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Monday, November 22, 2021 1:00 pm - 1:00 pm EST (GMT -05:00)

PhD Defence • Human-Computer Interaction • Affective Expressions in Conversational Agents for Learning Environments: Effects of Curiosity, Humour, and Interjections

Please note: This PhD defence will be given online.

Jessy Ceha, PhD Candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Edith Law

photo of Fatema Tuz Zohora
Thursday, October 28, 2021

Computer scientists developing method to identify disease biomarkers with high accuracy

Researchers at the Cheriton School of Computer Science are incorporating a deep learning network into a more accurate method to identify disease biomarkers. The new method achieves up to 98 per cent detection of peptide features in a dataset. That means scientists and medical practitioners have a greater chance of discovering possible diseases through tissue sample analysis.

Friday, November 12, 2021 1:00 pm - 1:00 pm EST (GMT -05:00)

PhD Seminar • Human-Computer Interaction • CodeToon: Authoring Tool for Creating Comics from Code with Story Ideation and Automatic Comic Generation

Please note: This PhD seminar will be given online.

Sangho Suh, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Edith Law

Thursday, December 9, 2021 9:00 am - 9:00 am EST (GMT -05:00)

PhD Defence • Human-Computer Interaction • Merging the Real and the Virtual: An Exploration of Interaction Methods to Blend Realities

Please note: This PhD defence will be given online.

Jeremy Hartmann, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Daniel Vogel

We investigate, build, and design interaction methods to merge the real with the virtual. An initial investigation looks at spatial augmented reality (SAR) and its effects on pointing with a real mobile phone. A study reveals a set of trade-offs between the raycast, viewport, and direct pointing techniques. 

photo of Research Professor Maura R. Grossman
Monday, October 25, 2021

Can we reach consensus on how AI will be used, regulated and interwoven into society?

Maura R. Grossman, JD, PhD, is a Research Professor in the Cheriton School of Computer Science, an Adjunct Professor at Osgoode Hall Law School, and an affiliate faculty member of the Vector Institute for Artificial Intelligence. She is also Principal at Maura Grossman Law, an eDiscovery law and consulting firm in Buffalo, New York.