Dr. Vladimir (Vlad) Estivill-Castro

Machine intelligence and Pattern Analysis Laboratory

Project II: Discrimination of echoes in computer based ultrasonic flaw detection for CAD modeled steel pieces

Aims:
(1) To develop techniques from artificial
intelligence, machine learning and data mining that can filter and discriminate mode-converted echoes in UT flaw detection, and to
(2) incorporate domain knowledge from the CAD model of the piece that describes its design features.

Colaborators: Guy Cotteril and John Perceval (CSPope industrial partner)

Funding: ARC SPIRT grant

Project III: Robots