Dr. Keerthi joined Yahoo! Research in December 2003. Over the last fifteen years his research has focused on the development of practical algorithms for a variety of areas, such as machine learning, robotics, computer graphics and optimal control.

His works on support vector machines (improved SMO algorithm), polytope distance computation (GJK algorithm) and model predictive control (stability theory) are highly cited.

He has published more than 100 papers in leading journals and conferences. His current research focuses on kernel methods, in particular on the development of fast kernel methods for large scale datamining problems.

Prior to joining Yahoo!, he worked for 10 years at the Indian Institute of Science, Bangalore, and for 5 years at the National University of Singapore.

Dr. Keerthi is an Associate Editor for the IEEE Transactions on Automation Science and Engineering.