Dr. Danial Davarnia

Associate Professor

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Biography

Danial Davarnia is an Associate Professor in the Edwardson School of Industrial Engineering at Purdue University. He received his PhD in Industrial Systems Engineering from the University of Florida in 2016. His research focuses on global optimization, including mixed-integer nonlinear programs, discrete optimization, decision diagrams, and network optimization. He also explores the interplay between machine learning and mixed-integer optimization. His academic contributions are recognized in the field, reflecting his dedication to advancing industrial engineering methodologies.

Research Interests

Global Optimization Mixed-Integer Nonlinear Programs Discrete Optimization Decision Diagrams Network Optimization Machine Learning

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.