Events

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

Anupa Murali, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Bin Ma

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

Niki Hasrati, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Shai Ben-David

Please note: This master’s thesis presentation will take place in DC 3317.

Matt D’Souza, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ondřej Lhoták

Parametric polymorphism, also known as generics, is an abstraction that lets programmers define code that behaves independently of the types of values it operates on. Generics is a useful abstraction to enable code reuse and improve the maintainability of software projects.

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Silvia Sellán, PhD candidate
Department of Computer Science, University of Toronto

Please note: This PhD defence will take place in MC 5417 and virtually.

Catherine St-Pierre, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Éric Schost

This thesis presents an algorithm to find the local structure of intersections of plane curves.

Please note: This distinguished lecture will take place in DC 1302 and virtually over Zoom.

Tanya Berger-Wolf
Director, Translational Data Analytics Institute
Professor, Computer Science and Engineering | Electrical and Computer Engineering | Evolution, Ecology, and Organismal Biology
Director, Imageomics Institute
Ohio State University

Please note: This seminar will take place in DC 2585.

Jelle Hellings, Assistant Professor
Department of Computing and Software, McMaster University

Please note: This PhD seminar will take place online.

Joseph Musleh, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Éric Schost

Please note: This PhD seminar will be given online.

David Radke, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Kate Larson, Tim Brecht

While it has long been recognized that a team of individual learning agents can be greater than the sum of its parts, recent work has shown that larger teams are not necessarily more effective than smaller ones.

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

Michael Karras, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Olga Veksler

LLMs are currently dominating the scene in AI research. In our literature review, we aim to analyze the subfield of question answering in the domains of both natural language and coding through LLMs. We will discuss the underlying RL algorithm, datasets and current advances in this space.