Ian Munro joined the University of Waterloo as a faculty member 50 years ago this fall, just before defending his PhD thesis at the University of Toronto.
Jo Atlee, Professor and Director of Women in Computer Science
David R. Cheriton School of Computer Science
This talk looks at some of the issues of equity, diversity, and inclusiveness that women in computing face, in K-12, in university, and as junior programmers in the workforce. I’ll discuss some of the best practices for addressing these issues, what WiCS is doing to address these issues, and the considerable amount of work that is left to do.
Sudarsun Kannan, Department of Computer Science
Rutgers University
The last decade has seen a rapid hardware innovation to develop ultra-fast and heterogeneous storage and memory technologies for accelerating data-intensive applications. Unfortunately, current monolithic system software stacks with coarse-grained synchronization, high data movement costs, and inflexible abstractions continue to be Achille’s heel, thereby failing to exploit hardware innovations.
Thomas Humphries, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Florian Kerschbaum
Thomas Neumann, Department of Computer Science
Technical University of Munich
Join ordering is one of the core problems of query optimization, as differences in join order can affect the execution time of queries by orders of magnitudes. Unfortunately, the problem is NP hard in general, and real-world queries can join hundreds of relations, which makes exact solutions prohibitive expensive.
As a graduate student in the Cheriton School of Computer Science, Cameron Seth studies graph theory algorithms and complexity theory. As an athlete, he is among the top Canadian men’s squash players. He has been playing on the international professional tour since 2015, and during his undergrad, Cameron was a mainstay on the University of Waterloo varsity team.
Chantelle Gellert, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Daniel Berry
Researchers at the Cheriton School of Computer Science have developed a data-efficient pretrained transformed-based neural language model to analyze 11 African languages. Their new neural network model, which they have dubbed AfriBERTa, is based on BERT — Bidirectional Encoder Representations from Transformers — a deep learning technique for natural language processing developed in 2018 by Google.
Alireza Heidarikhazaei, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ihab Ilyas
Bryant Curto, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Martin Karsten