Current students

Please note: This PhD seminar will take place in DC 2102.

Andrew Na, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Justin Wan

The Cheriton School of Computer Science has been ranked number one nationally for the fourth year in a row, according to the Maclean’s 2024 university rankings released yesterday. Based on program reputation in computer science, Waterloo shared the podium for first place with the University of Toronto, and based on research reputation, shared the podium for first with the University of Toronto and UBC.

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

Johra Muhammad Moosa, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Bin Ma

Please note: This PhD seminar will take place online.

Marvin Pafla, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Kate Larson, Mark Hancock

With the rise of large language models (LLMs) like GPT, the field of eXplainable artificial intelligence (XAI) has exploded and produced a plethora of methods  (e.g., saliency-maps) to gain insight into deep neural nets. However, human-participant studies question the efficacy of these methods, particularly when the AI output is wrong.

On Friday, October 6, the Cheriton School of Computer Science held the 2023 Cheriton Research Symposium, an annual showcase of research excellence made possible by David R. Cheriton’s generous investment in education.

Please note: This PhD seminar will take place in DC 1304 and online.

Shufan Zhang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Xi He

Please note: This PhD seminar will take palce in M3 4206 and online.

Kam Chuen Tung, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lap Chi Lau

We derive Cheeger inequalities for directed graphs and hypergraphs using the reweighted eigenvalue approach that was recently developed for vertex expansion in undirected graphs. The goal is to develop a new spectral theory for directed graphs and an alternative spectral theory for hypergraphs.