
- Research Assistant at NAAMII (TOGAI Group)
- Bachelor's in Computer Engineering
- Working on medical image segmentation
Nishant Luitel is a Research Assistant at NAAMII in the TOGAI group, fresh from completing his Bachelor's in Computer Engineering. His primary focus at NAAMII is medical segmentation, applying deep learning techniques to automatically identify and delineate anatomical structures and pathologies in medical images. His research interests extend broadly across artificial intelligence, encompassing computer vision, natural language processing, reinforcement learning, and graph theory. This diverse curiosity drives him to explore connections between different AI domains and their potential applications in solving complex real-world problems.
Publications
2026
RobustFormer: Noise-Robust Pre-training for images and videos
Ashish Bastola, Nishant Luitel, Hao Wang, Danda Pani Paudel, Roshni Poudel, Abolfazl Razi
Peer Reviewed Conference articlePUSHVIC (Providential Use of Spatial and Human Visual Computing)