Connected and Automated Vehicles: Ameliorating Traffic Safety and Operations

It is expected that a complete deployment of Connected and Automated Vehicles (CAVs) onto a transportation network will take a long transition period and, therefore, reliable and accurate modeling of mixed traffic networks that include both conventional vehicles (ConVs) and CAVs is of paramount importance for the success of CAVs concept implementation. This project will […]

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DL-based commercial vehicle characteristics identification, detection, and classification system

Information is everywhere, especially in the commercial vehicle industry. Vehicles may be classified by number of axles/tires. There are several text- and label-based classification systems: for dangerous goods transport (HAZMAT); vehicle safety code compliance (CVSA); and general identification and tracking (license plates, USDOT numbers). Employing humans to perform simple classification and recognition tasks can be […]

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Distributed Machine Learning for Large-Scale IoT Systems with MEC

Machine learning in large-scale Internet-of-Things (IoT) systems can bring overwhelming demand on the limited resource of IoT devices, e.g., simple cameras and ambient sensors. However, it can substantially benefit from the additional computation and communication resources provided by a new wireless computing framework called Mobile/multiaccess Edge Computing (MEC). In this project, we study machine learning […]

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Machine Learning for Breath-Based Cancer Diagnosis

Non-invasive breath analysis has substantial potential for monitoring of a wide range of medical conditions and observation of overall health status. Breath testing is easy and painless; it can be done quickly and inexpensively, and can be repeated as often as needed, making it an attractive approach for screening or clinical diagnosis. In this work, […]

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Intelligent Chatbot Development for the Tourism Industry

This research helps to automate ontology development in order to support semi-supervised and active learning chatbot as much as possible, so that the overhead of chatbot training that requires human supervision is minimized, while relevant knowledge management activities become more efficient. The research objectives are both to refine the quality of the chatbot interactions and […]

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Effet des structures modulaires reconfigurables et des cellules dynamiques sur la performance des PME manufacturières au Québec

De plus en plus, l’amélioration des processus de fabrication et des méthodes de travail est un enjeu au cœur des préoccupations des petites et moyennes entreprises au Québec, et ce, encore plus dans le milieu agroalimentaire en raison de la diminution notable du nombre de petites fermes. L’incertitude et les variations constantes de la demande […]

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Feasibility of combining monolithically integrated silicon photonics with low cost, high performance, non-hermetic surface-mount technology (SMT) packaging

This project aims at experimentally validating the commercial viability of a new silicon photonics design which provides state of the art monolithic integration of various CMOS control electronics and BiCMOS high speed RF drive electronics which may be combined with high bandwidth non-hermetic SMT packages capable of withstanding standard high volume solder reflow processes. Combining […]

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Algorithme décisionnel intelligent pour systèmes énergétiques

La consommation énergétique des bâtiments représente à elle seule près de 40% de la consommation énergétique mondiale, et plus de 30% des émissions annuelles de gaz à effet de serre. Dans cet ordre d’idée, l’optimisation du contrôle des chauffages, de la ventilation et de la climatisation (CVC) représente un enjeu majeur pour le secteur énergétique […]

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Ultrafast laser nano-structuring in transparent glass: enabling 3D fibre-photonics packaging and assembly for high temperature sensing

This MITACS project addresses a significant barrier the partner company (Fibos Inc.) is facing with their current customers in manufacturing of fibre optical sensors that can be robust and cost effective for the high temperature and pressure environments. The market is aimed at sensing of rotor assemblies in turbines where electrical and other means of […]

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Development of novel catalytic systems for green-house gas abatement

The use of fossil fuels for energy has led to the significant emission of greenhouse gases from the stationary and automobile sources. Methane (CH4) is an abundant source of fuel found in large quantities in natural gas reserves or produced synthetically is an alternative fuel for motor vehicles, large track transportation, marine application because of […]

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Multiphase and multiphysics CFD modeling of a gasifier and a 3 phase reactor forEnerkem technology

Thanks to its technological platform, Enerkem provides a green and sustainable solution to address the challenges of oil dependence and waste disposal. The solution put forward is biofueis production from municipal solid waste. The heart of this technology is based on processes demanding high control of complex physics including fluid flow and thermochemical reactions. Seeking […]

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“Minimally invasive mechanical circulatory support scientific data acquisition”

Heart failure is a prevalent disease affecting 250,000 people in North America alone. This disease can be treated by the transplant of a donor organ, but insufficient donor organs have led to the development of mechanical circulatory support which now provide a reliable alternate treatment option for patients. Unfortunately, many patients that could be helped […]

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