Sathyanarayanan N. Aakur

me
Sathyanarayanan N. Aakur
IEEE Senior Member

Assistant Professor
Department of Computer Science and Software Engineering
Auburn University

Email: san0028 -at- auburn.edu

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We are looking for students to join our lab! Check out Recruiting for more details.

Highlights and News


Fall'24
Serving as Area Chair for IEEE/CVF CVPR 2025! and IEEE/CVF WACV 2025
Summer'24
One paper on social activity understanding accepted at ICPR 2024! Congrats to Shubham Trehan, my Ph.D. student! Preprint can be found here.
Summer'24
One paper on open-world egocentric activity understanding accepted at ECCV 2024! Congrats to my PhD students Sanjoy and Shubham! Preprint can be found here.
Summer'24
One paper on time series understanding accepted at ICPR 2024! Congrats to Ragav, my former MS student whose thesis work drove this paper! Preprint can be found here.
Summer'24
Elevated as IEEE Senior Member!
Spring'24
Invited as Area Chair for BMVC 2024 and NeurIPS 2024 , and SPC for CODS-COMAD 2024!
Spring'24
Invited as Associate Editor for Pattern Recognition!
Spring'24
Congrats to my student Carson Bulgin on winning the 2024-2025 Auburn University Undergraduate Research Fellowship!
Spring'24
One paper on Shape Graph Matching accepted into IEEE International Symposium on Biomedical Imaging (ISBI)! Preprint now online! Congrats Shenyuan (FSU) on his first paper!
Spring'24
One paper on zero-shot genome classification accepted in IEEE Journal of Biomedical and Health Informatics! Preprint now online!
More news..

About Me

I am an Assistant Professor in the Computer Science and Software Engineering Deoartment at Auburn University. Previously, I was an Assistant Professor in the Department of Computer Science at Oklahoma State University, Stillwater.

I received my PhD from University of South Florida, where I worked with Dr. Sudeep Sarkar in the Computer Vision and Pattern Recognition Group and with Dr. Kenneth Malmberg. I received my Master's degree in Management Information Systems from the Muma College of Business at the University of South Florida and my undergraduate degree in Electronics and Communication Engineering from Velammal Engineering College, Anna University, India.

Research

In my research, I’m broadly interested in the intersection of computer vision, natural language processing, and psychology: I aim to build intelligent agents that understand the visual world beyond recognition (labels) or captions (sentences) without the need for explicit human supervision through expensive annotations.

This entails developing approaches that do things such as:

Much of my group's current work focuses on analyzing, modeling, and synthesizing complex video scenes and the semantic structure that can describe them. I also work on applying machine learning to other domains, such as IoTs We also work on use-inspired artificial intelligence research with applications in agriculture and animal diagnostics.

Teaching

Talks