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Sriraam Natarajan

Sriraam Natarajan

Professor - Computer Science
 
972-883-4163
ECS 3.402

Not currently accepting undergraduate students

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Professional Preparation

PhD - CS
Oregon State - 2007
MS - CS
Oregon State - 2004
BS - CS
University of Madras - 2001

Research Areas

Artificial Intelligence and Machine Learning
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.

Awards

AAAI Fellow - Association for Advancement of AI [2025]
AAIA Fellow - Asian Artificial Intelligence Association [2025]
President's Teaching Award for Excellence in Graduate Education - UTD [2024]
hessian.AI Fellow - TU Darmstadt [2023]
WSAI Distinguished Faculty Fellow - IIT Madras [2022]
Regents Teaching Award - Indiana University [2015]

Appointments

Professor
UT Dallas [2020–Present]
Associate Professor
UT Dallas [2017–2020]
Associate Professor
Indiana University [2016–2017]
Assistant Professor
Indiana University [2013–2016]
Assistant Professor
Wake Forest University School of Medicine [2010–2013]
Post-doctoral research associate
University of Wisconsin-Madison [2008–2010]

News Articles

Interview with AAAI Fellow
Each year the AAAI recognizes a group of individuals who have made significant, sustained contributions to the field of artificial intelligence by appointing them as Fellows. Over the course of the next few months, we’ll be talking to some of the 2025 AAAI Fellows. In this interview we hear from Sriraam Natarajan, Professor at the University of Texas at Dallas, who was elected as a Fellow for “significant contributions to statistical relational AI, healthcare adaptations and service to the AAAI community”. We find out about his career path, research on human-allied AI, reflections on changes to the AI landscape, and passion for cricket.
Computer Scientist Receives Recognition for AI Contributions
Natarajan, a professor of computer science at The University of Texas at Dallas, is now an expert in AI and recently was named a fellow of the Association for the Advancement of Artificial Intelligence (AAAI). The AAAI Fellows program recognizes individuals across the globe who have made significant, sustained contributions to the field of AI.
Prof. Sriraam Natarajan is invited speaker @ ACAI 2018
Catch Prof. Sriraam Natarajan teach Human Allied Statistical Relational AI at ACAI 2018 Summer School on Statistical Relational Artificial Intelligence on August 27-31, 2018 at Ferrara, Italy.

Statistical Relational AI (StaRAI) Models combine the powerful formalisms of probability theory and first-order logic to handle uncertainty in large, complex problems. While they provide a very effective representation paradigm due to their succinctness and parameter sharing, efficient learning is a significant problem in these models. First, I will discuss state-of-the-art learning methods based on boosting that is representation independent. Our results demonstrate that learning multiple weak models can lead to a dramatic improvement in accuracy and efficiency.

Activities

Moderator, arXiv
2024-Present (cs.LG)
Executive council member
AAAI 2025-2028
Program co-chair, AAAI
2024
General co-chair, ACM CODS
2024
Associate Editor, JAIR
2018-Present
Associate Editor, DMKD
2020-Present
Associate Editor, Big Data
2018-Present
Associate Editor, ACM AI Letters
2025-Present

Affiliations

Adjunct Professor, IIT Madras
2020/01
Adjunct Faculty of Computer Science and Wadwani School of AI
Visiting Faculty
2015/06
Wake Forest University, CS
Visiting Professor
2023/06
 Koita Centre for Digital Health at IIT Bombay