Bidur Khanal is a fourth-year PhD student at the Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, working under Prof. Cristian A. Linte at the Biomedical Modeling, Visualization, and Image-guided Navigation Lab (BiMVisIGN). His research focuses on developing robust deep learning models for medical image classification and segmentation in scenarios with limited or noisy labeled data. He addresses practical challenges in medical AI where obtaining high-quality annotations is expensive and time-consuming. Before his PhD, Bidur gained professional experience at NAAMII, Zeg.ai (a 3D AI solution startup), and NDS (an embedded systems and IoT startup). He completed his undergraduate studies in Electronics and Communication Engineering at IOE, Pulchowk Campus, Nepal. His PhD research spans active learning, learning with noisy labels, self-supervised learning, and continual learning, with a strong foundation in imaging science principles.