Mohammad Zhalechian
Health Professions · Indiana University
Publications
23
Citations
771
Est. group size
—
Recurring co-author estimate
Active years
11
Publishing since 2016
Mohammad Zhalechian works at the intersection of operations research and healthcare, developing data-driven optimization and machine-learning methods to improve decisions such as hospital admissions, resource allocation, and care unit placement. A recurring focus is 'learning under uncertainty,' where algorithms adapt to unknown demand or patient contexts, with applied work also spanning glaucoma prediction and medical device policy. Additional research addresses classic operations problems like scheduling and network (hub-and-spoke) design.
Publication activity has been steady over the past decade, averaging roughly two to three papers per year with no clear upward or downward trend.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Does Early Pain Management Pay Off? Evidence on Utilization, Costs, and Surgeries
SSRN Electronic Journal · 2026
- Contextual Learning with Online Convex Optimization: Theory and Application to Medical Decision-Making
Management Science · 2025
- Dynamic Care Unit Placements Under Unknown Demand with Learning
Manufacturing & Service Operations Management · 2025
- Validation of a Visual Field Prediction Tool for Glaucoma: A Multicenter Study Involving Patients With Glaucoma in the United Kingdom
American Journal of Ophthalmology · 2025
- Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA's Medical Device Clearance Policy
SSRN Electronic Journal · 2024
- Harmonizing Safety and Speed: A Human-Algorithm Approach to Enhance the FDA's Medical Device Clearance Policy
arXiv (Cornell University) · 2024
- Learning Bundle Pricing of Reusable Resources
SSRN Electronic Journal · 2024
- Data-Driven Hospital Admission Control: A Learning Approach
Operations Research · 2023
- Online Resource Allocation with Personalized Learning
Operations Research · 2022
- A Mixed Integer Model for Unrelated Parallel Machine Scheduling with Job Deteriorating Effect
International Journal of Reliability Risk and Safety Theory and Application · 2022
- Dynamic Care Unit Placements Under Unknown Demand with Learning
SSRN Electronic Journal · 2022
- Data-Driven Learning and Resource Allocation in Healthcare Operations Management
Deep Blue (University of Michigan) · 2022
- Augmenting Kalman Filter Machine Learning Models with Data from OCT to Predict Future Visual Field Loss
Ophthalmology Science · 2021
- Personalized Hospital Admission Control: A Contextual Learning Approach
SSRN Electronic Journal · 2020
- Kalman Filtering Based Machine Learning to Predict Future Mean Deviation Values for Patients with Glaucoma -- Enhancing Existing Models Using Data from Optical Coherence Tomography. A Study Using Data from ADAGES and DIGS.
2020
- SSRN Electronic Journal×7
- Transportation Research Part E Logistics and Transportation Review×2
- Operations Research×2
- Computers & Operations Research×1
- Engineering Applications of Artificial Intelligence×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
Claim or correct this profile