Dr. Nicoleta Serban

Professor

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Biography

Nicoleta Serban is a Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. She earned her B.S. in Mathematics and M.S. in Stochastic Processes and Theoretical Statistics from the University of Bucharest, followed by a Ph.D. in Statistics from Carnegie Mellon University. Prof. Serban has served as an Editor for Physical Sciences, Engineering, and Environment at the Annals of Applied Statistics from 2014 to 2021. She has actively contributed to multiple National Academy of Engineering (NAE) and Institute of Medicine (IOM) workshops and symposia. Her service includes multi-year participation in state-level committees such as the Georgia All-Payer Claims Database Advisory Committee and the Georgia Behavioral Health Reform & Innovation Commission. To date, Prof. Serban has published over 85 peer-reviewed articles and co-authored a book with Dr. William B. Rouse on healthcare complexity. Her research program focuses on data-driven analytics integrating statistical modeling and computational methods to solve complex real-world problems, with a central theme of health analytics. She aims to leverage machine learning and simulation optimization to enhance decision-making in healthcare systems for underserved populations. Prof. Serban emphasizes experiential learning in her teaching philosophy, developing graduate-level courses for Georgia Tech’s Online Master of Analytics program and mentoring numerous Ph.D. and undergraduate students in their research endeavors.

Research Interests

Experience

Professor

2005-08-01 — Present

Georgia Institute of Technology • Atlanta, GA

Professor in the H. Milton Stewart School of Industrial and Systems Engineering.

Awards

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NSF CAREER Award

2010-01-01
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David Byar Young Investigator Award

2008-01-01

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.