This research project will develop an intelligent UAV (unmanned aerial vehicle) system, which is capable of autonomous navigation, for the inspection of power lines and utility. The automated inspection is based on the technologies of computer vision and artificial intelligence. The UAV flies autonomously over the infrastructure capturing the images with high-definition RGB camera and […]

The mammalian liver is known for its regenerative property, capable of fully restoring mass and function after injury. However, when this process is in disarray, chronic liver diseases occur, for which the current solution is liver transplantation. Transplantation remains an imperfect solution as the supply is limited and rejection can happen. Today, 25% of patients […]

This project focuses on physical and biological elements of small tidally influenced marsh channels on Swishwash Island in the central arm of the Lower Fraser River Estuary. In addition to fish data; marine invertebrate, vegetation, sediment, and toporgraphic data will also be collected and analyzed. This will provide insight into the practise of monitoring tide […]

The business partner in this application (Rna Diagnostics, Inc.) has developed a diagnostic tool to determine whether the tumour(s) of a cancer patient undergoing chemotherapy before surgery is responding (dying) in response to treatment. This tool, called the Rna Disruption Assay (RDA), can help tailor chemotherapy, such that chemotherapy treatment is discontinued (along with its […]

In our vision, each human operator participating to an emergency response mission should equipped with a portable mobile command center that collects, elaborates and displays the meaningful information generated within the area of operations. In such scenario, the availability of a reliable network able to offer the required performance and reliability to an heterogeneous set […]

The objective of this project is to use artificial intelligence (AI) approaches to solve complex industrial problems. The two biggest advantages of AI-based approaches are the ability to continuously learn and also learn adequately from historical data. Traditionally, many process information are unmeasurable during live operations because of instrumentation limitations. Also, plants are not sufficiently […]

G protein coupled receptors (GCPRs) are proteins found at the surface of cells are responsible for activating numerous intracellular signaling pathways and thus are involved in regulating about every physiological response. Activation of GPCRs occurs by compounds as varied as photons, lipids, ions, small hormonal or neurotransmitter compounds or larger peptidic and protein molecules. As […]

Le projet vise à dresser un portrait régional et provincial de l’adaptation aux changements climatiques (ACC) au Québec et d’identifier le niveau de mobilisation et les acteurs actifs ou intéressés à l’ACC. L’étude se situe dans le cadre du programme Par notre propre énergie (2017-2020), mené par le Regroupement national des conseils régionaux de l’environnement […]

Display technology is ever improving; a current display technology being researched and created includes the use of LED arrays. One array could be used to produce a low quality image with minimal energy, while another more energy intensive array would be used for the sharper aspects of the image. Knowing exactly how these LED’s behave […]

Glaucoma is the second leading cause of blindness in the world, mainly induced by increased pressure in the eye. Marijuana has been shown to reduce such pressure, thus benefit glaucoma patients. In this project, we test several components from marijuana extracts that are unlikely to cause psychoactive symptoms, for their therapeutic effects on glaucoma. This […]

Advanced batteries are critical for achieving high-performance electric vehicles (EVs) and supporting goals to reduce greenhouse gas emissions. The prevailing rechargeable Lithium-ion batteries (LIBs) using liquid electrolytes, are the major choice for current EVs. However, these LIBs still suffer from safety, lifespan, and energy density issues. Solid-state lithium batteries (SSLBs) have recently emerged as alternative […]

Detection of fights and anomalous behavior of individuals in a crowd is a common problem in computer vision. Some tools that currently exist rely on optical flow of tracked features is a sequence of video frames. These motion algorithms are sensitive to independently moving objects in the frame. What constitutes an “anomaly” is context (eg. […]