Mobile Mesh Technology For Improved Connectivity In Canada

Lack of affordable, reliable access to the Internet in remote, rural, and Indigenous communities in Canada and internationally has led to a digital divide affecting billions. Left has developed its RightMesh technology, which lets nearby mobile devices connect without the Internet. Normally data flows from a phone, through Internet Service Providers (Telus, Shaw), to the […]

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Intelligent Product Quality Assessment (IPQA) Toolkit

Manufacturing is a main component driving the successful economy in a society. In order to remain competitive in the global manufacturing market, product quality control is critical. High quality product not only expands the client base, but also enables just-in-time correction to reduce the cost wasted in defective products. The goal of this project is […]

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Reliability Study for Urban Transit Buses

The reliability of transit buses is essential for the cost-effective delivery of public transportation services. This research aims to improve the reliability of transit buses through optimized operational maintenance planning. We specifically wish to develop a mathematical optimization model that would help transit operators in deciding which bus components to repair during a maintenance intervention. […]

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Determination of groundwater effects of the new Foothills Regional Waste Management Center storm-water management system

A new groundwater monitoring will be conducted consistently throughout the precipitation period (May~October) to collected a seasons worth of data around the “Engineered Forest”. The newly collected data will then be compared to historical values of the FRWMF to see if there are any observable differences between the two. This will prove there is no […]

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Apprentissage profond pour la reconnaissance de marques et de types de véhicules

On assiste ces dernières années à des performances de calcul des processeurs graphiques permettant le traitement en temps réel d’images et de vidéos. Ce projet exploite ce type de technologie afin de développer un module embarqué pour des applications d’apprentissage profond et de vision par ordinateur. Un des objectifs principaux du projet consiste à développer […]

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Validation of salivary heme oxygenase-1 as a biomarker of idiopathic Parkinson disease

The diagnosis of Parkinson disease (PD), the second most common neurodegenerative disorder in the developed world, is based entirely on clinical criteria which are labour-intensive to apply and often inconclusive. Based on promising initial data from our laboratory, we will determine whether biochemical measurement of the enzyme, heme oxygenase-1 (HO-1) in saliva samples distinguishes PD […]

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Crystallization and mechanism of action studies of antibody NB0940 binding to Poliovirus receptor

Significant advances in technologies related to antibody discovery and development have allowed therapeutic antibodies to become the fastest growing class of biopharmaceuticals over the last 20 years. Northern Biologics is a biotechnology company that seeks to develop therapeutic antibodies for the treatment of cancer and fibrosis. Together with Dr. Jean-Philippe Julien at SickKids (University of […]

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Context-Aware Advertising Language Modeling with Deep Learning for Internet Ads

Digital advertising is a rapidly growing industry, commonly seen on Facebook and Google. However, most people who start promoting their business with Internet Ads are not professional and experienced marketers. They need help to design and launch ads campaign, especially on writing ads copies. Meanwhile, people have started to embrace AI technologies in the industry […]

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