Artificial Intelligence & Innovation

Our Research

At SFU’s School of Computing Science, artificial intelligence is driving groundbreaking research across machine learning, computer vision, computer graphics, natural language processing, robotics, knowledge representation and reasoning, constraint optimization, and intelligent systems.

Our researchers are pushing the boundaries of AI, from developing machines that understand and interpret the visual world to creating intelligent robots, learning systems, and computational tools that address complex real-world challenges.

IN CANADA FOR COMPUTER GRAPHICS

IN CANADA FOR COMPUTER VISION

IN CANADA FOR ROBOTICS

IN CANADA FOR Databases

Research Collaborations

SFU VINCI

VINCI is a research institute at SFU focusing on Visual, Interactive, and INtelligent Computing

The Visual, Interactive, and Intelligent Computing Institute (VINCI) is an institute at Simon Fraser University (SFU) that brings together faculty from various departments to collaborate on research and education in the areas of visual computing, interactive computing, intelligent computing (AI/ML), social implications, and domain-specific applications.

Learn more about VINCI

SFU Neuro+AI

SFU's Neuro+AI is bringing together neuroscience, neurotechnology, brain imaging, and artificial intelligence to better understand the brain and improve brain health.

The initiative brings together a cluster of researchers from the SFU Institute for Neuroscience and Neurotechnology (INN) and the SFU Visual, Interactive, and Intelligent Computing Institute (VINCI) committed to working at the intersection of brain science and AI.

Learn more about SFU Neuro+AI

Faculty Leading AI Innovation in Industry

Associate Professor, Yasutaka Furukawa, is a world-renowned computer vision and machine learning specialist leading the expansion of self-driving car startup Wayve Technologies into Vancouver, B.C.

Dr. Furukawa is the Principal Scientist at Wayve.

Learn more about Wayve

Associate Professor, Mo Chen, is the Co-founder of MA Robot AI.

Ma Robot AI's interpretable AI understands how agents move in time and space with human-level intuition, enabling robots to safely support healthcare logistics for better care at lower costs, and allowing autonomous vehicles to drive more safely and less conservatively.

Learn more about Ma Robot AI

School of Computing Science