Current students

Subscribe to Current students
photo of Tanay Singhal and Mahika Phutane
Friday, July 31, 2020

Elevating haptics: A touchless elevator concept proposes an accessibility-driven solution to slowing the spread of COVID-19

By Marisa Benjamin, Research Communications Officer, The Games Institute

Motivated by previous research that found that elevator buttons are a huge source of contamination, a new study co-authored by a Cheriton School of Computer Science student presents a touchless elevator concept to slow the spread of COVID-19.

Monday, August 10, 2020 9:00 pm - 9:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Data Systems — Integrating Column-Oriented Storage and Query Processing Techniques into Graph Database Management Systems

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

Pranjal Gupta, Master’s candidate
David R. Cheriton School of Computer Science

Wednesday, August 19, 2020 10:00 am - 10:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Human-Computer Interaction — Comparing Smartphone Speech Recognition and Touchscreen Typing for Composition and Transcription

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

Margaret Foley, Master’s candidate
David R. Cheriton School of Computer Science

Monday, August 10, 2020 2:00 pm - 2:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Programming Languages — TreeGen: A Monotonically Impure Functional Language

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

Alistair Hackett, Master’s candidate
David R. Cheriton School of Computer Science

We present TreeGen, an impure functional language designed to express, consume, and validate JSON-like documents, as well as generate text files. The language aims to provide a more reliable and flexible way to create customised Interface Definition Languages, since the current state of the art is implemented via monolithic, ad-hoc codebases which cannot easily be modified.

Thursday, August 6, 2020 11:00 am - 11:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Machine Learning — Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness

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

Ahmadreza Jeddi, Master’s candidate
David R. Cheriton School of Computer Science

Friday, August 7, 2020 10:00 am - 10:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Human-Computer Interaction — LightPlay: An Ambient Light System for Video Game Indicators and Notifications

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

Kin Pong (Kenny) Fung, Master’s candidate
David R. Cheriton School of Computer Science

photo of Ian Milligan, Jimmy Lin, Nick Ruest and Jefferson Bailey
Tuesday, July 28, 2020

One-stop collection and analysis with Archive-It and the Archives Unleashed Project

Suppose you’re an archivist, librarian, or historian who’s trying to document and preserve for posterity a narrative of the COVID-19 pandemic or the ongoing Black Lives Matters protests. You’ll naturally be gathering documents from the web, and with tools available today it won’t be difficult to accumulate thousands or even millions of relevant records. How can you make sure that a scholar down the road can actually use the material that you’ve collected?

photo of Professor Bin Ma
Tuesday, July 28, 2020

Rapid Novor, cofounded by Cheriton School of Computer Science Professor Bin Ma, secures $5-million USD to decode antibodies for potential treatments for COVID-19 and other illnesses

A world-leading University of Waterloo spinoff company, that decodes blood samples for potential treatments for illnesses like cancer and COVID-19, is expanding operations with the help of a $5-million USD investment.

Bin Ma, a University of Waterloo computer science professor who cofounded Rapid Novor in 2015, says the company’s technology is the most advanced in the world when it comes to deciphering the complex workings of antibody proteins, a process called sequencing.