Fouad Bousetouane
RTIS-Laboratory
University of Nevada Las Vegas
USA
Biography
Dr. Fouad Bousetouane, Received his BSc in computer science and mathematics, in 2008 and Master by Research degree in Artificial Intelligence and Pattern Recognition from Badji Mokhtar University, Algeria, in 2010. He obtained his PhD in Artificial Intelligence and Computer Vision from UBMA-University (Algeria), co-supported by LISIC-Laboratory (France) in 2014. He is valedictorian, member of International Association of Computer Science and Information Technology (IACSIT) and Computer Vision Foundation (CVF). He collaborated with researchers from CNRS-Lille (France) and LISIC-laboratory (France) for developing computer vision algorithms for multi-object tracking, handoff management, dynamic/static occlusion handling and re-identification across multi-sensor networks. He is Co-Founder of Robotics and Intelligent Computing Startup. He authored many technical articles in machine learning, computer vision, satellite image processing, and served as a reviewer for top ranked journals and conferences including ( IET-Image Processing journal, IEEE transaction journal on Intelligent Transportation Systems, IEEE-IROS2012 and IEEE-ITSC-2015). Currently, he is a postdoctoral researcher in computer vision and Artificial intelligence at Real-Time Intelligent Systems (RTIS) laboratory, University of Nevada, Las Vegas, USA. His research interests include artificial intelligence, pattern recognition, probabilistic graphical models and Bayesian computation, machine learning, computer vision and deep learning.
Abstract
Abstract : Uncertainty Quantification in Computer Vision Problem: Application to Transportation