" I have always been intrigued by new challenges as they provide the best opportunities to make progress in life. By joining QCRI, I accepted the challenge to help build a strong research institute that strives for pursuing world-class research to advance science and technology in the interest of society in a happening part of the World, Qatar.
Dr. Ferda Ofli is a Scientist at Qatar Computing Research Institute's Social Computing group. Before joining QCRI in 2014, Dr. Ofli was a postdoctoral researcher in the Teleimmersion Lab working with Prof. Ruzena Bajcsy at the University of California, Berkeley (UCB). He received B.Sc. degrees both in Electrical and Electronics Engineering and Computer Engineering, and the Ph.D. degree in Electrical Engineering from Koç University, Istanbul, Turkey, in 2005 and 2010, respectively. Dr. Ofli pursued his Ph.D. work in the Multimedia, Vision and Graphics Laboratory (MVGL) at Koç University under supervision of Prof. Engin Erzin, Prof. Yücel Yemez and Prof. A. Murat Tekalp. He received the Graduate Studies Excellence award in 2010 for outstanding academic achievement at Koç University. Dr. Ofli is a member of IEEE and ACM.
In the Media
Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...
Each year, Qatar Computing Research Institute organizes a summer internship program for undergraduate students studying computer science, computer engineering and other disciplines. The internship is unpaid, and QCRI does not provide any visa support.
Artificial Intelligence for Oncology: Learning to Cure Cancer from Images and Text A talk by Professor Regina Barzilay, MIT CSAIL Winner of 2017 MacArthur ‘genius grant’ At Education City Student ...
Urban computing experts from Europe, the US and Qatar are to discuss state-of-the-art advances in artificial intelligence for transportation with local stakeholders.
Two-day crash course to provide hands-on introduction to machine learning for industry practitioners, developers, graduate students and undergraduates.
QCRI scientists travel to MIT-CSAIL campus in Boston to update research projects.