Dr. Aprahamian's research interests lie in the application of Operations Research methodologies and statistical tools to problems arising in healthcare systems and public policy decision-making. Recently, his work has focused on the development of combinatorial and discrete optimization techniques to obtain optimal risk-based screening policies and effective algorithms for public health screening. Applications of interest include donated blood screening, population-level screening for sexually-transmitted diseases, and newborn screening for genetic mutations.
- Ph.D. in Industrial and Systems Engineering, Virginia Tech - (Blacksburg, Virginia, United States) 2018
- M.S. in Engineering Management, American University of Beirut - (Beirut, Lebanon) 2012
- B.S. in Physics, Lebanese University - (Beirut, Lebanon) 2010
- Nguyen, N. T., Aprahamian, H., Bish, E. K., & Bish, D. R. (2019). A methodology for deriving the sensitivity of pooled testing, based on viral load progression and pooling dilution. Journal of translational medicine. 17(1), 252.
- Aprahamian, H., Bish, D. R., & Bish, E. K. (2019). Optimal Risk-Based Group Testing. MANAGEMENT SCIENCE. 65(9), 4365-4384.
- Aprahamian, H., Bish, E. K., & Bish, D. R. (2018). Adaptive risk-based pooling in public health screening. IISE Transactions. 50(9), 753-766.
- Nguyen, N. T., Bish, E. K., & Aprahamian, H. (2018). Sequential prevalence estimation with pooling and continuous test outcomes. Statistics in medicine. 37(15), 2391-2426.
- Aprahamian, H., Bish, D. R., & Bish, E. K. (2016). Residual risk and waste in donated blood with pooled nucleic acid testing. Statistics in medicine. 35(28), 5283-5301.