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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 SyN seminar will take place in DC 1304.

Sara Qunaibi, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

We present a comprehensive empirical study of the impact partial network partitions have on cluster managers in data analysis frameworks. Our study shows that modern scheduling approaches are vulnerable to partial network partitions. Partial partitions can lead to a complete cluster pause or a significant loss of performance.

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.

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.