Rampi Ramprasad

Rampi Ramprasad is Professor and Michael E. Tennenbaum Family Chair at Georgia Tech, holding joint appointments as Georgia Research Alliance Eminent Scholar in Energy Sustainability. His research develops machine learning methods for accelerated materials discovery.

Education:

• B.Tech. in Metallurgical Engineering, Indian Institute of Technology Madras
• M.S. in Materials Science & Engineering, Washington State University
• Ph.D. in Materials Science & Engineering, University of Illinois Urbana-Champaign

Research Leadership: Leads multi-institution projects including ONR MURI programs on polymeric dielectrics. Research areas:

• Machine learning for polymer, metal, and dielectric design
• High-performance materials for energy storage applications
• Computational frameworks for predicting material properties
• Data-driven discovery of sustainable materials

Recognition: Fellow of multiple scientific societies including American Physical Society and recipient of Max Planck Society Fellowship. Current research demonstrates strong focus on AI-augmented materials design, particularly for energy storage polymers and recyclable materials.