Srijan Das

Srijan Das is an Assistant Professor in the Department of Computer Science at the University of North Carolina at Charlotte. His research focuses on Video Representation Learning, Robotic Vision, and applications in healthcare through affiliations with the AI4Health Center and Charlotte Machine Learning Lab (CharMLab). He holds a PhD from INRIA (France) and completed postdoctoral work at Stony Brook University.

Education: PhD in Computer Science (INRIA, 2020), Post-Grad (NIT Rourkela). Research interests span multimodal learning, vision-language-action models, diffusion models for video generation, and AI for healthcare.

Recent achievements include NSF grant funding, 3rd place in WACV 2025's Elderly Action Recognition Challenge, and serving as NeurIPS 2025 Area Chair. His lab advises multiple PhD students and undergraduates in domains like action detection and medical imaging.

Key contributions include the LLAVIDAL model (CVPR 2025), GECKO for histopathology (ICCV 2025), and foundational work on pose-induced video transformers. His research bridges computer vision with robotics applications, emphasizing interpretable AI and real-world deployment.