See How Your Research Aligns
Create a free account to analyze your research alignment,
identify potential research gaps, and generate personalized
application documents for this professor.
Create Free Account
Ajita Rattani
Adaptive Biometric Systems
Template Update Procedures
Fairness In Artificial Intelligence (AI)
Deepfake Detection
Deep Learning
About
Ajita Rattani is an Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas. She earned her Ph.D. in Electrical and Computer Engineering from the University of Cagliari in 2010, with a dissertation on Adaptive Biometric System Based on Template Update Procedures. At UNT, she teaches courses including Machine Learning and Directed Study. Her research and publications focus on biometrics, fairness in AI, deep learning, computer vision, and deepfake detection.
Research Performance Summary
2006-2025
Active Research Span
First Recorded Paper
Fusion of iris and fingerprint biometric for recognition
Year:
2006
Citations:
42
Venue:
Proceedings of international conference on signal and image processing
Latest Recorded Paper
DAO-GP Drift Aware Online Non-Linear Regression Gaussian-Process
Year:
2025
Citations:
0
Venue:
IEEE Conference on Big Data
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Rattani
Derakhshani
Kisku
Research Impact by Period
Papers
11
Citations
9
Avg. Citations / Paper
0.8
H-Index
2
Papers
65
Citations
954
Avg. Citations / Paper
14.7
H-Index
18
Papers
32
Citations
1089
Avg. Citations / Paper
34
H-Index
17
Papers
28
Citations
594
Avg. Citations / Paper
21.2
H-Index
15
Papers
27
Citations
1153
Avg. Citations / Paper
42.7
H-Index
17
Contact and Professional Links
Detected Research Keywords
Adaptive Biometric Systems
Ocular Biometric Recognition
Biometric Template Update
Ocular Biometrics Methods
Biometrics Methods Across
Fairness Ocular Biometrics
Feature Level Fusion
Level Fusion Face
Mobile Ocular Biometric
Convolutional Neural Networks