Please note: This master’s thesis presentation will take place online.
Jack Spalding-Jamieson, Master’s candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Anna Lubiw, Therese Biedl
Please note: This master’s research paper presentation will take place in DC 2310.
Gan Wang, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Martin Karsten
Please note: This master’s thesis presentation will take place online.
Luyun Lin, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jimmy Lin
Please note: This master’s thesis presentation will take place in DC 3102.
Kamyar Ghajar, Master’s candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Mark Smucker, Charles Clarke
Please note: This master’s thesis presentation will take place online.
Ajiromola Kola-Olawuyi, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Mei Nagappan
This study focuses on factors that may significantly influence the outcomes of CI builds triggered by commits modifying and/or adding DevOps artefacts to the projects, i.e., DevOps-related CI builds. In particular, code ownership of DevOps artefacts is one such factor that could impact DevOps-related CI builds.
Please note: This master’s thesis presentation will take place online.
Siqing Huo, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Charles Clarke
Please note: This master’s thesis presentation will take place online.
Ru Ji, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Meng Xu
Please note: This PhD defence will take place online.
Joshua Jung, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jesse Hoey
Please note: This master’s thesis presentation will take place online.
Newsha Seyedi, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ian Munro
This thesis delves into the exploration of shortest path queries in planar graphs, with an emphasis on the utilization of space-efficient data structures. Our investigation primarily targets connected, undirected, static pointer planar graphs, focusing on scenarios where queries predominantly start or end at a select subset of nodes.
Please note: This PhD defence will take place in DC 3317 and online.
Chendi Ni, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Yuying Li, Peter Forsyth