This project seeks to add value to agri-food waste by extracting natural chemicals from the waste for use in new crop protection applications and then using the leftover material as a diet ingredient for producing black solider fly larvae. Multiple products can be obtained from black solider fly larvae including fertilizer, protein and oil. The […]

La présente proposition s’appuie sur un partenariat d’une durée de quatre ans, débutant en avril.2010 et se terminant en mars.2014, avec le Groupe Aldo, chef de file du domaine de détail des chaussures. Ce projet d’envergure fait suite à un projet industriel réalisé en 2009-2010, lequel repose sur la recherche d’efficience opérationnelle basée sur l’exploitation […]

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 […]

Cannabis sativa is a plant grown used as industrial hemp, for CBD oil, and both medicinal and recreational cannabis (marijuana). Since production has historically been prohibited in Canada and the USA, little is known about insect pests of cannabis, including a species of aphid, the cannabis aphid (Phorodon cannabis). In order to develop effective management […]

Pour assurer le maintien et l’accroissement de la vitalité et visibilité, une organisation à but non lucratif (OBNL) se donne les moyens et la capacité d’adaptation pour évoluer vers une transformation numérique réussie, ainsi que pour créer de la valeur pour leurs clients, projets et services. L’objectif général consiste à analyser l’organisation avant sa transformation […]

La réalité virtuelle est un outil de plus en plus utilisé par et pour les personnes aînées. Par contre, il y a peu de connaissances scientifiques entourant l’utilisation de cette technologie dans le cadre d’expériences de nature sociale. Ce projet vise donc à mieux comprendre comment les personnes aînées réagissent à des activités de sensibilisations […]

In industry, inspection of manufacturing floors is handled by humans. The drawback of using humans for this repetitive task is that collected data can be highly prone to bias due to small sample size and industrial engineers can miss relevant details during the cycle time analysis. Calculations often misinterpret the real factory situation. This research […]

This project investigates automobile purchasing behavior of female millennials. In order to achieve the goal of understanding and making use of purchasing behavior, data are to be collected, managed, and analyzed. In addition to using existing data and third-party data, two major tasks of data collection are the use of questionnaire and web crawling to […]

Fluorescence lifetime imaging (FLIM) is an emerging technique that is used drug discovery by universities and pharmaceutical companies. The research team developed a multiplexing technique that can improve the imaging speed by 1000 times. However, matching 1000 focal points to 1000 detectors individually is very difficult. In this project, the team plans to develop a […]

The first MITACS internship for this project focused on design of the “Be Kalm” Anxiety App. The second internship will focus on the programming, implementation, and evaluation of the resulting design. The App will combine several interactive methods of diffusing anxiety with the use of images, music and heart rate monitoring. The HeartBeats music player […]

Maps are vital in our life. Three-dimensional (3D) maps are essential in traditional and new applications, such as smart cities, autonomous vehicles and augmented reality. The number of end-users who require 3D maps has expanded exponentially in recent years and is anticipated to expand even more in the future. LiDAR scanners are the main sensors […]

Machine Learning is advancing at an astounding rate. It is powered by complex models such as deep neural networks (DNNs). These models have a wide range of real-world applications, in fields like Computer Vision, Natural Language Processing, Information Retrieval and others. But Machine Learning is not without some serious limitations and drawbacks. The most serious […]