Wail Gueaieb
Wail Gueaieb
Professor

Ph.D.
M.Sc.
P.Eng.

Room
STE 5080
Phone
613 562-5800 ext. 2158


Biography

Wail Gueaieb received bachelor’s and master’s degrees in computer engineering and information science from Bilkent University, Turkey, in 1995 and 1997, respectively, and then earned a doctorate in systems design engineering from the University of Waterloo in 2001. He is currently a professor in the School of Electrical Engineering and Computer Science (EECS) who is cross-appointed with the Department of Mechanical Engineering (MCG) at the University of Ottawa, Canada. He is also the founder and director of the Machine Intelligence, Robotics, and Mechatronics (MIRaM) Laboratory and a founding member of the Instrumentation and Autonomous Robotic Agents (IARA) Laboratory at the University of Ottawa.

Professor Gueaieb’s research interests span the fields of applied machine learning, intelligent mechatronics, robotics and cyber-physical systems. He has been developing data-driven control methods for highly complex systems of uncertain or unknown dynamics. They employ reinforcement learning paradigms along with variants of dynamic heuristic programming and game theory.

Professor Gueaieb is the author or co-author of over 200 patents and articles in internationally reputed journals and conferences. He has served as an associate editor, guest editor, and program co-chair for several international journals and conferences, such as IEEE Transactions on Instrumentation and Measurement, IEEE/ASME Transactions on Mechatronics, the ASME Journal of Dynamic Systems, Measurement and Control, the International Journal of Robotics and Automation, and the IEEE Conference on Decision and Control. He also worked in industry from 2001 to 2004, during which he contributed to the design and implementation of a new generation of smart automotive safety systems.

Research interests

  • Robotics and mechatronics
  • Applied artificial intelligence
  • Cyber-physical and autonomous systems
  • Intelligent control systems
  • Multi-sensory data fusion