Thesis defence

Please note: This master’s thesis presentation will take place online.

Soroosh Baselizadeh, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Yuri Boykov, Olga Veksler

Please note: This master’s thesis presentation will take place in DC 3317 and online.

Kanav Mehra, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Kate Larson

Please note: This master’s thesis presentation will take place online.

Mohsin Hasan, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Pascal Poupart

Please note: This master’s thesis presentation will take place in DC 2564.

Owen Zila, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Nancy Day

Please note: This master’s research paper presentation will take place online.

Steph McIntyre, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors David Toman, Grant Weddell

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

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.

Please note: This PhD defence will take place online.

Bailey Kacsmar, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Florian Kerschbaum

Privacy in machine learning holds great promise for enabling organizations to analyze data they and their partners hold while maintaining data subjects’ privacy.

Please note: This master’s thesis presentation will take place online.

Shadi Ghasemitaheri, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lukasz Golab

Accurate forest monitoring data are essential for understanding and conserving forest ecosystems. However, the remoteness of forests and the scarcity of ground truth make it hard to identify data quality issues.

Please note: This PhD defence will take place in DC 3102 and online.

Damien Masson, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Daniel Vogel, Géry Casiez, Sylvain Malacria