Mohammad Zhalechian

Contextual Learning with Online Convex Optimization with Applications to Medical Decision-Making
Accepted at Management Science
Collaboration with Massachusetts Hospital
E. Keyvanshokooh, M. Zhalechian, C. Shi, MP. Van Oyen, P. Kazemian
- Finalist, CHOM Best Paper Competition (POMS), 2022
- Finalist, INFORMS MSOM Best Student Paper Competition, 2021
- Finalist, INFORMS Health Applications Society (HAS) Best Student Paper Competition, 2021
- Second Place, INFORMS Decision Analysis Society (DAS) Best Student Paper, 2020
Data-driven Hospital Admission Control: A Learning Approach
Accepted at Operations Research
Collaboration with St. Joseph Hospital
M. Zhalechian, E. Keyvanshokooh, C. Shi, MP. Van Oyen
- Winner of Richard C. Wilson Best Student Paper Award on Service Systems, 2021
- Finalist, Set Bonder Scholarship, INFORMS Health Applications Society, 2020
Online Resource Allocation with Personalized Learning
Accepted at Operations Research
Collaboration with Michigan Medicine
M. Zhalechian, E. Keyvanshokooh, C. Shi, MP. Van Oyen
Augmenting Kalman Filter Machine Learning Models with Data from Optical Coherence Tomography to Predict Future Visual Field Loss: The African Descent and Glaucoma Evaluation Study
Accepted at Ophthalmology Science
Collaboration with Kellogg Eye Center and and Shiley Eye Institution
M. Zhalechian, MP. Van Oyen, M. Lavieri, C. Andrew, J. Stein, et. al

Dynamic Care Unit Placements under Unknown Demand with Learning
Major Revision at Manufacturing & Service Operations Management
Collaboration with St. Joseph Hospital
A. Dean, M. Zhalechian, MP. Van Oyen

Harmonizing Safety and Speed: An Analytical Paradigm to Enhance FDA’s Medical Device Clearance Policy
with Soroush Saghafian and Omar Robles
Interpretable Design of Multi-Agent Reinforcement Learning
with Soroush Saghafian and Yoshimi Fukuoka
Validation of a Visual Field Prediction Tool for Glaucoma: A Multicenter Study Involving Patients with Glaucoma from Throughout the United Kingdom
with Arlen Dean, Dun Fu, Mark Van Oyen, Mariel Lavieri, Anthony Khawaja, and Joshua Stein

In my past life, I used to work on supply chain network design.