At a high level, the goal of this project is to create a system for producing synthetic datasets based on real data. As a large financial crime detection firm, Verafin deals with large volumes of sensitive data which must be kept private, however they are also interested in collaborating with academics to gain new insights […]

The Mandatory Entry-Level Training (MELT) virtual reality (VR) truck simulator under development by Serious Labs Inc. offers a training solution for boom and scissor lifts. MELT in Alberta is a Class 1 training program in compliance with the National Safety Code Standard 16 Commercial Truck Driver Entry Level Training. The purpose of this research project […]

Mental disorders are the leading cause of disability in Canadaxiii. Unfortunately, there are significant gaps in care including a lack of support in navigating the mental health systemxivxvxvixvii. It is widely agreed by the medical community that there will be a wave of widespread need for mental health related services resulting from COVID-19xviii, which will […]

An important legal task for which natural language processing has a use-case is for assessing the risk of confusion for trademarks. By means of a thorough understanding of factors which are used by legal professionals to make decisions in this domain, we replicate the process by using state-of-the-art deep learning models for natural language processing. […]

New meters, sensors and other field data collection devices are providing a plethora of real time system operational data for building, industrial plants and production systems. At the same time, building owners, industrial plant owners and campus based operations are being challenged with managing their energy use both through conservation and demand management processes. In […]

Human safety represents an ensential key feature in future samrt cities, which can be improved by mission critical vehicles that can operate in remote locations where rescue teams cannot reach due to various factors such as unavailable roads, floods, or fires. For example, unmanned aerial vehicles (UAVs) or simply drones, that work together in a […]

Hydro-Québec has data acquisition systems for a multitude of sensors, some of which have been installed since almost 20 years in its electrical generation equipment (turbine-generator units – TGU). The collected data is primarily used to ensure that the information is adequate in the event of an equipment breakdown or for specific behavioral studies. Data […]

Smartphones are not only incredibly powerful computing devices, but also sophisticated sensor platforms. Leveraging sensed user context, such as location, to provide targeted advertising has been discussed as a potential application of ubiquitous sensing in the literature, and is beginning to appear in industrial applications. In this proposal we describe the innovations necessary to realize […]

There is a strong demand for effective means to detect and record trespass activities onto farm properties, which cost the agriculture industry many hundreds of millions of dollars each year. The goal of the project is to design and develop a trespasser detection system based on the presence of a human being carrying a cell […]

Software developers have been quick to capitalize on the growing number of children using smartphones, publishing enough educational titles to warrant their own category on the Apple App Store. However, establishing the efficacy and usability of these mobile educational games can be difficult and expensive. Heuristics are commonly used during the evaluation of user interface […]

Deep learning is nowadays one of the most popular areas in computer science which has shown extraordinary performance and enjoyed wide use in a variety of fields. This research project is aiming at exploring the application of deep learning algorithms in two fields: autonomous driving with 5G networks, and facility maintenance with CT scanning. In […]

Les agents conversationnels (chatbot) sont de plus en plus populaires. On n’a qu’à penser à Google Assistant, Alexa ou Siri. Ces agents utilisent l’apprentissage profond afin de classifier les phrases des utilisateurs et d’en extraire les informations pertinentes. Les modèles derrière ses technologies sont d’habitude entraînés sur des corpus (des bases de données contenant du […]