Dr. Leo Benatar

Assistant Professor

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Biography

Leo Louise Benatar is an Associate Professor at the School of Industrial and Systems Engineering (ISyE) at Georgia Institute of Technology. He previously held the position of Prager Assistant Professor in the Division of Applied Mathematics at Brown University. His research focuses on Stochastic Processes, particularly in applications related to online sequential decision making, load balancing in large-scale systems, and performance analysis in cloud networks. He has received multiple honors, including the 2025 ACM SIGMETRICS Rising Star Award and has been recognized as a finalist in the INFORMS Junior Faculty Interest Group Paper Competition. Beyond his teaching and administrative roles, he is also involved in editorial duties for various journals in his field and actively participates in conference organization, including roles with ACM SIGMETRICS and the International Teletraffic Congress. Benatar earned his Ph.D. in Stochastics Operations Research from Eindhoven University of Technology and has been actively contributing to the academic community through various grants and collaborative research projects.

Research Interests

Experience

Leo Louise Benatar Early Career Professor

2023-08-01 — Present

Georgia Institute of Technology • Atlanta, GA

Assistant Professor

2019-07-01 — Present

Georgia Institute of Technology • Atlanta, GA

Prager Assistant Professor

2018-07-01 — 2019-06-01

Brown University • Providence, RI

Awards

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ACM SIGMETRICS Rising Star Award

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Finalist, JFIG Paper Competition

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Student Paper Award

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Cum Laude Distinction

Requirements for Georgia Institute of Technology

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:19
Reading
Required:19
Writing
Required:19
Speaking
Required:19
Total
Required:100
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:5.5
Speaking
Required:6.5
Overall
Required:7.5
Prerequisites
Undergraduate degree in computer science or related field
Application Checklist
  • Online application
  • Official transcripts
  • Three letters of recommendation
  • Statement of Purpose
Specialization Notes

Department of Computer Science: GRE scores are optional for Fall 2026.