modeling
  • Optimization
  • Decision analytics
  • Healthcare operations
  • Medical decision-making
  • Radiation therapy​

Kimia Ghobadi is a John C. Malone Assistant Professor in Civil and Systems Engineering at Johns Hopkins University. She is a member of the Johns Hopkins Center for Systems Science and Engineering and the Malone Center for Engineering in Healthcare. Prior to joining JHU, Ghobadi was a postdoctoral fellow at MIT’s Sloan School of Management and collaborated closely with Massachusetts General Hospital on improving health care operations. She received her PhD from the Industrial Engineering Department at the University of Toronto, after which she worked with the university health networks and the Princess Margaret Cancer Centere on implementing automated radiation therapy treatment plans in clinical settings. Ghobadi is a recipient of the INFORMS Judith Liebman Award and multiple fellowships, including the National Sciences and Engineering Research Council of Canada fellowship at both the graduate and postdoctoral levels.

Kimia’s research interests lie in using mathematical models, optimization, and analytics to solve problems in complex systems. She is particularly interested in solving health care problems that are implementable and have a meaningful impact on society. To efficiently solve such problems, she is working on developing models and techniques in inverse optimization, mixed-integer programming, and online algorithms. Her current projects include inverse optimization models for personalized diet, radiation therapy treatment planning for cancer patients, health care systems capacity management and resource allocation, COVID-19 simulation and the correlation between its mortality and disparities, scheduling and process efficiency in hospitals, mobility in frail and elderly patients, and smart ICUs.

Projects