fakhri karray

Prior to joining MBZUAI, Professor Karray held the Loblaws Research Chair in Artificial Intelligence in the department of electrical and computer engineering at the University of Waterloo, Canada.He is the Inaugural co-Director of the AI Institute at the University of Waterloo (Canada), and served as the Provost of MBZUAI. Professor Karray is a Fellow and Distinguished Lecturer of the IEEE, a Fellow of the Canadian Academy of Engineering and a Fellow of the Engineering Institute in Canada. He earned his Ph.D. degree from University of Illinois Urbana Champaign, USA.

Professor Karray was honored in 2021 by the IEEE Vehicular Technology Society (VTS) for his novel work on improving traffic flow prediction using weather Information in connected cars through deep learning and tools of AI. He is the co-author of recently published textbook “Elements of Dimensionality Reduction and Manifold Learning”, Springer 2023.

He is the co-founder and Chief Scientist of Yourika.ai, a provider of AI-based online learning systems.

• Fellow, the IEEE
• Fellow, Canadian Engineering Institute
• Fellow, Canadian Academy of Engineering
• Fellow, Kavli Frontiers of Science
• The 2022 IEEE Communication Society’s International Mediterranean Conference on Communications and Networking Best Paper Award, Sept. 2022
• The 2021 IEEE Vehicular Technology Society (VTS) Land Transportation Best Paper Award, September 2021
• Best Paper Award, 18th IEEE International Conference on Cognitive Informatics and Cognitive Computing, Milan, Italy, 2019
• The 2014 Pattern Recognition Best Paper Award for best article published in the Journal Pattern Recognition, awarded in August 2014
• Keynote Speaker at the 3rd International Conference on Machine Learning for Networking (MLN'2020), Paris, France, Nov. 24 -26, 2020
• The University of Waterloo’s Faculty of Engineering Distinguished Performance Award, 2019