Bhavin Jawade

I'm a Ph.D. student in Computer Science at the University at Buffalo (SUNY) currently working on biometrics and computer vision. My research focuses on developing novel deep learning architectures for unconstrained biometric recognition, particularly for face and fingerprint recognition in challenging real-world scenarios.

I previously worked on representation learning and feature fusion techniques at UB's Center for Unified Biometrics and Sensors (CUBS) under the guidance of Dr. Srirangaraj Setlur and Dr. Venugopal Govindaraju. My work has led to several publications in top-tier computer vision and biometrics conferences including WACV, IJCB, and ICDAR. Some of my notable contributions include CoNAN, a conditional neural aggregation network for unconstrained face recognition, and RidgeBase, a large-scale cross-sensor fingerprint dataset.

My current research interests span biometric recognition, multi-modal learning, and self-supervised representation learning. I'm particularly interested in developing robust deep learning solutions that can work reliably in unconstrained real-world settings with limited supervision. Through my work, I aim to advance the state-of-the-art in biometric systems while making them more practical and accessible.