Welcome to the David R. Cheriton School of Computer Science
The Cheriton School of Computer Science is named for David R. Cheriton, who earned his PhD in Computer Science in 1978, and made a transformational gift to the school in 2005. It has become the largest academic concentration of Computer Science researchers in Canada.
Discover our latest achievements by following our news and events.
Please go to contact, open positions or visit if you have a question about school programs or services, would like to know more about faculty positions available or plan to visit our school.
News
- July 15, 2019Emotionally intuitive artificial intelligence
People suffering from the early symptoms of Alzheimer’s disease often have difficulty remembering things that recently happened to them. As the disease takes root, a person’s reasoning and behaviour can change. Day-to-day routines — like handwashing — may become challenging for them and they begin to need more assistance from caregivers for simple tasks.
But now there is technology that can help.
- June 28, 2019The near miss that became a molecular hit
“From my readings, I have stumbled upon your great website, which is … helping me understand the nature of polyhedra. I have a question regarding the structures you have posted on your site. I am not a mathematician; I am a biologist and therefore my question might sound downright naïve. The structure in question is the near-miss Johnson solid …”
- June 28, 2019Professor Ian Goldberg named tier 1 Canada Research Chair in Privacy Enhancing Technologies
Cheriton School of Computer Science Professor Ian Goldberg has been named a tier 1 Canada Research Chair in Privacy Enhancing Technologies.
Events
- July 17, 2019PhD Seminar • Artificial Intelligence — Comparing EM with GD in Mixture Models of Two Components
Guojun Zhang, PhD candidate
David R. Cheriton School of Computer Science - July 18, 2019PhD Seminar • Artificial Intelligence/Computer Vision — Attention Mechanisms for Weakly Supervised Image Segmentation
Paulo Pacheco, PhD candidate
David R. Cheriton School of Computer ScienceIn this seminar I will discuss some of the current state-of-the-art methods for generating attention maps in weakly supervised (image level annotations) for classification tasks, aiming image segmentation inference and object localization.
- July 23, 2019Master’s Thesis Presentation • Artificial Intelligence — Towards Pixel-Level OOD Detection for Semantic Segmentation
Matthew Angus, Master’s candidate
David R. Cheriton School of Computer Science
