Faisal Qureshi

Guest professor in deep learning/machine learning from the University of Ontario Institute of Technology, Canada

Faisal Qureshi is an Associate Professor of Computer Science at University of Ontario Institute of Technology (OntarioTechU), where he directs the visual computing lab. He holds a Ph.D. and an M.Sc. in Computer Science from the University of Toronto, Canada, an M.Sc. in Electronics from Quaid-e-Azam University, Pakistan, and a B.Sc. in Mathematics and Physics from Punjab University, Pakistan. He joined OntarioTechU in 2008 from Autodesk Canada Co., Toronto. Dr. Qureshi's research interests center around computer vision, camera networks, and video summarization. He is a recipient of Computer Robot Vision (CRV) 2017 Best Vision Paper award and ACM/IEEE International Conference on Distributed Smart Cameras 2007 Outstanding Paper award. Dr. Qureshi is also active in journal special issues and conference organizations, serving as the general co-chair for the Workshop on Camera Networks and Wide-Area Scene Analysis (co-located with CVPR) in 2011-13. In addition he served as the co-chair of CRV 2015/16. He is a senior member of the IEEE, a member of the ACM, and a member of CIPPRS.



Embedded Deep Learning Systems

Sidan uppdaterades 2023-09-21