Ohad Perry, Ph.D.

Ohad Perry, Ph.D.

Associate Professor, OREM

Office Location: Caruth Hall Rm. 335

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  • Ph.D. in Operations Research, Department of Industrial Engineering and Operations Research (IEOR), Columbia University in the City of New York
  • M.S. in Operations Research, Department of Industrial Engineering and Operations Research (IEOR), Columbia University in the City of New York
  • B.S. Mathematics and Statistics, University of Haifa, Israel 


Ohad Perry is an associate professor in the OREM Department. Before joining SMU in August 2022, he was a tenured associate professor in the Industrial Engineering and Management Sciences (IEMS) Department at Northwestern University, which he joined in August 2011. His undergraduate degree is in Mathematics and Statistics from Haifa University, and his M.S. and PhD degrees are from the Industrial Engineering and Operations Research (IEOR) Department at Columbia University. After completing his PhD in 2010, he spent a year and a half as a post-doctoral fellow in Centrum Wiskunde & Informatica (CWI) in Amsterdam, the Netherlands. His research interests center around applied probability, with applications to queueing theory, inventory and control of stochastic systems. More specifically, his work focuses on developing analytical techniques, involving stochastic analysis, stability theory and dynamical-systems’ control to design and optimize service systems, such as call centers, hospitals, matching markets and inventory systems.

Honors & Awards

  • The Applied Probability Society (APS) best student paper award 2020 and the Graduate Teaching Award 2018


  • Stochastic systems and applied probability with applications to service, healthcare and inventory systems;  Performance analysis, control and stability of stochastic systems 


  • Many-server heavy-traffic limits for queueing systems with perfectly correlated service and patience times - L Yu, O Perry, Mathematics of Operations Research 48 (2), 1119-1157
  • Asymptotic optimality of the binomial-exhaustive policy for polling systems with large switchover times - Y Hu, J Dong, O Perry, The Annals of Applied Probability 32 (6), 4803-4848
  • When Service Times Depend on Customers’ Delays: A Relationship Between Two Models of Dependence - C Wu, A Bassamboo, O Perry, Operations Research 70 (6), 3345-3354
  • A fluid-diffusion-hybrid limiting approximation for priority systems with fast and slow customers - L Yu, S Iravani, O Perry, Operations Research 70 (4), 2579-2596
  • Queueing models for patient-flow dynamics in inpatient wards - J Dong, O Perry, Operations Research 68 (1), 250-275

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