Innovative Projects Realized

Assessing Sport Performance Using Mobile EEG

Perhaps one of the most tantalizing goals of a coach or trainer is to determine how best to maximize athlete performance. In recent years there has been an explosion in the wealth of data related to athlete training and performance – such as a better understanding of athlete mental health and the impact it has on performance. However, there are still gaps in how coaches and trainers use this data and there is a disconnect between the theories springing from academia and the applied nature of this data. Our hope with this project is to bridge this gap by applying our knowledge of neuroscience to better understand how baseball players perform with an industrial partner that is using cutting edge technology to understand sport performance. Specifically, we hope to use sport performance data from baseball players combined with our understanding of neural-imaging data and mental health information to see if we can better understand what makes an athlete perform well.

Accelerated Carbon Capture, Utilization and Storage in Mine Tailings

Reducing carbon dioxide (CO2) emissions to limit the impacts of climate change requires implementation of CO2 reduction technologies across a wide variety of industries. This research project will develop carbon management and sequestration technologies for reducing CO2 emissions in the mining industry with a focus on diamond mines in Canada, South Africa and Botswana. The outcomes of this research will be used by mine operators to implement carbon sequestration processes, which will improve mine waste management practices and environmental performance, reduce operational costs, and benefit local communities. This research will aid Canada’s transition to a low-carbon economy and make significant contributions to environmental sustainability, while providing knowledge and training for three postdoctoral fellows in mineral carbonation and tailings management.

PHYTOREMÉDIATION DE SITES CONTAMINÉS PAR DES COMPOSÉS DE PRÉSERVATION DU BOIS

L’objectif général de ce projet est d’évaluer la faisabilité de l’utilisation des phytotechnologies pour la décontamination des sols d’anciennes cours d’entreposage de poteaux électriques en optimisant l’efficacité des plantes pour réduire la charge polluante tant en éléments traces qu’en composés organiques. Le projet vise ainsi à tester l’utilisation d’une variété de plantes, reconnues pour leur utilisation en phytoremédiation, et d’étudier diverses façons de favoriser leur implantation sur le terrain dans les conditions particulières des sites d’entreposage.

Development and implementation of an analytical noise model for axial swept fans

Fan noise is a major environmental issue as it is found in daily appliances such as kitchen fans, hair dryers or computers, in cars such as engine cooling fan systems and Heat and Ventilation Air Conditioning (HVAC) blowers (creating a nuisance not only for passengers but also for pedestrians in city traffic jams), and in all ventilation systems for buildings or tunnels. It possibly causes significant hearing losses and health issues (increased heart diseases), and as such must be mitigated. Blade sweep is one way of reducing noise and thus must be considered in a design cycle. The present project is the development and implementation of a fast analytical model for blade sweep in the commercial noise prediction software dedicated to axial rotating machines, Optisound.

Artificial Intelligence for Information Governance: A Semantic Model to Automate the Appraisal and Description of Data, Information & Knowledge

Faced with the exponential growth of information sources, the instability of new digital forms and the convergence of data, content and records management systems, organizations are faced with increasing requirements to adopt an effective approach to exploit their information assets. Through the qualitative study of information inventories produced by Information Management experts, as well as automatic classification experiments, the research will develop a semantic model and its associated algorithms for the automatic classification of business records. The semantic model developed in this project will constitute a stepping-stone to automatically assigning metadata tags and retention periods on data, information and knowledge in various business contexts contributing to better corporate governance and accountability.

Les produits locaux sont-ils meilleurs dans leur territoire de production ?Les valeurs attribuées aux produits et au territoire, selon la mobilité des produits et des consommateurs.

