| Optimal risk-based group testing H Aprahamian, DR Bish, EK Bish Management Science 65 (9), 4365-4384, 2019 | 78 | 2019 |
| A methodology for deriving the sensitivity of pooled testing, based on viral load progression and pooling dilution NT Nguyen, H Aprahamian, EK Bish, DR Bish Journal of translational medicine 17, 1-10, 2019 | 65 | 2019 |
| A robust pooled testing approach to expand COVID-19 screening capacity DR Bish, EK Bish, H El-Hajj, H Aprahamian Plos one 16 (2), e0246285, 2021 | 43 | 2021 |
| Optimal group testing: Structural properties and robust solutions, with application to public health screening H Aprahamian, DR Bish, EK Bish INFORMS Journal on Computing 32 (4), 895-911, 2020 | 32 | 2020 |
| Adaptive risk-based pooling in public health screening H Aprahamian, EK Bish, DR Bish IISE Transactions 50 (9), 753-766, 2018 | 32 | 2018 |
| Sequential prevalence estimation with pooling and continuous test outcomes NT Nguyen, EK Bish, H Aprahamian Statistics in medicine 37 (15), 2391-2426, 2018 | 24 | 2018 |
| Residual risk and waste in donated blood with pooled nucleic acid testing H Aprahamian, DR Bish, EK Bish Statistics in Medicine 35 (28), 5283-5301, 2016 | 24 | 2016 |
| Pricing Asian options via compound gamma and orthogonal polynomials H Aprahamian, B Maddah Applied Mathematics and Computation 264, 21-43, 2015 | 19 | 2015 |
| Screening multi‐dimensional heterogeneous populations for infectious diseases under scarce testing resources, with application to COVID‐19 H El Hajj, DR Bish, EK Bish, H Aprahamian Naval Research Logistics (NRL) 69 (1), 3-20, 2022 | 17 | 2022 |
| Static risk-based group testing schemes under imperfectly observable risk H Aprahamian, EK Bish, DR Bish Stochastic Systems 10 (4), 361-390, 2020 | 10 | 2020 |
| Optimal screening of populations with heterogeneous risk profiles under the availability of multiple tests H Aprahamian, H El-Amine INFORMS Journal on Computing 34 (1), 150-164, 2022 | 9 | 2022 |
| A Quantitative Simulation-based Modeling Approach for College Counseling Centers S Chatterjee, Y Hebaish, L Ntaimo, J Deegear, M Rucker, H Aprahamian Simulation, 2023 | 7 | 2023 |
| Optimal clustering of frequency data with application to disease risk categorization H Aprahamian, H El-Amine IISE Transactions 54 (8), 728-740, 2022 | 7 | 2022 |
| Determining large-strain metal plasticity parameters using in situ measurements of plastic flow past a wedge H Chawla, S Yadav, H Aprahamian, D Sagapuram Proceedings of the Royal Society A 479 (2275), 20230061, 2023 | 5 | 2023 |
| A heuristic scheme for multivariate set partitioning problems with application to classifying heterogeneous populations for multiple binary attributes H El-Amine, H Aprahamian IISE transactions 54 (6), 537-549, 2022 | 5 | 2022 |
| Optimal unlabeled set partitioning with application to risk-based quarantine policies J Lin, H Aprahamian, H El-Amine IISE Transactions 56 (2), 143-155, 2024 | 4 | 2024 |
| Quantifying the benefits of customized vaccination strategies: A network‐based optimization approach S Li, H Aprahamian Naval Research Logistics (NRL), 2023 | 4 | 2023 |
| An optimization-based framework to minimize the spread of diseases in social networks with heterogeneous nodes S Li, H Aprahamian IISE Transactions 56 (2), 128-142, 2024 | 3 | 2024 |
| Spatiotemporal vaccine allocation policies for epidemics with behavioral feedback dynamics J Barth, S Li, H Aprahamian, D Gupta Naval Research Logistics (NRL), 2023 | 2 | 2023 |
| Optimal targeted mass screening in non‐uniform populations with multiple tests and schemes J Lin, H Aprahamian, G Golovko Naval Research Logistics (NRL), 2023 | 2 | 2023 |
Douglas BishUniversity of AlabamaPotvrđena adresa e-pošte na ua.edu
