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 […]

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 […]

The Canadian Arctic is warming at an alarming rate. The coastal community of Pangnirtung, Nunavut has long witnessed and experienced the reality of climate change. Country food is the main resource for Panniqtuumiut all year round and practices related to hunting and fishing are key to family and community well-being. Local organizations and community members […]

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 […]

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, […]

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 […]

In this MITACS-funded project, a postdoctoral researcher will work with partners at Trent University and Bird Studies Canada to expand our understanding of how wind turbines affect birds and bats. We will leverage an extremely detailed database on wind-wildlife interactions that is managed by Bird Canada. Using these data, we will investigate whether bat and […]

Documentation is an integral part of any product development. Product and documentation should co-evolve; whenever the product is changed the documentation should be updated and vice versa. Yet, oftentimes, multiple documentation and product versions may exist; between and within the documentation of the product, relations and dependencies may or may not be explicit, documented, trustworthy […]

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 […]

The buildings have an important environmental and social footprint, and to respond to that, the sustainable buildings are the new tendency of the building sector. To reduce the negative impacts associated to it, accreditations like LEED were developed, but it is mostly focused on the environmental aspects, and the social criteria are sadly neglected. This […]

L’industrie laitière et de bétail implique la distribution de semences génétiquement optimales et de qualité. La cryoconservation du sperme bovin est la façon la plus efficace de fournir ces semences aux producteurs à travers le monde. L’inconvénient est que ce processus de congélation, à de très basses températures, induit une diminution de la fertilité des […]

Nowadays, we are witnessing a wide adoption of Machine learning (ML) models in many software systems. They are even being tested in safety-critical systems, thanks to recent breakthroughs in deep learning and reinforcement learning. Bombardier, a world leader company in the domain of aerospace have started integrating deep learning models in its products, systems and […]