Our four interns and six internships will be invaluable components in the research being conducted. These interns will be collecting primary data for the project and will be working directly with industry partners to test and develop feasible solutions to community drinking water problems. Our parter organizations will directly benefit from our internships, as our […]

In response to the current housing crisis, we are studying the effectiveness of tiny homes as a solution to transitional housing for housing insecure persons in the Region of Waterloo. We have completed an earlier phase of this research which produced a Tiny House prototype and propose to continue this research through the following two […]

State-of-the-art natural language processing tools are rapidly improving in being able to identify real-world objects in texts (e.g. person, location, organization). However, the vocabularies and document structures used in a medical setting can vary from general language corpus from which the NLP models were trained; resulting in poor performance. This project will fine-tune existing NLP […]

This project will develop a graph neural network model that generates a prediction (e.g. detects anomalies) together with a set of explanations as to what the model based its prediction on. The model applies to dynamic graphs (such as wireless communication networks), and the explanations generated are either based on the properties of the graph […]

The popularity of cryptocurrency has continued to increase over the past years and has raised serious policy concerns among Central Banks. Given the Bank of Canada’s role in maintaining financial stability, its 2019 Financial System Review identified the evolution of the cryptoasset market as one of six financial vulnerabilities that need to be monitored closely. […]

Patients can be exposed to airborne allergens in specially designed and controlled rooms for clinical studies. This research aims at improving the spatial homogeneity and temporal stability of airborne pollen concentration in a new exposure room over a period from 2 to 6 hours. Initially, the flow dynamics and particle dispersion will be also investigated […]

Cette étude vise à mieux comprendre dans quelle mesure la fermeture prolongée des salles de spectacle pendant la pandémie de COVID-19 a eu des effets sur les habitudes de consommation culturelle des publics des arts de la scène. Alors que la reprise se fait tranquillement dans ces milieux, comment la période que nous venons de […]

To evaluate the overall performance of the newly developed Structural Insulated Panels (SIPs) in flexure, including deflections, stiffness and ultimate capacity, an experimental program has recently been launched. The program includes transverse bending tests of a total of 18 full-sized SIPs with various configurations using a vacuum chamber. Pressure and deflections are measured during the […]

The recent covid pandemic has demonstrated the need to develop new rapid vaccine technology. Even the newest mRNA technology has limitations, including short duration of immunity, poor stability, and is relatively expensive. Pegasus Biotech is in the process of developing a new class of DNA plasmids that are optimally designed for vaccine use, are low-cost, […]

Computer games are one of the main use cases for AMD graphics cards. To ensure the highest performance and quality possible, AMD has to test its graphics hardware and software on dozens of game titles and hundreds of system configurations. While some game titles provide built-in automated benchmarks, the majority of gameplay testing is manual […]

There are Atlantic sturgeon in the Restigouche River estuary. This species is millions of years old and it is still found in our waters today. Fishers have reported their sightings every year in the last decade. Unfortunately, this species is now considered to be a species at risk of extinction. Because their numbers are so […]

The project aims to facilitate the research and development of new drugs by employing machine learning methods to generate new molecules. This includes understanding various properties about known molecules by training deep learning models for the purpose of molecular generation. The gained understanding of molecules will be used to improve existing models and generate novel […]