Raghu Ramanujan

Raghu Ramanujan is an Associate Professor of Mathematics and Computer Science at Davidson College, where he joined in 2012. He teaches across the computer science curriculum and supervises student research projects in Artificial Intelligence, automated planning, combinatorial search, and machine learning.

• Education
  • Ph.D., M.S. in Computer Science from Cornell University
  • B.S. in Electrical and Computer Engineering from Purdue University

Ramanujan's research focuses on interdisciplinary applications of Artificial Intelligence, including automated planning, adversarial search, and machine learning techniques. His work often bridges theoretical AI with practical implementations in physics, detector modeling, and computational creativity. He has published extensively on point-cloud analysis, Monte Carlo tree search, and generative models.

His recent publications emphasize machine learning for physics-based problems, particularly in detector simulation and jet physics, alongside advancements in adversarial search and reinforcement learning. Key trends include cross-domain applications of GANs, optimization in sparse tensor computation, and temporal dynamics modeling in reaction systems.

Ramanujan mentors student research and integrates his expertise into curriculum development. While no formal awards are listed, his contributions to AI research and education are significant.