A Guide to Convolutional Neural Networks for Computer Vision / Synthesis Lectures on Computer Vision (PDF)

Australia in the area of computer vision and machine learning in 2016. He is currently working as a research associate in the school of computer science and software engineering at the University of Western Australia, Crawley, Australia. He has been awarded the ""Start Something Prize for Research Impact through Enterprise"" for 3D facial analysis project funded by the Australian Research Council. He has served as a program committee member for ACIVS 2017. His research interests include deep learning, computer vision, and pattern recognition.Mohammed Bennamoun received his M.Sc. from Queen's University, Kingston, Canada in the area of Control Theory, and his Ph.D. from Queen's QUT in Brisbane, Australia, in the area of Computer Vision. He lectured Robotics at Queen's, and then joined QUT in 1993 as an associate lecturer. He is currently a Winthrop Professor. He served as the Head of the School of Computer Science and Software Engineering at The University of Western Australia (UWA) for five years (February 2007-March 2012). He served as the Director of a University Centre at QUT: The Space Centre for Satellite Navigation from 1998-2002. He served as a member of the Australian Research Council (ARC) College of Experts from 2013-2015. He was an Erasmus Mundus Scholar and Visiting Professor in 2006 at the University of Edinburgh. He was also a visiting professor at CNRS (Centre National de la Recherche Scientifique) and Telecom Lille1, France in 2009, The Helsinki University of Technology in 2006, and The University of Bourgogne and Paris 13 in France in 2002-2003. He is the co-author of the book Object Recognition: Fundamentals and Case Studies Ontology Learning and Knowledge Discovery Using the Web, published in 2011. Mohammed has published over 100 journal papers and over 250 conference papers, and secured highly competitive national grants from the ARC, government, and other funding bodies. Some of these grants were in collaboration with industry partners (through the ARC Linkage Project scheme) to solve real research problems for industry, including Swimming Australia, the West Australian Institute of Sport, a textile company (Beaulieu Pacific), and AAM-GeoScan. He worked on research problems and collaborated (through joint publications, grants, and supervision of Ph.D. students) with researchers from different disciplines including animal biology, speech processing, biomechanics, ophthalmology, dentistry, linguistics, robotics, photogrammetry, and radiology. He has collaborated with researchers from within Australia (e.g., CSIRO), as well as internationally (e.g. Germany, France, Finland, U.S.). He won several awards, including the Best Supervisor of the Year Award at QUT in 1998, an award for teaching excellence (research supervision), and the Vice-Chancellor's Award for Research Mentorship in 2016. He also received an award for research supervision at UWA in 2008. He has served as a guest editor for a couple of special issuesin international journals, such as the International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI). He was selected to give conference tutorials at the European Conference on Computer Vision (ECCV), the International Conference on Acoustics Speech and Signal Processing (IEEE ICASSP), the IEEE International Conference on Computer Vision (CVPR 2016), Interspeech (2014), and a course at the International Summer School on Deep Learning (DeepLearn2017). He has organized several special sessions for conferences, including a special session for the IEEE International Conference in Image Processing (IEEE ICIP). He was on the program committee of many conferences, e.g., 3D Digital Imaging and Modeling (3DIM) and the International Conference on Computer Vision. He also contributed in the organization of many local and international conferences. His areas of interest include control theory, robotics, obstacle avoidance, object recognition, machine/deep learning, signal/image processing, and computer vision (particularly 3D).