Dr. Mohit Tawarmalani

Professor

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Biography

Mohit Tawarmalani is the Executive Associate Dean and the Allison and Nancy Schleicher Professor at the Mitch Daniels School of Business, Purdue University. He serves as the academic director of the Krenicki Center for Business Analytics and Machine Learning. Mohit received his Ph.D. in Industrial Engineering and his M.S. in Industrial Engineering from the University of Illinois, and his B.S. in Mechanical Engineering from the Indian Institute of Technology. Mohit's research interests lie at the intersection of computer science, optimization, and operations research, particularly focusing on applications in business engineering. He has co-authored significant publications including a book on global optimization algorithms and has contributed to the BARON software package, which is widely used in global optimization tasks. His work focuses on the applications of optimization in various fields, such as harnessing solar energy and network systems design. Mohit has received numerous awards, including the INFORMS Computing Society Prize and the Beale-Orchard-Hays Prize from the Mathematical Programming Society. He is actively involved in teaching business analytics and optimization courses and has served as an Associate Editor for various academic journals.

Research Interests

Experience

Executive Associate Dean

— Present

Purdue University • West Lafayette, IN

Overseeing academic programs and initiatives at the Mitch Daniels School of Business.

Academic Director

— Present

Krenicki Center for Business Analytics and Machine Learning • West Lafayette, IN

Directing research and application of analytics and machine learning within the business context.

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.