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

Start Date: September 16, 2018
End Date: September 16, 2018

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. He has co-authored more than 70 peer reviewed conference and journal papers in his field. His work has received several awards and honors, including the Henderson Graduate Award from UIUC, two consecutive CSE fellowship awards from UIUC, two Best Paper Awards (CVPRW 2013 and ECCVW 2018), a two-year KAUST Seed Fund, and a Google Faculty Research Award in 2015.

More Information:

For more info contact: Prof. Bernard Ghanem: email: Bernard.Ghanem@kaust.edu.sa

Date: Sunday 16th Sep 2018
Time:12:00 PM - 01:00 PM
Location: Bldg. 9 Hall 1 room 2322
Refreshments: Light Lunch will be served at 11:45 AM