Brian W. Surgenor, P.Eng


Room 225, Nicol Hall
Phone: (613) 533-2568
Fax: (613) 533-6489

Areas of Research

  • Machine vision
  • Autonomous vehicles 
  • Manufacturing automation
  • Mechatronics engineering education
Brian Surgenor


conveyor for part inspection

Prof. Surgenor's early research interest was in the area of pneumatic servosystems. Exposure to automation problems in manufacturing led to an applied research interest in the area of intelligent algorithms for machine vision systems. A developing interest is in the area of vision systems for off-road autonomous vehicles. Prof. Surgenor is also active in the field of mechatronic system design education.

Further information on current projects in the Intelligent Automation Laboratory.


Current Research Projects

Interested students should identify which of the following projects are best in-line with their own background and experience.

Recent Graduate Student Theses

  • A Flexible Machine Vision System for Small Parts Inspection Based on a Hybrid SVM/ANN Approach, Keyur Joshi (2018 PhD grad)
  • Fault Detection and Classification in Automated Assembly Machines Using Machine Vision, Vedang Chauhan (2016 PhD grad)
  • ANNs for Fault Detection and Identification on an Automated Assembly Machine, Heshan Fernando (2014 MASc grad) 


Click here to go to the Department's Research Home Page