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Thursday, December 11, 2025 9:30 am - 10:30 am EST (GMT -05:00)

Master’s Thesis Presentation • Algorithms and Complexity • New Methods for Analyzing the Properties of Automatic Sequences

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

Mazen Khodier, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jeffrey Shallit

Thursday, December 11, 2025 11:00 am - 12:00 pm EST (GMT -05:00)

Master’s Thesis Presentation • Human–Computer Interaction • Exploring Gender and Gender-Based Stereotyping in a Voice Agent Running Coach

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

Casey O’Neill, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Edith Law

Thursday, December 11, 2025 11:30 am - 12:30 pm EST (GMT -05:00)

PhD Seminar • Cryptography, Security, and Privacy (CrySP) • Level Up: Private Non-Interactive Decision Tree Evaluation using Levelled Homomorphic Encryption

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

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

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

Wednesday, December 17, 2025 4:00 pm - 5:00 pm EST (GMT -05:00)

Master’s Research Paper Presentation • Systems and Networking • Kernel-Level Threading, User-Level Speed: Optimizing Thread-per-Session I/O via Extensible Scheduler

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

Brian Song, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Martin Karsten