• Assistant Professor
Hrayer Aprahamian

Educational Background

  • Doctorate of Philosophy, industrial and systems engineering, Virginia Tech - 2018
  • Master of Science, engineering management, American University of Beirut - 2012
  • Bachelor of Science, physics, Lebanese University - 2010

Research Interests

  • 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.

Awards & Honors

  • Pierskalla Best Paper Award, Runner up, 2017
  • Paul E. Torgersen Graduate Student Research Excellence Award, 2018
  • Bonder Scholar for Applied Operations Research in Health Services, Finalist, 2017

Selected Publications

  • H. Aprahamian, D. R. Bish, and E. K. Bish. Optimal risk-based group testing strategies, with equity considerations. Forthcoming in Management Science.
  • H. Aprahamian, E. K. Bish, and D. R. Bish. Adaptive risk-based array pooling in public health screening. IISE Transactions, 2018.
  • H. Aprahamian, D. R. Bish, and E. K. Bish. Optimal group testing: Structural properties and robust solutions, with application to public health screening. Under second round of review with INFORMS Journal on Computing.
  • H. Aprahamian, D. R. Bish, and E. K. Bish. Residual risk and waste in donated blood with pooled nucleic acid testing. Statistics in Medicine, 35(28):5283-5301, 2016.
  • H. Aprahamian, B. Maddah. Pricing Asian options via compound gamma and orthogonal polynomials. Applied Mathematics and Computation, 264:21-43, 2015.
  • N. Nguyen, E. K. Bish, and H. Aprahamian. Sequential prevalence estimation with pooling and continuous test outcomes under limited resources. Statistics in Medicine, 37(15):2391-2426, 2018.