Dr. Rampi Ramprasad

Professor

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Biography

Rampi Ramprasad joined the School of Materials Science and Engineering at Georgia Tech in February 2018 after a significant tenure as Centennial Term Professor at the University of Connecticut, where he started in Fall 2004. His extensive experience includes a notable six-year period at Motorola’s R&D laboratories in Tempe, AZ. Ramprasad holds a B. Tech in Metallurgical Engineering from the Indian Institute of Technology, Madras, India, an M.S. in Materials Science & Engineering from Washington State University, and a Ph.D. in Materials Science & Engineering from the University of Illinois, Urbana-Champaign. His research focuses on the development and utilization of computational data-driven methods, with an emphasis on machine learning techniques for the discovery and design of new materials. His teaching and research include polymers, metals, and ceramics, particularly in applications related to energy production and storage. Funding for his research has been provided by major entities such as the Office of Naval Research, National Science Foundation, Department of Energy, Army Research Office, and Toyota Research Institute. Ramprasad is a Fellow of the American Physical Society and an elected member of the Connecticut Academy of Science and Engineering, among other honors.

Research Interests

Awards

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Fellow

2015-01-01
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Member

2014-01-01
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Alexander von Humboldt Fellowship

2009-01-01
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Max Planck Society Fellowship

2009-01-01

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.