My research interests lie in the fields of Artificial Intelligence and Machine Learning and their application to healthcare problems. More specifically, I am interested in the areas of Relational Learning, Reinforcement Learning, Graphical Models, and Planning. Please read more about our projects and team on our team webpage.

I am humbled to be selected as a AAAI program co-chair and general co-chair of CODS-COMAD 2024. I am also a hessian.AI fellow, a RBDSCAI distinguished faculty fellow and a AAAI senior member.

Till 2017, I was a faculty member at Indiana University and previously I was an Assistant Professor at Wake Forest School of Medicine. I was a Post-Doc earlier at the Department of Computer Science in the University of Wisconsin Madison, working with Professors Jude Shavlik and David Page.

I completed my PhD in fall 2007 under Professor Prasad Tadepalli in the School of EECS at Oregon State University.

Note to incoming students: If you are interested in working with me, please register for a course that I teach. Also, I do not have any internship/short-term positions.


Humbled to be selected as the AAAI program co-chair for 2024.

Excited to be the program co-chair of CODS-COMAD 2024.

Thanks to hessian.AI for making me a fellow.

Two papers accepted at UAI -- one on integrating probabilistic circuits with information flows and the other on providing inductive bias for learning cutset networks. Check out the pdfs.

Thanks to AAAI for selecting me as a AAAI senior member.

Thanks to UTD ECSS for selecting me for the outstanding graduate teaching award.

Congratulations Harsha Kokel for defending her PhD dissertation.