Published Work
An Optimization-based Order-and-cut Approach for Fair Clustering of Datasets
S. Li, H. Aprahamian, M. Nouiehed, and H. El-Amine
To appear in INFORMS Journal on Data Science, 2023.
Spatiotemporal Vaccine Allocation Policies for Epidemics with Behavioral Feedback Dynamics
J. Barth, S. Li, H. Aprahamian, and D. Gupta
To appear in Naval Research Logistics, 2023.
A Data-driven Simulation Approach to Quantify the Effect of Group Counseling on System Performance of College Counseling Centers
Y. Hebaish, S. Chatterjee, J. Deegear, M. Rucker, L. Ntaimo, and H. Aprahamian
To appear in Journal of American College Health, 2023.
Optimal Targeted Mass Screening in Non-uniform Populations with Multiple Tests and Schemes
J. Lin, H. Aprahamian, and G. Golovko
To appear in Naval Research Logistics, 2023.
Quantifying the Benefits of Customized Vaccination Strategies: A Network‐based Optimization Approach
S. Li and H. Aprahamian
Naval Research Logistics, 2023.
Determining Large-strain Metal Plasticity Parameters using in situ Measurements of Plastic Flow Past a Wedge
H. Chawla, S. Yadav, H. Aprahamian, and D. Sagapuram
Proceedings of the Royal Society A, 2023.
Optimal Unlabeled Set Partitioning with Application to Risk-based Quarantine Policies
J. Lin, H. Aprahamian, and H. El-Amine
IISE Transactions, 2023.
An Optimization-based Framework to Minimize the Spread of Diseases in Social Networks with Heterogeneous Nodes
S. Li and H. Aprahamian
IISE Transactions, 2023.
A Quantitative Simulation-based Modeling Approach for College Counseling Centers
S. Chatterjee, Y. Hebaish, L. Ntaimo, J. Deegear, M. Rucker, and H. Aprahamian
Simulation, 2023.
Can Fast Food Eating Patterns Be Healthy? An Optimization-Based Analysis of Popular US Fast-Food Chains
H. Aprahamian, S. Butenko, Z. Hunt, M. Makovenko, C. Martin, M. Pardalos, and S. Talcott
Operations Research Forum, 4(1), 2023.
Set Partitioning: Applications in Health Care
H. Aprahamian and H. El-Amine
Encyclopedia of Optimization, 1-7, 2022.
Optimal Clustering of Frequency Data with Application to Disease Risk Categorization
H. Aprahamian and H. El-Amine
IISE Transactions, 54(8): 728-740, 2022.
A Heuristic Scheme for Multivariate Set Partitioning Problems with Application to Classifying Heterogeneous Populations for Multiple Binary Attributes
H. Aprahamian and H. El-Amine
IISE Transactions, 54(6): 537-549, 2022.
Screening Multi-dimensional Heterogeneous Populations for Infectious Diseases under Scarce Testing Resources, with Application to COVID-19
H. El-Hajj, D. R. Bish, and E. K. Bish, H. Aprahamian
Naval Research Logistics, 69(1): 3-20, 2022.
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
A Robust Pooled Testing Approach to Expand COVID-19 Screening Capacity
D. R. Bish, E. K. Bish, H. El-Hajj, H. Aprahamian
PLOS ONE, 16(2), 2021.
Static Risk-based Group Testing Schemes under Imperfectly Observable Risk
H. Aprahamian, E. K. Bish, and D. R. Bish
Stochastic Systems, 10(4): 361-390, 2020.
Optimal Group Testing: Structural Properties and Robust Solutions, with Application to Public Health Screening
H. Aprahamian, D. R. Bish, and E. K. Bish
INFORMS Journal on Computing, 32(4): 895-911, 2020.
A Methodology for Deriving the Sensitivity of Pooled HIV Testing, Based on Viral Load Progression and Pooling Dilution
N. Nguyen, H. Aprahamian, E. K. Bish, D. R. Bish
Journal of Translational Medicine, 17(1): 1-10, 2019.
Optimal Risk-based Group Testing
H. Aprahamian, D. R. Bish, and E. K. Bish
Management Science, 65(9): 4365-4384, 2019.
Adaptive Risk-based Pooling in Public Health Screening
H. Aprahamian, E. K. Bish, and D. R. Bish
IISE Transactions, 50(9): 753-766, 2018.
Sequential Prevalence Estimation with Pooling and Continuous Test Outcomes under Limited Resources
N. Nguyen, E. K. Bish, and H. Aprahamian
Statistics in Medicine, 37(15):2391-2426, 2018.
Residual Risk and Waste in Donated Blood with Pooled Nucleic Acid Testing
H. Aprahamian, D. R. Bish, and E. K. Bish
Statistics in Medicine, 35(28):5283-5301, 2016.
