There currently are no approved treatments for COVID-19, as global case counts increase daily. High infectivity and long time-to-recovery for COVID-19 cases is straining health-care systems globally. There is an urgent need to discover therapeutics that treat patients and improve clinical outcomes. Research and Development timelines associated with vaccines and new chemical entities will not […]

This research project will enable Krate Distributed Information Systems Inc. (Krate) to provide two software as a service (SaaS) cloud products that will integrate with the distributed computer platform of fellow startup Distributed Compute Labs (DCL) to aid COVID-19 researchers. DCL’s distributed computer is in use by scientists and researchers across Canada (this company’s product […]

Bien que des systèmes de monitoring des patients existent déjà, leur accessibilité est souvent limitée en milieu hospitalier, réservé aux soins aigus. De plus, ils sont de nature particulièrement encombrante de par le nombre d’électrodes, capteurs et fils qui les compose. Un système de monitoring (‘wearables’) plus léger, plus accessible, et pas cher intégré aux […]

Proposed Research: Existing recommender systems, even though very effective (like Amazon, Netflix, Youtube etc) do not take into consideration any contextual information, such as time and place. In recent times, context-aware recommender systems have attracted a lot of research and industrial attention. In this project, we aim to address the unsolved challenges that comes with […]

In response to the COVID-19 pandemic, tech industry is racing to develop apps as well as wearable devices to help people to trace contacts, to self-assess, and to self-monitor the development of COVID-19 cases. However, these apps and devices work independently of each other, which leave it to users to connect pieces of information to […]

The research project aims to discover the experience of two user groups interacting with a prototype developed by HealthQb. The user groups are patients suffering from anxiety, chronic pain and/or infertility, and their allied health practitioners, such as chiropractors, kinesiologists, naturopaths, osteopaths and physiotherapists. The patients will wear a wearable device that collects biometric data […]

People who experience mental wellness challenges or mental illness often struggle to obtain or maintain a position in the workplace. Furthermore, lack of employment means individuals lose out on a myriad of mental, emotional, and physiological benefits that are generated through work. This is extremely relevant given the current COVID crisis where personal distancing and […]

The proposed research project will enable a patient’s family doctor or specialist or emergency room doctor to quickly view the patients’ healthcare data most important to view to help the patient at that time. For example, before a doctor prescribes a drug, they can quickly make sure it will not cause problems for the patient […]

Cloud computing allows consumers to reduce the costs associated with the purchase and maintenance of computing infrastructure, platform and software resources by exploiting on-demand resource provisioning and pay-per-use payment models. Although, cloud computing has offered significant benefits to the IT indistry, the research on cloud computing is currently at its infancy, with many issues still […]

This research project will aid in the creation of safe networks of wireless devices, such as security cameras. Computer software using artificial intelligence will watch the networks for problems with the devices or misuses of the networks. In particular, this project will discover ways to ensure that the networks are compatible with the right kind […]

This project will be comprised of exploratory research as well as independent research with various mobile location based technologies. The first component of the project will involve working with an existing home automation platform called iControl (www.icontrol.com). The second component of the project will be the development of a “Family Finder” mobile application that interacts […]

Ce projet vise à utiliser des techniques de traitement automatique des langues naturelles et d’exploitation de données textuelles afin d’aider à prédire le contexte législatif dans lequel les entreprises oeuvrent. Nous espérons ainsi réduire le risque relié à l’incertitude entourant la législation en la prédisant le mieux possible.