LabCompass

Mohammad Zhalechian

Health Professions · Indiana University

Publications

23

Citations

771

Est. group size

Recurring co-author estimate

Active years

11

Publishing since 2016

Research summary
AI-generated

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.

Healthcare operations and schedulingOnline learning and contextual decision-makingData-driven resource allocationMachine learning for glaucoma/vision predictionOptimization and network 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

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
2017: 2 publications17182019: 2 publications192020: 3 publications202021: 1 publication212022: 4 publications4222023: 1 publication232024: 3 publications242025: 3 publications252026: 1 publication26
Recent publications
Publishes in
  • 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.

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