Events

Filters
Export this event to calendar
iCal
RSS
RSS
Close X

Filter by:

Limit to events where the first date of the event:
Date range
Limit to events where the first date of the event:
Limit to events where the title matches:
Limit to events where the type is one or more of:
Limit to events tagged with one or more of:
Limit to events where the audience is one or more of:
Wednesday, May 1, 2024 1:00 pm - 2:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Software Engineering • Simplifying Crash-Triggering Event Sequence for Android Apps

Please note: This master’s thesis presentation will take place in DC 2310 and online.

Aryan Haddady, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Chengnian Sun

Friday, May 3, 2024 2:00 pm - 3:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Software Engineering • Variability in Factors Influencing Pull Request Merge Decisions: A Microscopic Exploration

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

Nasif Ahmed, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Mei Nagappan

Friday, May 10, 2024 10:00 am - 11:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Artificial Intelligence • Navigating Identities in Text: Towards an Approach for Dementia Care

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

Jess Gano, Master's candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jesse Hoey

Friday, May 10, 2024 1:00 pm - 4:00 pm EDT (GMT -04:00)

PhD Defence • Bioinformatics • Deep Unsupervised Learning for Biodiversity Analysis: Representation Learning and Clustering of Bacterial, Mitochondrial, and Barcode DNA Sequences

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

Pablo Millán Arias, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lila Kari

Tuesday, May 21, 2024 2:00 pm - 3:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Systems and Networking • Parallel Transaction Execution in Public Blockchain Systems

Please note: This master’s thesis presentation will take place in DC 2310

Rizwan Shahid, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Bernard Wong, Samer Al-Kiswany

Public blockchain systems like Ethereum and Bitcoin suffer from poor transaction through-put, leading to delayed transaction execution and high transaction fees. They execute transactions one by one failing to extract inherent parallelism possible in executing the workload.