Seminar

Please note: This PhD seminar will be given online.

Sasha Vtyurina, PhD candidate
David R. Cheriton School of Computer Science

Voice-based assistants have become a popular tool for conducting web search, particularly for factoid question answering. However, for more complex web searches their functionality remains limited, as does our understanding of the ways in which searchers can best interact with audio-based search results.

Please note: This PhD seminar will be given online.

Nashid Shahriar, PhD candidate
David R. Cheriton School of Computer Science

Please note: This PhD seminar will be given online.

Anil Pacaci, PhD candidate
David R. Cheriton School of Computer Science

Please note: This PhD seminar will be given online.

Mike Schaekermann, PhD candidate
David R. Cheriton School of Computer Science

Artificial intelligence (AI) assistants for clinical decision making show increasing promise in medicine. However, medical assessments can be contentious, leading to expert disagreement. This raises the question of how AI assistants should be designed to handle the classification of ambiguous cases. 

Please note: This PhD seminar will be given online.

Christian Gorenflo, PhD candidate
David R. Cheriton School of Computer Science

Please note: This PhD seminar will be given online.

Jan Gorzny, PhD candidate
David R. Cheriton School of Computer Science

Please note: This master’s thesis presentation will be given online.

Ryan Clancy, Master’s candidate

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.

Please note: This seminar has been cancelled

Niao He, Department of Industrial Systems Engineering and Coordinated Science Laboratory
University of Illinois at Urbana-Champaign

Mark Elendt and Jeff Lait are two Academy Award winning developers at SideFX who have a long history in the industry. They will be discussing the unique challenges involved in developing 3D tools for artists and what it’s like to be a software developer in this very exciting industry.