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Thursday, August 6, 2026 9:30 am - 10:30 am EDT (GMT -04:00)

Master’s Thesis Presentation • Programming Languages • Transitioning to Explicit Nulls in Scala

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

Harris Lau, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ondřej Lhoták

Thursday, August 6, 2026 10:00 am - 11:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Cryptography, Security, and Privacy (CrySP) • Towards Auditable Properties of Machine Learning System

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

Prach Chantasantitam, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor N. Asokan

Thursday, August 6, 2026 11:00 am - 12:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Algorithms and Complexity • Algorithms for Analytic Combinatorics: Positivity Bounds and D-finite Operators

Please note: This master’s thesis presentation will take place in DC 2306C and online.

John Smith, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Stephen Melczer & Rafael Oliveira

Tuesday, August 11, 2026 3:00 pm - 4:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Artificial Intelligence | Machine Learning • ASH: Agents that Self-hone via Embodied Learning

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

Benjamin Schneider, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Wenhu Chen, Florian Kerschbaum

Thursday, August 20, 2026 11:00 am - 12:00 pm EDT (GMT -04:00)

PhD Seminar • Software Engineering • Decoupling CLI Agent Scaffolding to Internalize Planning Across Scaffolds

Please note: This PhD seminar will take place online.

Kishanthan Thangarajah, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Meiyappan Nagappan


 

Thursday, September 3, 2026 1:00 pm - 4:00 pm EDT (GMT -04:00)

PhD Defence • Artificial Intelligence | Machine Learning • Gradient-based Methods for Multi-Objective Optimization with Applications in Machine Learning

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

Zeou Hu, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Yaoliang Yu