Goûter un produit du terroir suscite-t-il l’envie de visiter son lieu de production ? Le produit gastronomique consommé sur place, au restaurant ou lors d’un festival est-il meilleur ? La pandémie de Covid-19 a limité la possibilité de se déplacer, mais des campagnes promotionnelles ont soutenu l’achat local. Quelles valeurs a-t-on attribué à ces produits ? A-t-on eu davantage envie de visiter les fermes et les producteurs qui les ont produits ? Les producteurs ont également rendus les produits disponibles en ligne, ou pour emporter à la maison. Ces modes d’accès changent-ils les valeurs accordées au territoire ? En quoi ces produits représentent-ils une culture locale ? Ces questions seront posées aux responsables de l’offre gastronomique de la région de Québec et de Charlevoix et à leurs consommateurs.

Digital Strategy Coordinator – Tenzin Ozaki – Queen’s University

Problem: Lawyers need to earn professional credits each year. Sometimes their firms provide accreditation options, but many lawyers have to source their own accredited training. They are busy people who need a good selection of learning, on-the-go.
Project: Develop a strategy for a digital lawyer accreditation product.

Shawcor – Business Strategy Internship

Shawcor wants to work with a team of three MBA students looking for a challenge. Each student will be assigned one of the business segments of pipeline and pipe services, composite systems, or automotive and industrial (connection systems), stretching across all served markets.

1) After they complete an orientation and conduct an in-depth analysis of our company, segment, and its operations, they will also participate in several discovery sessions for their assigned business segment and assist in the
development of key findings and observations.
2) Following the segment review the team will work on the enterprise level Shawcor purpose and impact and contribute based on their segment findings and view of the company.
3) Final presentations will be to business segment leaders and Shawcor executives with a December milestone presenting a vision of the future to the board and executive team.

Business and Marketing Strategist

As the business and marketing strategist, I will develop a strategy for Hovey’s new outdoor product line and an e-commerce platform to market, sell, and fulfill orders.

Analyse et optimisation des operations logistique d’Electrobac suite a I’implantation de son reseau.

Depuis la mi-octobre 2012, Electrobac a implante un reseau de bacs de recuperation de dechets electroniques a I’intention des citoyens montrealais supporte par un plan logistique elabore lors du premier stage. Electrobac enregistre presentement une forte augmentation de ses points de collecte. Cette croissance va poser un defi de taille au niveau de la gestion des operations logistiques. Pour ce faire, nous conduirons une mise a jour des previsions suite a I’implementation du reseau; no us analyserons les resultats d’un sondage pour mesurer la perception et I’image de la compagnie Electrobac au sein de son ecosysteme et enfin, la resolution probleme de tournee multi periodes permettra de mieux controlerles coats lies aux operations de collecte.

Public Interest Law Centre 2.0 – Independent Business Plan

I will be working alongside distinguished industry professionals (CPAs, lawyers, etc) to create and enact a business plan to ensure a comprehensive and promising 3-year projection can be made and followed through with. My role will be modelling things such as risk, financial problems and revenue-generation.

Utilisation de nuage de points lidar à haute densité en foresterie de précision

Dans l’est du Canada, la gestion durable des forêts de feuillus et des peuplements de bois mixtes passe, entre autres, par l’implémentation d’une sylviculture de précision. En effet, dans ce type de peuplement, l’identification des tiges de haute valeur marchande et de celles à conserver est un élément primordial tant au niveau économique qu’au niveau écologique. Bien que les compagnies forestières bénéficient d’un soutien des technologies de télédétection (ex. lidar aérien, imagerie satellitaire ou relevés photogrammétriques), elles manquent d’informations précises à l’échelle de l’arbre individuel pour optimiser les opérations de récolte. Avec les avancées récentes dans les domaines des véhicules aériens sans pilotes (UAV) et la miniaturisation des capteurs lidar, l’acquisition mobile de nuage de points à ultra-haute résolution (> 1000 points/m²) est de plus en plus accessible et pourrait bien combler les besoins de l’industrie. Ce projet vise donc à valider le concept d’utilisation de données lidar mobile (terrestre et sur drone) à très haute résolution pour le support de la sylviculture de précision et leurs intégrations dans la nouvelle génération d’inventaires forestiers.