The purpose of analyzing the different stages of sleep by means of functional connectivity metrics is due to the overwhelming unlikelihood of seizures occurring during REM sleep. The functional connectivity metrics are computational algorithms run on a computer that determine if the signal from one node is similar to another in any way. These nodes […]

This project aims at developing a conversational agent for autistic people and their families, based on highly accurate training datasets while deploying Natural Language Processing (NLP) and Deep Learning (DL) techniques. This project will help promote inclusion and diversity into AI design by using the right data to train the conversational agent system to be […]

The risk of airborne disease transmission is high for essential workers even while wearing PPE. Since SARS-CoV-2 can remain airborne after a sneeze or cough for several hours, ideally, there would be effective methods to remove these infectious particles directly from the air. In this work, we develop a membrane-based technology capable of serving the […]

Training personnel to operate machinery in the construction workplace requires a major devotion of time, resources, and safeguards. Recent methods involving virtual reality and motion base simulators have drastically enhanced the training process, but some users of these new methods report sickness and discomfort. This research aims to remedy this issue with a theoretical and […]

In the field of power electronics, one important goal is to make low power loss and super fast switching speed. In making this goal, GaN transistors are better choices than the conventional Si devices. In this project, we investigate the GaN technology design and details with simulation tools by Crosslight Software and testing data in […]

Traditionally, artistic communities relied on face-to-face encounters to learn their skills, collaborate, and showcase their work. Due to COVID-19, performances in the arts have been abruptly halted and traditional music lessons take place at a studio has stopped. This project aims to examine and provide a prototype solution to mitigate the challenges in artistic collaboration […]

Mining is important to the Canadian economy but also generates large quantities of waste rock. Water percolating through some waste rock piles dissolves metals that can become hazardous to ecosystems. Laboratory tests are used to simulate this process. The intern will examine a suite of samples from a multi-year laboratory test to identify the source […]

Many YouTube content owners currently make money from their videos by allowing YouTube to display ads next to them. For these content owners, increasing the popularity of the video leads to more revenue, and therefore it is of great importance. The purpose of this project is to design an algorithm to predict the popularity of […]

Business Strategy Internship

ImmunoBiochem is developing novel anti-cancer therapeutics to address unmet need in intractable solid tumors. Because solid tumors are highly heterogeneous and evasive, recognizing cancerous cells, while avoiding damage to normal tissue, is a challenge. As a result, many targeted therapies quickly come up against resistance, resulting in patient relapses. ImmunoBiochem is solving the issue of […]

Mandatory reporting limits established by Health Canada for pesticide testing in cannabis are typically lower than those published in various U.S. states. Because dried cannabis leaves and flowers generate many co-extractives that can negatively impact testing results, a simple and cost-effective sample preparation and analytical method needs to be developed to meet the demanding testing […]

The project will focus on setting out the enabling conditions for nature-based climate solutions. Within this objective, the team will develop a portfolio of opportunities for — and a discussion of the implications of — (i) new policy tools and modifications to existing laws and regulations and (ii) market-based approaches, all to enable and accelerate […]