Human-robot collaboration, knowledge representation and reasoning, cognitive systems, machine learning, and control systems. My primary research interests include knowledge representation and reasoning, cognitive systems, machine learning, and control systems, as applied to adaptive robots and agents collaborating with humans. I design algorithms and architectures that: (a) represent and reason with qualitative and quantitative descriptions of commonsense domain knowledge and uncertainty; (b) learn interactively and cumulatively based on multimodal sensor cues obtained from the environment and humans; and (c) enable designers to understand the robot’s behavior and establish that it satisfies desired properties. Furthermore, I am interested in developing algorithms that support automation in domains such as climate informatics, agricultural irrigation management, and intelligent transportation.

• 5/04–8/07: PhD in Electrical and Computer Engineering at The University of Texas at Austin. GPA: 4.0. Robust Autonomous Structure-Based Color Learning on a Mobile Robot. Advisors: Dr. Peter Stone and Dr. Benjamin Kuipers.

• 8/01–5/04: M.S. (thesis option) in Electrical and Computer Engineering at The University of Texas at Austin. GPA: 4.0. Human Skin Recognition in Color Images using Multi-Level Decision Trees. Advisor: Dr. J. K. Aggarwal.

• 7/97–5/01: B.E in Electrical Engineering from University of Madras, India. GPA: 87%.