Fakhri Karray, PEng

Fakhri Karray, PEng
Professor Emeritus

Biography

Dr. Fakhri Karray is a Professor Emeritus in the Department of Electrical and Computer Engineering. He previously held the Loblaws Research Chair in Artificial Intelligence and served as co-Director of the University of Waterloo Artificial Intelligence Institute.

His research focuses on operational artificial intelligence, cognitive machines, natural human-machine interaction, and autonomous intelligent systems. Dr. Karray’s work has applications in the development of cognitive, self-aware machines, robots, and vehicles, as well as in predictive analytics for supply chain management and intelligent transportation systems. He is a Fellow of the Canadian Academy of Engineering, the Engineering Institute of Canada, and the IEEE, and has served as an IEEE Distinguished Lecturer.

Research Interests

  • Operational Artificial Intelligence

  • Computational intelligence

  • Natural Human-machine interaction

  • Cognitive Robotics

  • Autonomous and self aware machines

  • AI Based Supply Chain

Education

  • 1989, Doctorate Systems and Control, University of Illinois at Urbana-Champaign, United States

  • 1984, Ing. Dip (M.Sc) Electrical Engineering, Universite de Tunis, Ecole Nationale d'Ingénieurs, Tunisia

Awards

  • 2007 Keynote Speaker at the 2007 Fourth International Conference on Computational Intelligence, Robotics and Autonomous Systems

  • 2008 The University of Waterloo's Outstanding Performance Award

  • 2008 Keynote Speaker at the 2008 International Congress of Arab Expatriate Engineers

  • 2008 Keynote Speaker at the 2008 International Conference on Technology, Communication and Education

  • 2009 Plenary Speaker at 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA 2009)

  • 2009 Honorary Professorship, De La Salle University, Philippines

  • 2009 Plenary Speaker at the 5th International Conference on Humanoid, Nanotechnology and Information Technology

Teaching*

  • ECE 457B - Fundamentals of Computational Intelligence
    • Taught in 2021

* Only courses taught in the past 5 years are displayed.

Selected/Recent Publications

  • Ou, Chaojie and Karray, Fakhri, Deep learning-based driving maneuver prediction system, IEEE transactions on vehicular technology, 1328, 2020

  • Ben Amara, Hassene and Karray, Fakhreddine, End-to-end multiview gesture recognition for autonomous car parking system, Int. Journal of Instrumentation, 76, 2020

  • C. Ou and F. Karray, Enhancing driver distraction recognition using generative adversarial networks, IEEE Trans. Intelligent Vehicles, 385, 2020

  • Nassar, Lobna and Karray, Fakhri, Overview of the crowdsourcing process, Knowledge and Information Systems, 1, 2019

  • El Khatib, Alaa and Ou, Chaojie and Karray, Fakhri, Driver inattention detection in the context of next-generation autonomous vehicles design: a survey, IEEE Transactions on Intelligent Transportation Systems, , 2019

  • Ibrahim, Rania and Elbagoury, Ahmed and Kamel, Mohamed S and Karray, Fakhri, Tools and approaches for topic detection from Twitter streams: survey, Knowledge and Information Systems, 511, 2018

  • Koesdwiady, Arief and Soua, Ridha and Karray, Fakhreddine and Kamel, Mohamed S, Recent trends in driver safety monitoring systems: State of the art and challenges, IEEE transactions on vehicular technology, 4550, 2016

  • Koesdwiady, Arief and Bedawi, Safaa and Ou, Chaojie and Karray, Fakhri, Non-Stationary Traffic Flow Prediction Using Deep Learning, 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), 1, 2018

  • Akhavan, Elham and Shaaban, Mostafa and El-Saadany, Ehab and Karray, Fakhry, New EMS to incorporate smart parking lots into demand response, 2017 IEEE Power \\& Energy Society General Meeting, 1, 2017

Graduate studies

I am currently seeking to accept graduate students. Please submit your graduate studies application and include my name as a potential advisor.