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VCBSL: Visual Computing and Biometric Security Lab

The Visual Computing and Biometric Security Lab is a research group comprising PhD. and Master's students directed by Dr. Ajita Rattani. The mission of the lab 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 bias and fairness of AI systems, deep fake detection, models for on-device AI, wearable biometrics, harnessing unlabeled data for domain adaptation and performance enhancement, and AI for healthcare and obesity prediction.