Events by month

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

Zhicong Lu, Assistant Professor
Department of Computer Science, City University of Hong Kong

The proliferation of video-sharing and livestreaming platforms such as YouTube, TikTok, and Twitch has catalyzed the growth of online creative communities, promoting cultural expression and preservation.

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

Linh Nhi Phan Minh, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Mark Smucker

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

Abhinav Bora, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Srinivasan Keshav, Lukasz Golab

Please note: This PhD seminar will take place in DC 1331 and virtually over Zoom.

Ken Jen Lee, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Edith Law

Please note: Brain Day 2023 will take place in Engineering 7, various rooms.

The University of Waterloo’s Centre for Theoretical Neuroscience supports the development of robust explanatory theories of mind and brain through education and research.

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

Daewoo Kim, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Trevor Brown

Memory management in multicore systems is a well studied area. Many approaches to memory management have been developed and tuned with specific hardware architectures in mind, capitalizing on hardware characteristics to improve performance. In this thesis, the focus is on memory allocation and reclamation in multicore systems.

Sponsored by the Faculty of Mathematics Data Science Graduate Programs, please join Cheriton School of Computer Science expert in artificial intelligence, Professor Pascal Poupart, for a public talk in which he will describe the key technological advances in recent years that were behind AlphaGo and ChatGPT and ultimately facilitated these breakthroughs.

In recent years, we have seen the following —

Please note: This PhD seminar will take place in DC 2564.

Yongqiang (Victor) Tian, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Chengnian Sun

Please note: This PhD seminar will take place in DC 1331.

Nolan Peter Shaw, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jeff Orchard

Please note: This PhD seminar will take place online.

Charupriya Sharma, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Peter van Beek

Please note: This PhD seminar will take place online.

Xinyu Shi, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jian Zhao

Please note: This PhD seminar will take place online.

Alessandra Luz, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Daniel Vogel

Please note: This PhD defence will take place in DC 2564 and virtually over Zoom.

Wenhan (Cosmos) Zhu, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Michael Godfrey

Please note: This PhD defence will take place online.

Yuhao Dong, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Raouf Boutaba

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

Roswitha Rissner, Department of Mathematics
Alpen-Adria-Universität Klagenfurt, Austria

Given a square matrix B' over a (commutative) ring S, the null ideal N_0(B') is the ideal consisting of all polynomials f in S[X] for which f(B')=0. In the case that S=R/J is the residue class ring of a ring R modulo an ideal J, we can equivalently study the so-called J-ideals

N_J(B) =  { f in  R[X]  |  f(B) in M_n(J) }

Please note: This master’s thesis presentation will take place in DC 1304 and virtually.

Benjamin Thérien, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Krzysztof Czarnecki

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

Jason Li, Postdoctoral Fellow
Simons Institute, University of California, Berkeley

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

Eva Feng, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor David Toman

Please note: This PhD seminar will take place online.

Greg Philbrick, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Craig Kaplan

This paper treats the subject of pseudo-3D modeling (via drawing in projective coordinates). I'll talk about the authors’ methods, as well as my own exploration of pseudo-3D drawing techniques.

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

Odunayo Ogundepo, Master’s candidate
David. R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

Please note: This seminar will take place virtually over Zoom.

Pavel Izmailov, PhD candidate
Computer Science Department, New York University

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

Felix Dangel, Postdoctoral Researcher
Vector Institute for Artificial Intelligence

Popular deep learning frameworks prioritize computing the average mini-batch gradient. Yet, other quantities such as its variance or many approximations to the Hessian can be computed efficiently, and at the same time as the gradient mean. They are of great interest to researchers and practitioners, but implementing them is often burdensome or inefficient.

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.