Imagination is one of the key properties of human intelligence that enables us not only to generate creative products like art and music, but also to understand the visual world.
Website
Education Profile
- Ph.D., Computer Science, Rutgers University, United States, 2016
- M.Sc., Computer Science, Rutgers University, United States, 2014
- M.Sc., Computer Systems, Ain Shams University (ASU), Egypt, 2010
- B.Sc., Computer Systems, Ain Shams University (ASU), Egypt, 2006
Location
Honors & Awards
- Best paper award for his work on creative fashion generation at ECCV workshop from Tamara Berg of UNC chapel hill and sponsored by IBM Research and JD AI Research in 2018.
- Dr. Elhoseiny received the Doctoral Consortium award at CVPR 2016 and an NSF Fellowship for his Write-a-Classifier project in 2014.
Mohamed Elhoseiny is an Assistant Professor in Computer Science (CS) Program at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST).
Education and early career
Dr. Elhoseiny received his Ph.D. degree from Rutgers University, New Brunswick, in October 2016 under Prof. Ahmed Elgammal. His work has been widely recognized. In 2018, he received the best paper award for his work on creative fashion generation at ECCV workshop from Tamara Berg of UNC chapel hill and sponsored by IBM Research and JD AI Research. The work got also featured at the New Scientist Magazine and he co-presented it the Facebook F8 annual conference with Camille Couprie. His earlier work on creative art generation was featured by the New Scientist magazine and MIT technology review in 2017, HBO Silicon Valley TV Series ( season 5 episode 3) in 2018. His Creative AI artwork was featured/presented at the best of AI meeting 2017 at Disney (6000+ audience), Facebook's booth at NeurIPS 2017, and the official FAIR video in June 2018. His work on life-long learning was covered at the MIT technology review in 2018. In Nov 2018 and based on his 5-year work on zero-shot learning, Dr. Elhoseiny made significant participation in the United Nations Biodiversity conference (~10,000 audience from >192 countries and tens of important organization) on how AI may benefit biodiversity which reflects in both disease management and climate change.
Areas of expertise and current scientific interests
Dr. Elhoseiny has collaborated with several researchers at Facebook AI Research including Marcus Rohrbach, Yann LeCun, Devi Parikh, Dhruv Batra, Manohar Paluri, Marc'Aurelio Ranzato, and Camille Couprie. He has also fruitfully teamed up with academic institutions including KULeuven (with Rahaf Aljundi and Tinne Tuytelaars), UC Berkeley (with Sayna Ebrahimi and Trevor Darrell), the University of Oxford (with Arslan Chaudry and Philip Torr), and the Technical University of Munich (with Shadi AlBarqouni and Nassir Navab). His primary research interests are in computer vision, the intersection between natural language and vision and computational creativity.