Graduate Seminars

back Back to all Graduate Seminars

EE Graduate Seminar: Research at the Image and Video Understanding Lab (IVUL)

Start Date: February 3, 2019
End Date: February 3, 2019

By Professor Bernard Ghanem (KAUST)

In this talk, I will give an overview of research done in the Image and Video Understanding Lab (IVUL) at KAUST. At IVUL, we work on topics that are important to the computer vision and machine learning communities, including large-scale activity recognition, robust object tracking, simulation-based self-navigating vehicles (e.g. cars and unmanned aerial vehicles (UAVs)), deep network analysis (e.g. robustness and interpretability), and structured (e.g. sparse and low-rank) optimization to name a few. Throughout the talk, I will highlight some of the interesting ongoing projects at IVUL to encourage students to get interested in the field.
 
Bio: Bernard Ghanem is currently an Associate Professor in the CEMSE division and a theme leader at the Visual Computing Center at KAUST. Before that, he was a Senior Research Scientist at the University of Illinois Urbana-Champaign (UIUC) in Singapore. His research interests lie in computer vision, machine learning, and structured optimization. He received his Bachelor’s degree in Computer and Communications Engineering from the American University of Beirut (AUB) in 2005 and his MS/PhD in Electrical and Computer Engineering from UIUC in 2010. He has co-authored more than 80 peer reviewed conference and journal papers in his field. His work has received several awards and honors, including the two Best Paper Awards (CVPRW 2013 and ECCVW 2018), a two-year KAUST Seed Fund, and a Google Faculty Research Award in 2015 (only one from a Saudi university). Visit ivul.kaust.edu.sa and www.bernardghanem.com for more details.
 

More Information:

For more info contact: Prof. Bernard S. Ghanem : email: Bernard.Ghanem@kaust.edu.sa
 
Date: Sunday 3rd Feb 2019
Time:12:00 PM - 01:00 PM
Location: Building 9, Lecture Hall 1 Room 2322
Light Lunch will be provided