Pricing Asian Options via Compound Gamma and Orthogonal Polynomials
H. Aprahamian, B. Maddah
Applied Mathematics and Computation, 264:21-43, 2015.
Under Review
An Optimal Path Discovery Procedure for Regret-based Multi-period Problems with Applications to Infectious Disease Screening
M. Shams Eddin, H. El-Amine, and H. Aprahamian
Under second round of review with INFORMS Journal on Computing.
Capturing the Dilution Effect of Risk-based Grouping with Application to COVID-19 Screening
S. Chatterjee and H. Aprahamian
Under second round of review with Naval Research Logistics.
The Impact of Early Large-scale Screening on the Evolution of Pandemics
M. Shams Eddin, H. El-Amine, and H. Aprahamian
Under second round of review with IISE Transactions.
An Efficient Epsilon-optimal Convex Relaxation-Based Spatial Branching Scheme with Application to Robust Large-scale Screening
S. Li, H. Aprahamian, and S. Chatterjee
Under first round of review with INFORMS Journal on Computing.
Optimizing Scheduling in Multi-service Systems with Policy-design Constraints: Application to University Mental Health Services
Y. Hebaish, S. Chatterjee, H. Aprahamian, J. Deegear, M. Rucker, and L. Ntaimo
Under first round of review with Stochastic Systems.
An Optimization-based Scheduling Methodology for Multi-service Appointment Systems with Non-stationary Arrival Processes
S. Chatterjee, Y. Hebaish, H. Aprahamian, J. Deegear, M. Rucker, and L. Ntaimo
Under first round of review with INFORMS Journal on Computing.
Learning from Unfolding Dynamics: Forecast-Driven Adaptive Scheduling in Multi-Service Non-stationary Queues
S. Chatterjee, Y. Hebaish, H. Aprahamian, J. Deegear, M. Rucker, and L. Ntaimo
Under first round of review with Operations Research.
A Gaussian Process Regression Scheme for Ragged Data Structures with Application to Predicting Treatment Outcomes
Y. Hebaish, S. Chatterjee, H. Aprahamian, J. Deegear, M. Rucker, and L. Ntaimo
Under first round of review with Journal of Operations Management.
A General Global Optimization Framework for Estimating Material Constitutive Parameters
H. Chawla, D. Sagapuram, and H. Aprahamian
Under first round of review with SIAM Journal on Applied Mathematics.
Optimal Targeted Mass Screening Under Limited Testing Capacity with Application to COVID-19
J. Lin, H. Aprahamian, and G. Golovko
Under first round of review with IISE Transactions.
A Proactive/Reactive Mass Screening Approach with Uncertain Symptomatic Cases
J. Lin, H. Aprahamian, and G. Golovko
Under first round of review with Healthcare Management Science.
Working Papers
Bayesian Optimization for Enhanced Student Responses to Mental Health Treatments
Y. Hebaish, S. Chatterjee, H. Aprahamian, R. Tuo, and L. Ntaimo
To be submitted to Artificial Intelligence in Medicine.
Estimating Large-Scale Simulations with Bayesian Neural Networks: An Application to Optimize the Operations of College Counseling Centers
M. Valizadeh, R. Tuo, S. Chatterjee, and H. Aprahamian
To be submitted to Neural Networks.
The Probabilistic Set Partitioning Problem: A Heuristic Approach with Guaranteed Optimality Bounds
S. Chatterjee, H. Aprahamian, and H. El-Amine
To be submitted to INFORMS Journal on Optimization.
A New Class of Tight Convex Underestimators for Twice Continuously Differentiable Functions
S. Li and H. Aprahamian
To be submitted to SIAM Journal on Optimization.
A Multi-period Mass Screening Framework for the Optimal Control of Infectious Disease Outbreaks
J. Lin, S. Li, H. Aprahamian, and G. Golovko
To be submitted to INFORMS Journal on Computing.
An Integrated Strategy for Controlling Infectious Disease Outbreaks: Social Distancing, Mass Screening, and Vaccine Distribution
S. Li, J. Lin, and H. Aprahamian
To be submitted to IISE Transactions.
A Network-based Collaboration Model for Sustainability of Rural Hospitals
S. Chatterjee, H. Aprahamian, A. Banerjee, and P. Sharifi
To be submitted to Networks.
Can Collaborations Help Save Rural Hospitals? A Quantitative Analysis
S. Chatterjee, H. Aprahamian, A. Banerjee, and P. Sharifi
To be submitted to Journal of the American Medical Informatics Association.
Preserving the Voice of Minorities: A Novel Fairness Metric for Unsupervised Machine Learning
T. Shehadi, H. Aprahamian, and M. Nouiehed
To be submitted to Journal of Artificial Intelligence Research.