Bernard Ghanem is currently a Professor in the CEMSE division, a theme leader at the Visual Computing Center (VCC), and the Deputy Director of the AI Initiative at KAUST. His research interests lie in computer vision and machine learning with emphasis on topics in video understanding, 3D recognition, and theoretical foundations of deep learning. He received his Bachelor’s degree from the American University of Beirut (AUB) in 2005 and his MS/PhD from the University of Illinois at Urbana-Champaign (UIUC) in 2010. His work has received several awards and honors, including six Best Paper Awards for workshops in CVPR, ECCV, and ICCV, a Google Faculty Research Award in 2015 (1st in MENA for Machine Perception), and a Abdul Hameed Shoman Arab Researchers Award for Big Data and Machine Learning in 2020. He has co-authored more than 150 papers in his field. He serves as an Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and has served as Area Chair (AC) for the main computer vision and machine learning conferences including CVPR, ICCV, ECCV, NeurIPS, ICLR, and AAAI. Visit ivul.kaust.edu.sa and www.bernardghanem.com for more details. ​

To find out more click here