Thesis defence

Please note: This PhD defence will take place in DC 2310 and virtually.

Glaucia Melo dos Santos, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Paulo Alencar, Daniel Berry, Donald Cowan

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

Norhan Abbas, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Mei Nagappan, Diogo Barradas

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

Cheryl Lao, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Daniel Vogel, Craig Kaplan

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

Theodore Vanderkooy, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Khuzaima Daudjee

Please note: This PhD defence will take place in DC 2310.

Besat Kassaie, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Frank Tompa

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

Gautam Pathak, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Trevor Brown

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

Christopher West, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Anita Layton, Justin Wan

Kidney cancer is a well-studied and highly prevalent cancer in which tumors grow and obstruct the functional tissues of the kidney. Medical imaging is commonly used to diagnose and verify the presence of these kidney tumors and can give some qualitative intuition on the scope of their proliferation.

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

Sayed Mohammad Amin Khodaee, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor J. Ian Munro

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

Saralin Zassman, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Daniel Vogel, Craig Kaplan

We design and evaluate Mindless Scroll, a mobile application for mindfulness that encourages a slow and deliberate approach to colouring. The app provides a visually immersive user experience in contrast to the majority of mindfulness-based mobile apps that focus on audio-based methods.

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

Abdelrahman Ahmed, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Florian Kerschbaum