Thesis defence

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

Peter Cai, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Martin Karsten

Please note: This master’s thesis presentation will take place in DC 1331 and online.

Yue Lyu, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Jian Zhao, Keiko Katsuragawa

Please note: This PhD defence will take place in DC 1331 and online.

Yen-Ting (Allen) Yeh, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Daniel Vogel

Please note: This master’s thesis presentation will take place in DC 1304 and virtually.

Zhili Zeng, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Shane McIntosh

Continuous Integration (CI) is a popular software development practice that allows developers to quickly verify modifications to their projects. To cope with the ever-increasing demand for faster software releases, CI acceleration approaches have been proposed to expedite the feedback that CI provides.

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

Owura Asare, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Mei Nagappan, N. Asokan

In this thesis, we perform two security evaluations of GitHub’s Copilot with the aim of better understanding the strengths and weaknesses with of Code Generation Tools.

Please note: This PhD defence will take place online.

Yuqing Xie, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Ming Li, Jimmy Lin

Please note: This PhD defence will take place online.

Zhiying (Gin) Jiang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

In this thesis, we aim at improving interpretability and generalizability through restricting representations. We choose to approach interpretability by focusing on attribution analysis to understand which features contribute to prediction on BERT, and to approach generalizability by focusing on effective methods in low-data regime.

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

Joshua Hildred, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Khuzaima Daudjee

Distributed deterministic database systems support OLTP workloads over geo-replicated data. Providing these transactions with ACID guarantees requires a delay of multiple wide-area network (WAN) round trips of messaging to totally order transactions globally.