Envision SQ Inc. (EnvisionSQ), in a joint effort with the University of Guelph, is currently working on applications of their NanoCleanSQ disinfectant-sanitizer to help slow down the spread of the SARS-CoV-2 virus (the virus that causes COVID-19). NanoCleanSQ is a clear coating material and acts as a photocatalytic disinfectant that can be easily applied to […]

Le dépistage de la fièvre et des autres facteurs reliés à la COVID-19 à l’aide de l’intelligence artificielle et projeté en réalité augmentée pour assister les ressources médicales sur le terrain.

The purpose of the project is to compare how well the neuro-compensator (NC) hearing aid restores various aspects of auditory perception relative to a standard technology used in the industry, called wide-dynamic range compression (WDRC). Specifically, the intern will test individuals on their ability to comprehend speech, to make fine discriminations of musical sounds, and […]

Mon projet de maîtrise vise à développer des produits de santé naturels à base d’extraits naturels, non issus du cannabis, qui ont des effets bénéfiques sur la santé, plus précisément de prévenir l’inflammation et l’anxiété. Plus spécifiquement, il a pour but de démontrer que la modulation du système endocannabinoïdome par certains extraits naturels entraîne des […]

Addem Labs is developing an office-friendly machine to manufacture single- and double- layer printed circuit boards (PCBs) on a user’s desktop. A core part of the machine is a miniature tool-changer mechanism that can pick up and use the tools required for various mechanical operations – the intern will be designing and developing this automated […]

The objective of this project is to develop full-coverage path plans for an autonomous vehicle, designed and developed by DOT Technology Corp., operating in a farm field. Conventional methods used in the realm of computational geometry, such as: (a) converting a digital representation of the physical space, i.e., the farm field of interest, to a […]

Patients discharged after undergoing non-elective (i.e., semi-urgent, urgent, or emergency) surgeries are at substantial risk, in the 30 days following surgery, of hospital re-admissions and presentation to emergency departments or urgent-care centres. The use of virtual care with remote automated monitoring (RAM) technology to monitor patients from their homes after surgery has the potential to […]

Differential mobility spectrometry (DMS) is a technique that is used for the analysis of chemicals by separating complex gaseous mixtures under the influence of an electric field. It is a widely used technique and is successfully deployed in many areas, including drug and explosives testing at airports. In analytical laboratories, it can be used to […]

Canada, like other countries, has been facing different challenges related to the spread of COVID-19. Since the starting of the pandemic, we all learnt that contaminated surfaces can be one of the main sources of virus transmition. In this project we are proposing an innovative multifunctional coating with antiviral and antimicrobial activity to prevent the […]

Front-line clinicians have reported that different respiratory stiffness results in different COVID-19 patient conditions on ventilators. In this project, we test and improve NovaResp’s monitoring hardware and analyze the collected data for development of algorithms with focus on respiratory stiffness of patients with COVID-19. The resulting algorithms and monitoring device could lead to determine whether […]

Presently, there are almost 100,000 people in Canada with COVID-19, the disease caused by the SARS CoV-2 virus, and almost 7000 have died. Although an effective vaccine is the ultimate goal, it is a long way off. To slow the spread and reduce the medical, social, and economic burdens, new treatments are needed. To find […]

There is currently an abundance of research in the community in terms of capturing X-ray data around COVID-19 analysis to help diagnosis for radiologists. However, at the same time there are staffing shortages that lead either to long diagnosis wait times and potential misdiagnosis. Our research is focused around rapid deployment of AI and developing […]