The purpose of this project is to make use of the AI algorithms to enhance the energy consumption related to indoor heating ventilation and air conditioning (HVAC). The project involves collecting data using wireless sensors network, developing thermal dynamic model of a building, and developing Model predictive control (MPC) solver that reduced the energy consumption. […]

The state-of-the-art polymer electrolyte fuel cells have catalyst layers (CLs) made of Platinum catalyst on carbon support (Pt/C) bound together by proton-conducting polymer or ionomer. To overcome the challenges of high cost of Platinum catalyst ad corrosion of carbon support, alternative materials for catalyst and catalyst support are being considered. The interaction of ionomer with […]

This Marketing Project will be undertaken in order to assess current strategies, improve current processes, and brainstorm new strategies. The successful candidate will first be educated on our industry, our project, and our potential clients by the CEO and CTO. The main goal of this project is to strengthen the marketing (including messaging and branding) […]

Manganese (Mn) is a contaminant of emerging concern in drinking water as a growing body of epidemiological evidence has identified adverse cognitive, neurodevelopmental and behaviour effects in children. Canada has been a global leader in advancing the regulatory framework for Mn in drinking water, and in 2019, Health Canada published a new drinking water guideline. […]

Une des tâches les plus exigeantes pour les techniciens en conception et fabrication assistée par ordinateur est la création de modèles anatomiques 3D spécifiques à chaque patient. En effet, les techniciens doivent traiter manuellement les scans volumétriques de la bouche des patients pour extraire les modèles 3D des dents existantes et concevoir les dents manquantes. […]

L’équipe de Stratégies Grenier offre son expertise aux décideurs politiques, aux leaders communautaires, aux dirigeants économiques et aux entrepreneurs québécois, canadiens et d’ailleurs afin de réaliser leurs grandes idées. En 2021, l’équipe de Grenier Stratégies fonde le Forum Innovation, un réseau collaboratif voué à la promotion et à la diffusion de la culture de l’innovation […]

The knowledge about crop health and irrigation efficiency is highly beneficial for agricultural producers especially when facing challenges arising from climatic pressures. Unfortunately, current solutions designed to effectively manage inputs at a farm are mostly exclusive to large producers because of the operation scale and prohibitive technology cost. We intend to develop a collaborative governance […]

Over the past several decades, the scope of decision-making in the public domain has changed from a focus on unilateral regulatory verdicts to a more comprehensive process that engages all stakeholders. Consequently, there has been a distinct increase in public participation in the environmental decision-making process. While the potential benefits of public engagement are substantial […]

International Financial Consulting Ltd. (IFCL) is a leading Canadian consultancy, well established in enhancing development finance in Canada and globally through strategy work, particularly with National Development Banks (NDBs). Our partnership with Mitacs and McGill University to support a Business Strategy Internship would allow us to innovate and refine our current business model, marketing approach […]

MediLumine Inc. is a Montreal-based biotech company dedicated to the sale of 3D in vivo imaging contrast reagents and corresponding image analysis software. MediLumine is seeking to innovate their marketing strategies by developing an effective customer interaction network to allow for improved customer satisfaction and retention. As business moves towards a more virtual and automated […]

Fee calculation engine is a tool that is utilized for fee assignment of the investors in financial advisory companies. The assigned fees for the clients can be miscalculated by the advisors. An AI-based monitoring system can reduce the mistakes in the fee calculation by comparing a new assessed fee with the previous assignment. To this […]

Synthetic population generation is the process of combining multiple socioeonomic and demographic datasets from various sources and at different granularity, and downscaling them to an individual level. Although it is a fundamental step for many data science tasks, an efficient and standard framework is absent. In this project, we propose a multi-stage framework called SynC […]