Dr. Alex Pothen

Professor

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Biography

Alex Pothen is a Professor in the Department of Computer Science at Purdue University, specializing in combinatorial scientific computing, parallel algorithms, and bioinformatics. He has made significant contributions to discrete mathematics and its applications in solving combinatorial problems in science and engineering. His research work encompasses the development of models and algorithms for graph coloring and optimization, contributing to advancements in computational methods used in a variety of scientific domains. Pothen has received recognition as a Fellow of the Society for Industrial and Applied Mathematics (SIAM) and the Association for Computing Machinery (ACM). He has a strong track record of mentoring Ph.D. students and post-doctoral researchers, many of whom have gone on to hold prominent academic and industry positions. He also has served in leadership roles such as Director of the Combinatorial Scientific Computing Petascale Simulations Institute, which focused on developing computational tools for large-scale models. Pothen has published extensively in prestigious journals and has been an editor for multiple academic publications.

Research Interests

Experience

Professor

2008-08-01 — Present

Purdue University • West Lafayette, IN

Professor in the Department of Computer Science focusing on combinatorial scientific computing and optimization.

Awards

#

Fellow

2018-01-01
#

Fellow

2022-01-01

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.