Virtual reality is an alternative reality no more. With my work on visualization tools for artificial intelligence and machine learning, I challenge the greatest ally to empower society with new knowledge for a smarter and secure world.
Bernard Ghanem Associate Professor EE

Location

  • Building 1, Level 2, Office 2125 

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Courses

Education Profile

  • Research Scientist, King Abdullah University of Science and Technology (KAUST), 2012
  • Senior Research Scientist, Advanced Digital Sciences Center (ADSC) of Illinois in Singapore, 2011
  • Postdoctoral Fellow, University of Illinois at Urbana-Champaign (UIUC), 2010
  • Ph.D., University of Illinois at Urbana-Champaign (UIUC), 2010
  • M.S., University of Illinois at Urbana-Champaign (UIUC), 2008
  • B.E., American University of Beirut (AUB), 2005

Bernard Ghanem is an Associate Professor of Electrical Engineering (EE). He is the Principal Investigator of the  Image and Video Understanding Lab (IVUL)  and a member of the Visual Computing Center (VCC). Ghanem is also an Adjunct Senior Research Scientist at the Advanced Sciences Digital Center (ADSC) of Illinois, in Singapore where he leads the Semantic Analysis of Video Project. His research interests lie on Computer Vision and  Machine Learning for advancing in the realm of Artificial Intelligence applied to surveillance and autonomous vehicles, smart traffic control, human-computer interaction as well as robotics for environmental and archaeological investigations.

Education and early career

He holds a Ph.D. and M.Sc. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign (UIUC), in 2010 and 2008 respectively, along with a Post Doc from the same university.

Areas of expertise and current scientific interests

Ghanem focuses on novel computational 3D action recognition methods and tools for artificial vision systems to capture and process visual information. His extended body of work is at the forefront of future city design and optimization as well as security monitoring. Ghanem is the father of cutting-edge avatars for environmental and archaeological investigation, such as the humanoid-diver for underwater archaeological research deeper than 20ms.

Why KAUST?

KAUST is the best place for research and was a natural choice for my career. Here who wants to make a difference can feel part of the international community that initiates educational, economic and social change in the region and addresses current global challenges. Top-notch visualization facilities, pioneering teams, and its scientific environment allow daring to visualize the world in which the most advanced knowledge is a future starting today.

Patents

Image Comparison System and Method

Publication number: 20110142335

Video Analysis Based on Sparse Registration and Multiple Domain Tracking

Publication number: 20130335635

SYSTEM AND METHOD FOR CROWD COUNTING AND TRACKING

Publication number: 20160283800

Tensor Voting System and Method

Publication number: 20090060307

SYSTEM AND METHOD FOR THREE-DIMENSIONAL IMAGE RECONSTRUCTION USING AN ABSOLUTE ORIENTATION SENSOR

Publication number: 20180018787

Reduction of Lymph Tissue False Positives in Pulmonary Embolism Detection

Publication number: 20090034816

New camptothecin analogue compounds

Publication number: 20020077325

Selected Publications

Giancola, S., Amine, M., Dghaily, T., Ghanem, B. (2018). SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos, (Preprint). https://hdl.handle.net/10754/627570
Affara, L. A., Ghanem, B., Wonka, P. (2018). Supervised Convolutional Sparse Coding, (Preprint). https://hdl.handle.net/10754/627542
Wu, B., Jia, F., Liu, W., Ghanem, B., & Lyu, S. (2018). Multi-label Learning with Missing Labels Using Mixed Dependency Graphs. International Journal of Computer Vision, 126(8), 875–896. doi:10.1007/s11263-018-1085-3
Escorcia, V., Dao, C. D., Jain, M., Ghanem, B., Snoek, C. (2018). Guess Where? Actor-Supervision for Spatiotemporal Action Localization, (Preprint). https://hdl.handle.net/10754/627508
Wu, B., Chen, W., Sun, P., Liu, W., Ghanem, B., Lyu, S. (2018). Tagging like Humans: Diverse and Distinct Image Annotation, (Preprint). https://hdl.handle.net/10754/627545
Müller, M., Bibi, A. A., Giancola, S., Al-Subaihi, S., Ghanem, B. (2018). TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild, (Preprint). https://hdl.handle.net/10754/627423
Müller, M., Casser, V., Lahoud, J., Smith, N., & Ghanem, B. (2018). Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications. International Journal of Computer Vision, 126(9), 902–919. doi:10.1007/s11263-018-1073-7