Visual Computing and Biometric Security Lab (VCBSL)
The Visual Computing and Biometric Security Lab is a research group comprising undergraduates, Masters, and Ph.D. students directed by Dr. Ajita Rattani.
The lab's mission is to conduct cutting-edge research in advanced techniques concerning Visual Computing and Biometric Security.
Visual Computing is a broad term that encompasses several areas in computer science including computer vision image and video processing, machine learning,
deep learning, and pattern recognition. Biometrics is the art of recognizing individuals based on their physiological or behavioral characteristics.
Current research activities of the research group include studying the Bias and Fairness of AI systems, Deepfake Detection, Models for On-device AI, Wearable Biometrics,
Harnessing Unlabeled Data for Domain Adaptation, Computer Vision for Natural Disaster Assessment, and AI for Healthcare and Obesity Prediction.
News
- 01/17/2026 Our paper titled "VOXMORPH: Scalable Zero-Shot Voice Identity Morphing via Disentangled Embeddings" is accepted at IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026.
- 12/10/2025 Our NEXBIS team is honored to have received the NSF Award, “The Present and Accounted For,” in support of our solution addressing one of NSF’s most timely and pressing technology needs in contactless and privacy-preserving biometrics.
- 08/12/2025 Our paper titled "Analyzing and Mitigating Bias of Facial Attribute Classifiers Using Chatgpt" is accepted at Neurocomputing, 2025" (pdf).
- 09/18/2025 Congratulations to Dr. Aarotale on being appointed as an Affiliate Faculty in the Department of Computer Science and Engineering at UNT.
- 08/12/2025 We are honored to have received a $50,000 NSF Award for the project : "Translation Potential of Contactless Biometric System for Secure Recognition."
- 08/12/2025 Our paper titled "WaveVerify: A Novel Audio Watermarking Framework for Media Authentication and Combatting Deepfakes" is accepted at IEEE International Joint Conference on Biometrics, 2025" (pdf).
