Papers & preprints

An Interpretable Data-Driven Approach to Optimizing Clinical Fall Risk Assessment

Ganjkhanloo, F., et al. (2026). PLOS Digital Health (accepted)

Optimal Hospital Capacity Management During Demand Surges

Parker, F., Ganjkhanloo, F., Martínez, D. A., Ghobadi, K. (2026). Health Care Management Science

Evolving Patterns of COVID-19 Mortality in US Counties: A Longitudinal Study of Healthcare, Socioeconomic, and Vaccination Associations

Ganjkhanloo, F., et al. (2024). PLOS Global Public Health

The JHU CSSE COVID-19 Dashboard: Data Collection Process, Challenges Faced, and Lessons Learned

Dong, E., Ratcliff, J., Goyea, T. D., et al. (2022). The Lancet Infectious Diseases

Contributed to methodology, software development, and data curation.

Joint Score-Threshold Optimization for Interpretable Risk Assessment

Ganjkhanloo, F., et al. IEEE Journal of Biomedical and Health Informatics (under review)

From Non-Identifiability to Goal-Integrated Decision-Making in Parametric Inverse Optimization

Ahmadi, F., Ganjkhanloo, F., Ghobadi, K. Operations Research (under review)

Solution Prediction Dominates Parameter Prediction Under Generic Non-Identifiability: Connecting Inverse Optimization and Predict-then-Optimize

Ahmadi, F., Ganjkhanloo, F. European Journal of Operational Research (under review)

Statistical Inverse Linear Programming: One Framework for Stability, Vertex Recovery, and Tractability

Ganjkhanloo, F., et al.

How Do Hospitals Respond to Bundled Payments? A Structural Multiobjective Microsimulation Approach

Ganjkhanloo, F., et al.