From Non-Identifiability to Goal-Integrated Decision-Making in Parametric Inverse Optimization
Farzin Ahmadi, Fardin Ganjkhanloo, Kimia Ghobadi · arXiv preprint arXiv:2603.17033
Fardin Ganjkhanloo is an alumnus of the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, where he earned his Ph.D. in Systems Engineering under Dr. Kimia Ghobadi in February 2025. He is currently a Healthcare Policy Modeler at the Johns Hopkins Center for Health Systems and Policy Modeling (CHSPM).
Fardin's current work centers on structural and microsimulation models of U.S. healthcare delivery, with emphasis on supply-side incentives and payment reform. His professional interests are broadly in quantitative, data-informed approaches to improving healthcare systems, and he is passionate about translating rigorous modeling into scalable reforms that enhance efficiency and patient outcomes.
Projects
Selected publications
Joint Score-Threshold Optimization for Interpretable Risk Assessment
Fardin Ganjkhanloo, Emmett Springer, Erik H Hoyer, Daniel L Young, Kimia Ghobadi · arXiv preprint arXiv:2510.21934
Optimizing Clinical Fall Risk Prediction: A Data-Driven Integration of EHR Variables with the Johns Hopkins Fall Risk Assessment Tool
Ganjkhanloo F, Springer E, Hoyer EH, Young DL, Ghobadi K · arXiv
Joint Score-Threshold Optimization for Interpretable Risk Assessment Under Partial Supervision
Ganjkhanloo F, Springer E, Hoyer EH, Young DL, Ghobadi K · arXiv
Optimal hospital capacity management during demand surges
Parker F, Ganjkhanloo F, Martínez DA, Ghobadi K · arXiv preprint
Evolving patterns of COVID-19 mortality in US counties: A longitudinal study of healthcare, socioeconomic, and vaccination associations
Ganjkhanloo F, Ahmadi F, Dong E, Parker F, Gardner L, Ghobadi K · PLOS Global Public Health.