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Friday, January 23, 2026 11:00 am - 12:00 pm EST (GMT -05:00)

Master’s Thesis Presentation • Systems and Networking • Towards Green AI: Evaluating Energy Efficiency for Quantized LLM Inference

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

Petar Basta, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Khuzaima Daudjee

Friday, January 9, 2026 1:30 pm - 2:30 pm EST (GMT -05:00)

Master’s Research Paper Presentation • Software Engineering • Compiler Testing via Literal Value Mutation

Please note: This master’s research paper presentation will take place in DC 2314.

Rui Ming Xiong, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Joanne Atlee, Chengnian Sun

Wednesday, January 7, 2026 10:30 am - 11:30 am EST (GMT -05:00)

Master’s Thesis Presentation • Artificial Intelligence | Machine Learning • GASTON: Graph-Aware Social Transformer for Online Networks

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

Olha Wloch, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Lukasz Golab, Robin Cohen

Friday, December 19, 2025 3:00 pm - 4:00 pm EST (GMT -05:00)

Master’s Thesis Presentation • Computer Graphics • A Staggered Grid-based Variational Approach for Modeling Elastic Deformation

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

Brooke Dolny, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Christopher Batty

Wednesday, December 17, 2025 1:00 pm - 2:00 pm EST (GMT -05:00)

PhD Seminar • Cryptography, Security, and Privacy (CrySP) • ZipPIR: High-throughput Single-server PIR without Client-side Storage

Please note: This PhD seminar will take place online.

Rasoul Akhavan Mahdavi, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Florian Kerschbaum

Monday, December 15, 2025 10:30 am - 11:30 am EST (GMT -05:00)

PhD Seminar • Artificial Intelligence | Machine Learning • LEO-MINI: An Efficient Multimodal Large Language Model using Conditional Token

Please note: This PhD seminar will take place in E7 5419 and online.

Yimu Wang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Krzysztof Czarnecki