Sanjay Bhandari is a Research Assistant at NAAMII working in the MMLL group. He graduated in Computer Engineering from Pulchowk Campus, IOE, and specializes in few-shot learning, multimodal learning, and computer vision applications for medical AI. He has been actively involved in the ARCADE Challenge at MICCAI 2023, contributing to advancing medical image analysis techniques. His research on adversarial few-shot learning addresses the challenge of building robust models that can learn from limited labeled examples while being resistant to adversarial perturbations.