Biomass is a key feedstock for the production of renewable fuels and chemicals with potential zero carbon emissions and at low cost. State of the art conversion of biomass to bio-fuels focuses on the pyrolysis of the feedstock at high temperature in conventional reactors. However, current technologies face many challenges to achieve lower costs than […]

The primary objective of this collaborative research project is to further advance an established industrial strength framework for the aerodynamic design optimization of Advanced Aerodynamic Systems. A major expense during a three-dimensional aerodynamic shape optimization (ASO) is the cost of obtaining design sensitivities or gradients at each design iteration. The computational cost grows rapidly as […]

In an underground gold mine, the movement of ore and waste material occurs on a massive scale and short-term excavation activities should be scheduled so that that the right proportions of these materials are moving through the mine in order to meet production targets. In the proposed project, a mathematical optimization model will be formulated […]

The proposed research project will improve CM Labs’ operator training simulators with animated human characters that interact and respond to the underlying physical simulation. This will relay important dynamical cues to the trainee about the safety and correctness of the procedures. Furthermore, the developed animation controllers will allow objects to be manipulated in a realistic […]

The main objective of this project is to design and test millimeter-wave RF front end components for applications in 5G new radio communication systems utilizing the thin-film multilayer LTCC fabrication process developed at ACAMP. With these fabricated and characterized prototypes, ACAMP will be able to showcase its specialized LTCC fabrication process and provide support to […]

The proposed research project aims to better enable positive sport experiences for persons with intellectual and developmental disabilities by improving the quality of sports programs offered. In order to accomplish this objective, the study will evaluate the quality of two sport programs – Active Start and FUNdamentals – within the largest intellectual and developmental disability […]

L’AQLPH (Association Québécoise pour le Loisir des Personnes Handicapées), sensibilise actuellement divers publiques aux difficultés que font face des personnes en situation d’handicap, mais le tout est couteux à faire opérer et exige une équipe sur place. Ce projet de recherche vise à développer une application pouvant opérer à peu de frais et partout sans […]

Post-secondary education, if community-led and projects-based, has the potential to transform education, food and housing policy, as well as build capacity locally in Brokenhead First Nation compared to two First Nations lacking road access. This partnership will explore optimal solutions to resolve development challenges through applied participatory research, community engagement, community development and the establishment […]

Mapping of pipelines and tanks is the first step toward providing an inspection service. Until now, this has been a manual process that is very time and resource consuming. The research proposed would allow for an unmanned vehicle to map the area without the need for humans. It will result in the creation of a […]

The Project’s objective is to continue with development and optimization of the promising HTL biocrude upgrading approach that has been executed during the previous MITACS Converge/Accelerated project. The activities are going to be focus on in-situ hydrogen production to limit external cost of hydrogen and process optimization for the obtention of Jet and Marine fuel […]

Development of leaks in abdominal cavity following surgery cause acute complications that have a high mortality rate and lead to expensive corrective procedures. These leaks are mostly detected following the development of complications as currently there is no method for their early detection and hence timely intervention which can save lives is not possible. In […]

The project aims to facilitate the research and development of new drugs by exploring deep learning methods to process molecules and to generate new molecules. The deep learning models that will be experimented include few shot learning, generative adversarial network, and variational autoencoder. We would like to improve these methods specifically for pharmacological datasets, which […]