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Wednesday, September 10, 2025 2:00 pm - 3:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Systems and Networking • Exploiting Zero-Entropy Data for Efficient Deduplication

Please note: This master’s thesis presentation will take place in DC 2310.

Mu’men Al Jarah, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

Monday, September 15, 2025 1:00 pm - 2:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Machine Learning • Diffusion-Based Generative Modeling of Financial Time Series

Please note: This master’s thesis presentation will take place in DC 2314 and online.

Mykhailo Briazkalo, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Justin Wan

Monday, September 15, 2025 2:00 pm - 3:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Cryptography, Security, and Privacy (CrySP) • Oblivious Multi-Way Band Joins: An Efficient Algorithm for Secure Range Queries

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

Ruidi Wei, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Florian Kerschbaum

Monday, September 15, 2025 3:30 pm - 6:30 pm EDT (GMT -04:00)

PhD Defence • Computer Graphics • Toward General-Purpose Monte Carlo PDE Solvers for Graphics Applications

Please note: This PhD defence will take place in DC 2314 and online.

Ryusuke Sugimoto, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Toshiya Hachisuka, Christopher Batty

Wednesday, September 17, 2025 12:00 pm - 1:00 pm EDT (GMT -04:00)

PhD Seminar • Computer Algebra | Symbolic Computation • Well-Conditioned Polynomial Representations for Mathematical Handwriting Recognition

Please note: This PhD seminar will take place in DC 3317 and online.

Deepak Singh Kalhan,PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Stephen M. Watt, Robert M. Corless

Wednesday, September 17, 2025 1:00 pm - 2:00 pm EDT (GMT -04:00)

PhD Seminar • Artificial Intelligence | Multi-agent Systems • Adaptive Reward Sharing to Enhance Learning in the Context of Multi-agent Teams

Please note: This PhD seminar will take place online.

Kyle Tilbury, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jesse Hoey