Avec les progrès prodigieux des dernières années en matière d’agriculture de précision, ce projet apporte une solution originale à la problématique de la détection automatique des mauvaises herbes ainsi que leur éradication dans les bleuetières de bleuets nains (sauvages). Le principal objectif de ce projet consiste à développer un système robotisé autonome capable d’effectuer la […]

A significant portion of decision making, path planning and navigation algorithms for Autonomous Vehicles (AV) rely heavily on accurate estimation of the current location as well as future trajectories of the surrounding road users. There are different kinds of drivers in urban environments, and an expert human driver will identify dangerous drivers and avoid them […]

In Computed Tomography (CT), X-ray radiation is used to penetrate through the internal structure of the patient body in order to produce digital images. This means patients could be exposed to certain level of X-ray radiation dose. Accumulation of these exposures beyond certain threshold could increase risk offatal cancer. Thus it is of paramount importance […]

The aim of this project is to survey and develop methods for improving text generation algorithms. Natural Language Generation (NLG) is a subfield of Deep Learning that studies how to enable computers to write coherent texts. Current methods lack the capacity to adapt the content they generate, producing articles that are not always coherent nor […]

Dans les pays en voie de développement, des enquêtes sont utilisées pour mesurer le niveau de pauvreté des ménages. Pour étendre cette information à l’ensemble de la population, il est nécessaire de prédire la pauvreté des ménages à partir des enquêtes et d’imputer cette prédiction à chaque ménage du recensement. L’utilisation de ces données permet […]

The ultimate objective of the project is to develop an AI-based framework addressing the forecasting needs of a typical fashion and apparel retailer. The project activities involve development of models predicting demand for particular fashion and apparel items in the context of different customer groups, as well as techniques for identifying fashion trends. The developed […]

Ship strikes and fishing gear entanglement in particular have put right whales at risk of extinction with approximately 400 of this species remaining. Monitoring the remaining whale requires reliable detection of whales over large spatial scales. Traditionally, whale population size and distribution are estimated using trained experts on survey boats and planes. This project will […]

Testing for COVID-19 is a major strategy to manage the pandemic and one of the most important criteria and measures that are needed to restart the economy in Canada (First Ministers’ statement on shared public health approach to support restarting the economy, April 28, 2020). Two types of diagnostic devices are commonly used: 1) Lab-based […]

Skill is an open-source standard format for resume writing that is optimized to be processed by AI systems. It can remove the hassle and stress of fully expressing themselves from job seekers and eliminate the hassle of finding the best candidate from employers. As AI systems grow more popularity in different fields, Skill will provide […]

In this project we will conduct Social network analysis (SNA) of MyCA user network, in order to assess the interplay between social influence and the diffusion of information within the MyCA platform. SNA offers a convenient method to represent and analyze interactions among the components of a system. SNA can thus provide an abstract representation […]

The latest cybersecurity incidents (e.g., Desjardinds, CapitalOne) have shown that the current cybersecurity solutions are not always effective in capturing and preventing attacks, especially when it comes to insider attacks that originate from within the targeted organization. In this project which will be conducted in collaboration with Xpertics, we aim to build a new solution […]

Membrane based energy recovery ventilation (ERV) is now a key component of most energy efficient modern buildings. ERVs improve the indoor air quality of buildings through ventilation and reduce the energy cost of ventilation by using building exhaust air to pre-condition fresh building supply air. In cooling conditions heat and humidity are removed from the […]