Current students

Subscribe to Current students
Tuesday, November 28, 2023

GraphNovo: Graph-based deep learning model may lead to highly personalized medicine to treat cancer and infectious diseases

Computer scientists at the Cheriton School of Computer Science are using a graph-based deep learning model to analyze proteins on the surface of cells, which could lead to personalized medicine to treat cancer and infectious diseases.  

The researchers developed GraphNovo, a new program that provides a more accurate understanding of cellular peptide sequences, linear chains of amino acids.

photo of University Professor Ming Li
Monday, November 27, 2023

University Professor Ming Li tackles cancer with personalized immunotherapy made possible by machine learning

Immunotherapy is a powerful new way to treat cancer, harnessing the body’s natural defences to find and kill cancer cells.

By applying machine learning, researchers at the Cheriton School of Computer Science are working to strengthen this mechanism, making it possible to develop personalized cancer-fighting drugs.

Wednesday, December 20, 2023 11:00 am - 12:00 pm EST (GMT -05:00)

Master’s Thesis Presentation • Algorithms and Complexity • Compact Routing on Planar Graphs

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.

Monday, December 4, 2023 10:30 am - 11:30 am EST (GMT -05:00)

DSG Seminar Series • Structured Knowledge and Data Management for Effective AI Systems

Please note: This seminar will take place in DC 1302.

Ihab Ilyas
Professor, Cheriton School of Computer Science
NSERC-Thomson Reuters Research Chair on Data Quality
Distinguished Engineer, Apple

Wednesday, December 13, 2023 2:00 pm - 3:00 pm EST (GMT -05:00)

Master’s Thesis Presentation • Software Engineering • The Impact of Code Ownership of DevOps Artefacts on the Outcome of DevOps CI Builds

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.

Thursday, December 7, 2023 10:30 am - 11:30 am EST (GMT -05:00)

Master’s Thesis Presentation • Machine Learning • Multilingual Grammatical Error Detection and its Application to Prompt-Based Correction

Please note: This master’s thesis presentation will take place in DC 2585 and online.

Gustavo Sutter Pessurno de Carvalho, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Pascal Poupart

Wednesday, December 13, 2023 12:30 pm - 1:30 pm EST (GMT -05:00)

Master’s Thesis Presentation • Data Systems • Evaluating the Ability of Commercial Search Engines to Help People Answer Health Questions

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

Wednesday, December 13, 2023 11:00 am - 12:00 pm EST (GMT -05:00)

Master’s Thesis Presentation • Artificial Intelligence • An In-Depth Exploration of the High-Quality Entity Linking for Information Retrieval: MMEAD

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