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Thursday, July 13, 2023 9:00 pm - 11:59 pm EDT (GMT -04:00)

PhD Defence • Software Engineering | Software Testing • Assessing the Reliability of Deep Learning Applications

Please note: This PhD defence will take place online. Also note the atypical start time — 9:00 p.m.

Yongqiang Tian, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Chengnian Sun

Friday, July 28, 2023 1:00 pm - 2:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Human-Computer Interaction • The Unspoken Rules of Engagement: Understanding the Impact of Social Norm Violations in Human-Robot Interactions

Please note: This master’s thesis presentation will take place in DC 2102 and online.

Steven Lawrence, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Kerstin Dautenhahn, Jesse Hoey

As robots increasingly permeate diverse domains such as healthcare, education, service industries, and domestic environments, the significance of understanding and navigating human-robot interactions intensifies.

Tuesday, July 18, 2023 10:00 am - 11:00 am EDT (GMT -04:00)

PhD Seminar • Bioinformatics • Repeat-Preserving Decoy Database for False Discovery Rate Estimation in Peptide Identification

Please note: This PhD seminar will take place online.

Johra Muhammad Moosa, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Bin Ma

Tuesday, July 18, 2023 2:00 pm - 3:00 pm EDT (GMT -04:00)

PhD Seminar • Cryptography, Security, and Privacy (CrySP) • DAD Knows Best: Mitigating Adversarial Examples via Deep Adversarial Distillation

Please note: This PhD seminar will take place online.

Andre Kassis, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Urs Hengartner

photo of Professor Lap Chi Lau
Tuesday, July 11, 2023

Lap Chi Lau appointed University Research Chair

Cheriton School of Computer Science Professor Lap Chi Lau has been appointed a University Research Chair to recognize his many fundamental contributions to theoretical computer science. His research is in the field of algorithm design and analysis, with a focus on algorithms for graph theoretic problems.

Friday, July 14, 2023 12:00 pm - 1:00 pm EDT (GMT -04:00)

Seminar • Algorithms and Complexity • Causal Structure Learning and Online Algorithms with ML Advice

Please note: This seminar will take place in DC 1304 and online.

Themis Gouleakis, Senior Research Fellow
National University of Singapore

The enormous success of the field of machine learning in recent years and its ability to make accurate predictions using data has also influenced research in other areas. In this talk, we will explore such settings where “machine learned advice” can be exploited.

photo of Professor Kaplan outside the Davis Centre looking at his reflection
Wednesday, July 5, 2023

The vampire einstein: Researchers discover a single shape that tiles the plane aperiodically without reflection

Just months ago, an international team of four that includes Cheriton School of Computer Science Professor Craig Kaplan discovered a single shape that tiles the plane — an infinite, two-dimensional surface — in a pattern that can never be made to repeat.

The discovery mesmerized mathematicians, tiling enthusiasts and the public alike.

The shape, a 13-sided polygon they called “the hat,” is known to mathematicians as an aperiodic monotile or an “einstein,” the German words that mean “one stone.”