AI-based shape optimization

 

This research project investigates techniques for representing and processing geometric data for machine learning and computing optimal shapes for design. Shape optimization is a fundamental element that appears in any design problem where shape is a parameter. It is relevant in designing industrial products such as automobiles, airplanes, medical devices and personal protective equipment; virtual movie or game characters; and molecular structures for materials and drugs.

As a collaborator, the University of British Columbia will bring their recent breakthroughs in finite element models of the human body and design of products that make contact with the human body to the project, while the NRC will provide expertise in human shape measurement and parameterization.

Project team

Dr. Dinesh K. Pai

Dr. Dinesh K. Pai is a professor and Tier 1 Canada Research Chair in the Department of Computer Science at the University of British Columbia, where he also directs the Sensorimotor Systems Laboratory. He is a leader in computational modelling of physical systems in human movement and neural control of movement. His multi-disciplinary research spans computer graphics, scientific computing, computational mechanics, artificial intelligence, robotics and biomechanics.

Find out more about Dr. Pai.

Dr. Chang Shu

Dr. Chang Shu is a researcher with the National Research Council of Canada. He is an expert in geometry processing and modelling. He is known for his work in applying statistical shape analysis to 3-D anthropometric data and its applications in design and ergonomic analysis.

Find out more about Dr. Shu.