Dr. Xiao Liu

Associate Professor

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Biography

Xiao Liu is the David M. McKenney Family Associate Professor at the H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology. He received his Ph.D. in Industrial Systems Engineering from the National University of Singapore. His research primarily focuses on data-driven approaches and statistical methods within engineering and scientific environments that require intensive domain knowledge. Liu's findings have been published in prominent journals, including the Journal of the American Statistical Association and Technometrics. He has received multiple recognitions for his contributions to the field, including awards from the National Science Foundation and the American Statistical Association. Liu has an active role in the academic community as he serves on the Editorial Board as an Associate Editor for several journals and has held leadership positions in professional societies.

Research Interests

Experience

Associate Professor

— Present

Georgia Institute of Technology • Atlanta, GA

David M. McKenney Family Associate Professor at the H. Milton Stewart School of Industrial and Systems Engineering.

Research Staff Member

— Present

IBM Thomas J. Watson Research Center • New York, NY

Assistant Professor

— Present

University of Arkansas • Fayetteville, AR

Held the John L. Imhoff Endowed Chair in the Department of Industrial Engineering.

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.