I am a Research Scientist at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST), working with Professor Bernard Ghanem in the Image and Video Understanding Laboratory (IVUL).
Education and Early Career
I got my bachelor degree in Electrical Engineering, from the American University of Beirut (AUB), Lebanon in 2006, and then a Ph.D. in Computer Science from University of Dundee in Dundee, UK. After my PhD, I joined KAUST as a Postdoctoral Fellow in Visual Computing Center (VCC) from 2012 to 2014. Later I worked as an Integrative Activities Specialist at the Office of Sponsored Research in KAUST for 2 years. At that point I took the leap and co-founded an e-commerce startup, Fig, where I served as CTO. Following this great entrepreneurial experience, I returned to KAUST as a Research scientist in 2018, where I am currently based.
I am interested in problems related to 3D computer vision. In general, I try to develop algorithms to better understand the 3D world around us with the help of sensors like RGB-D cameras, LiDAR, and others. I work mostly with point clouds, and I am looking for ways to efficiently apply deep learning to this data modality. Recently, I have been involved with graphs and Graph Convolutional Networks (GCNs), where our team is developing efficient ways to train very deep GCN models. I am also interested in applying deep learning to image reconstruction, 3D object detection and generation, and autonomous vehicles.