Professor of Mechanical Engineering and Associate Dean in the Faculty of Engineering and Applied Science (Research and Graduate Studies). Room 203, McLaughlin Hall Areas of Research
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The basic research interest of Prof. Surgenor is on the development of intelligent (neuro-fuzzy) controllers for pneumatic servosystems. Exposure to industrially based automation problems led to an applied research interest in the area of intelligent algorithms for machine vision systems as applied to inspection in manufacturing processes. Research on intelligent algorithms has recently been expanded to include applications to control and power management issues in hybrid electric vehicle drivetrains. Prof. Surgenor is also active in the field of mechatronic system design education. Click here for further information on current projects in the Intelligent Automation Laboratory. |
Undergraduate Student Projects (for Summer 2013)
Post-Doctoral Fellow Positions (for Summer 2013)
MECH 898 MEng Projects (for Fall 2013)
- Control and Evaluation of a System for In-Situ Die Lubrication
Recent Graduate Theses
- Position Control of a Pneumatic System using Adaptive Intelligent Methods, Behrad Dehghan (2012 grad)
- Machine Vision Based Inspection: Case Studies on 2D Illumination and 3D Depth Sensors, Mike Yan (2012 grad)
- Vision- Based Fault Detection in Assembly Automation , Greg Szkilnyk (2012 grad)
Current Funding
- NSERC (Discovery Grant)
- OCE (Collaborative with Transformix Engineering)
- MITACS (Internship with Van Rob Kirchhoff Automotive)
Courses
Click here to go to the Department's Research Home Page