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Sathyanarayanan Aakur

Computer Vision Pattern Recognition Management Information Systems Electronics And Communication Engineering
3101P Shelby Center

About

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 Performance Summary

56
Total Papers
642
Total Citations
12
H-Index
2017-2025
Active Research Span

First Recorded Paper

Towards a knowledge-based approach for generating video descriptions

Year: 2017

Citations: 7

Venue: 2017 14th Conference on Computer and Robot Vision (CRV)

Latest Recorded Paper

Hallucinate, Ground, Repeat: A Framework for Generalized Visual Relationship Detection

Year: 2025

Citations: 0

Venue: arXiv preprint arXiv:2506.05651

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
9
2024
9
2023
3
2022
11
2021
4
2020
7
2019
7
2018
5
2017
1

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 29
Journal 3
Book 2

Top Coauthors

Aakur Sarkar

Research Impact by Period

2025-2026

Period Stats
Papers 9
Citations 5
Avg. Citations / Paper 0.6
H-Index 1

2020-2024

Period Stats
Papers 34
Citations 259
Avg. Citations / Paper 7.6
H-Index 9

2015-2019

Period Stats
Papers 13
Citations 378
Avg. Citations / Paper 29.1
H-Index 8

Contact and Professional Links

Contact Information

san0028@auburn.edu
3348446348

Detected Research Keywords

Open World Egocentric Fine Grained Action Grained Action Detection Craft Neuro Symbolic Neuro Symbolic Framework