This project will investigate the challenging possibility of operating anaerobic digesters at 20 ºC without the supply of any external heat source by combining anaerobic digestion with sludge ozonation. The hypothesis is that such combination will enable the operation of anaerobic digesters at 20 °C, and achieve higher biosolids reduction, more biogas production, and increased […]

Additive manufacturing (AM) is a process family which is widely used for deposition of thin protective layers of novel alloy materials on components operating in severe conditions, and also for fabrication and repair of complex 3D parts. The scope of this research is to establish a process planning framework for metal based bead deposition processes […]

This project will help the industrial partner design tests to prove a concept for fusion energy production. In the tests, metal cylinders (and other shaped liners) are dynamically collapsed to compress a high temperature plasma to fusion conditions. This highly dynamic event, however, may result in some of the metal from the cylinder contaminating the […]

While GPS has become the de-facto standard for positioning, its availability and accuracy are hindered by attenuations. Positioning using vision-based systems is becoming an attractive solution due to its infrastructure-less architecture and its wide integration into portable devices. This work aims to develop novel vision-based algorithms for head-mounted sensors that would solve various problems such […]

Recent advancement in computer vision and sensing technology has shown great potential for autonomous vehicles. This work aims to studies using an Augmented Reality heads-up display to improve the reliability of Advanced Driver Assistance Systems (ADAS). The algorithms developed will help drivers detect obstacles e.g. pedestrians crossings, improve current lane departure warnings to allow a […]

Heating and cooling in residential and commercial buildings account for 20% of total energy consumption in Canada. Conditioning indoor air using less energy is closely associated with minimizing production of greenhouse gases and making a sustainable global environment. In this study, we apply a nanocomposite fibrous membrane for an energy recovery ventilator (ERV). Heat and […]

Heating and cooling in residential and commercial buildings account for 20% of total energy consumption in Canada. Conditioning indoor air using less energy is closely associated with minimizing production of greenhouse gases and making a sustainable global environment. In this study, we apply a nanocomposite fibrous membrane for an energy recovery ventilator (ERV). Heat and […]

Actuellement, au delà de 8 millions de chats vivent dans les foyers canadiens. Plusieurs maladies induisent des pertes de sang dans l’urine et, par conséquent, celle-ci peut être un indicateur de problèmes de santé potentiellement graves telles que des infections microbiennes et diverses maladies du rein. La Dre Élodie Khenifar, vétérinaire aux études supérieures à […]

NATURE AND OBJECTIVES OF THE PROJECT Patients who suffer from addiction to opioids often experience depression. Furthermore, data concerning the use of effective medication to treat depression in patients addicted to opioids is insufficient. Desvenlafaxine is an antidepressant that has been approved in Canada to treat depression within the general population. We hereby intend to […]

L’objectif de cette étude est d’analyser les paramètres physiques et d’opération qui contrôlent la clarté à la surverse dans un décanteur dans le but d’y abaisser la concentration solide. L’étude comprend deux volets : l’un théorique qui consiste au développement d’un modèle mathématique et l’autre expérimental pour la validation et la caractérisation. Le modèle mathématique […]

During physiotherapy a continuous assessment and progress tracking of a patient’s performance is of clinical interest. In this project, based on the promising results from the initial prototype, we will redesign the wearable sensors to improve tracking accuracy, communication speed and robustness, incorporate onboard data storage and computation, and minimize cost and size. Furthermore, we […]

Machine learning is a subfield of artificial intelligence that aims at producing computing models from observations (data), with no explicit coding made by humans. Recent advances have illustrated a strong potential of machine learning, with the potential of being a disruptive technology in many domains. For the current project, we are investigating techniques for making […]