PhD Defence • Data Systems | Data Quality and Information Extraction — Extracting and Cleaning RDF Data
Please note: This PhD defence will be given online.
Mina Farid, PhD candidate
David R. Cheriton School of Computer Science
Mina Farid, PhD candidate
David R. Cheriton School of Computer Science
Christian Gorenflo, PhD candidate
David R. Cheriton School of Computer Science
Jan Gorzny, PhD candidate
David R. Cheriton School of Computer Science
Martin Gauch, Master’s candidate
David R. Cheriton School of Computer Science
Ryan Clancy, Master’s candidate
Cheriton School of Computer Science Professor Jesse Hoey has had a curious career trajectory.
His academic life began with an undergraduate degree in physics, followed by a master’s in physical oceanography, then a PhD in computer science with specialization in artificial intelligence. He even had a stint working with occupational therapists as part of his postdoctoral studies, where he applied his expertise in AI to develop assistive technologies for people with dementia.
Mirmojtaba Gharibi, PhD candidate
David R. Cheriton School of Computer Science
Unmanned Aerial Vehicles will soon be integrated in the airspace and start serving us in various capacities such as package delivery, surveillance, search and rescue missions, inspection of infrastructure, precision agriculture, and cinematography.
Christian Gorenflo, PhD candidate
David R. Cheriton School of Computer Science
Bahareh Sarrafzadeh, PhD candidate
David R. Cheriton School of Computer Science
Kate Larson
David R. Cheriton School of Computer Science
Axiomatic approaches are an appealing method for designing fair algorithms, as they provide a formal structure for reasoning about and rationalizing individual decisions. However, to make these algorithms useful in practice, their axioms must appropriately capture social norms.
We explore this tension between fairness axioms and socially acceptable decisions in the context of cooperative game theory for the fair division of rewards.