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CS Graduate Seminar| Research at the Image and Video Understanding Lab (IVUL)

Start Date: September 11, 2017
End Date: September 11, 2017

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)), 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.
 
 
Biography: Bernard Ghanem is currently an Assistant 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, where he still holds an adjunct position. His research interests lie in computer vision, machine learning, and optimization geared towards real-world applications. 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. His work has received several awards and honors, including the Henderson Graduate Award from UIUC, two consecutive CSE fellowship awards from UIUC, a Best Paper Award (CVPRW 2013), a two-year KAUST Seed Fund, and a Google Faculty Research Award in 2015. He has co-authored more than 50 peer reviewed conference and journal papers in his field, as well as, 4 patents. 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: Monday 11th Sep 2017
Time:12:00 PM - 01:00 PM
Location: Building 9, Lecture Hall 1 Room 2322
Refreshments: Brown Bag lunch will be available from 11:45am