Statistical Artificial Intelligence and Relational Learning Group is interested in making smart machines that humans can use reliably in their everyday lives. Artificial Intelligence (AI) has made tremendous progress since its early days, and its advancement has helped shape the progress of research in many other fields. Traditionally, AI is used with either the logical approach to address structured problems or with the statistical approach to handle uncertainty. Our research interests lie at the intersection: advancement and application of algorithms that can do both.

Research Highlights


Latest News



 21 Aug 2019 Professor Natarajan will be a program co-chair for SDM 2020
Professor Natarajan is serving as the program co-chair for SIAM Conference on Data Mining (SDM) 2020 with Professor Y...

 04 Apr 2019 Professor Natarajan is the Program Chair for CODS-COMAD 2020
Professor Natarajan is serving as one of the Program Chairs for CODS-COMAD 2020 to be held in Hyderabad from 5th to 7...

 25 Mar 2019 Nandini's paper on Causal learning for Post-Partum Depression accepted to AAAI 2019 Spring Symposium
Nandini’s paper on Causal learning for Post-Partum Depression accepted to AAAI 2019 Spring Symposium on “Beyond Curve...

 04 Dec 2018 Professor Natarajan gave a keynote at IIT Madras as distinguished faculty
Professor Sriraam Natarajan was recognized as a Distinguished Faculty by Robert Bosch Centre for Data Science and AI ...

 04 Dec 2018 Professor Natarajan is the director of THE CENTER FOR MACHINE LEARNING at UTD
Professor Sriraam Natarajan is the director for THE CENTER FOR MACHINE LEARNING at UTD. The purpose for this centre ...

For previous news, see the News Archive

Funding History


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2012
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Acknowledgements