Arash Vahdat

Biography
Arash Vahdat is a principal research scientist at NVIDIA research specializing in machine learning and computer vision. Before joining NVIDIA, he was a research scientist at D-Wave Systems where he worked on deep generative learning and weakly supervised learning. Prior to D-Wave, Arash was a research faculty member at Simon Fraser University (SFU), where he led research on deep video analysis and taught graduate-level courses on machine learning for big data. Arash obtained his Ph.D. and M.Sc. from SFU under Greg Mori’s supervision working on latent variable frameworks for visual analysis. His current areas of research include deep generative learning, weakly supervised learning, efficient neural networks, and probabilistic deep learning.
Presentations
ACM Gordon Bell COVID Finalist
ACM Gordon Bell Finalist
Awards Presentation
Recorded
Awards
TP