Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 133 projets complétés

2940
AB
5159
C.-B.
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projets par catégorie

Data Visualization of GIS Data for Managing Land Access

Access to private or leased land is currently not a simple problem. Landowners would like to know who is on their land, when, and for what purpose. Getting permissions from landowners to use their land is often not straight forward; often leading to bypassing obtaining permission. Some landowners do not want hunters, but do not mind artists or photographers accessing their land. To simplify this process, Western Heritage is building the SaskLander Platform that provides an easy-to-use interface for managing interactions between landowners and those seeking permission to access their land. Saskatchewan Polytechnic will be working with Western Heritage to provide a scalable visualization of GIS data that offers high level detail that can be drilled down to every piece of land across multiple provinces. Land-users will be able to locate land they wish to access and request permission from landowners to have access to the land. Landowners will be able to manage land use requests automatically or at an individual request level.

Voir la description complète du projet
Superviseur du corps professoral :

Kelvin Boechler

Étudiant :

Partenaire :

Western Heritage Services Inc.

Discipline :

Computer science

Secteur :

Information and cultural industries; Professional, scientific and technical services

Université :

Saskatchewan Polytechnic

Programme :

Accelerate

Résumé objectif et informatif d’opinions

Le résumé des opinions des clients est une tâche essentielle pour un entreprise dans une ère où le consommateur se fait un avis au travers des recommandations de ses pairs. L’objectif du projet est alors de fournir une représentation générale, informative, et contenant des avis objectifs et constructifs de ces opinions. Pour cela nous proposons la mise en place d’un modèle d’apprentissage profond reponsant sur les techniques d’autoencodeur et de gradient reversal layer afin de générer des résumés représentant les opinions mais dont le sentiment n’est pas prédictible.

Voir la description complète du projet
Superviseur du corps professoral :

Bang Liu

Étudiant :

Partenaire :

Mouvement des caisses Desjardins

Discipline :

Computer science

Secteur :

Finance and Insurance

Université :

Université de Montréal

Programme :

Accelerate

Modèle de prévention de maladies basé sur l’IA et l’internet des objets

Ce projet de recherche vise à concevoir un modèle de prévention du COVID-19 basé sur les techniques d’Intelligence Artificielle
(IA) et de l’internet des objets (IoT). Les données physiologiques seront obtenues des dispositifs intelligents et des bases de
données virtuelles. Ces systèmes serviront pour le développement d’un outil de mesure et d’observance des indicateurs chez des
patients COVID-19 afin de réduire les risques. Les systèmes de classification et d’analyse de données physiologiques basés sur
l’intelligence artificielle serviront pour la prévention du COVID-19.

Voir la description complète du projet
Superviseur du corps professoral :

Hamid Mcheick;Sehl Mellouli;Rim Haddad

Étudiant :

Partenaire :

Mediterranean Institute of Technology

Discipline :

Computer science

Secteur :

Information and Communications Technology; Health and Related Sciences & Technology; Artificial Intelligence

Université :

Université du Québec à Chicoutimi

Programme :

Globalink Research Award

Factors influencing shorebird use of managed and unmanaged saline lakes in Saskatchewan

Naturally saline lakes are highly productive ecosystems that support a wide variety of species and are of commercial value for sodium sulphate production used as detergents and other commercial products. Saskatchewan contains the most saline lakes in all of Canada, and many of these lakes are critical staging habitat for migratory shorebirds that rest and refuel on brine shrimp prey. An active sodium sulphate mine at Chaplin Lake, SK controls water levels in sub basins that are apparently beneficial to the brine shrimp and shorebirds. Our project aims to find out what factors are important for the brine shrimp and shorebird populations at Chaplin Lake and how they vary over space and time and in relation to the mine’s water management. In this project, interns will assess shorebird abundance at multiple saline lakes in Saskatchewan to better inform their management and protection and will identify factors that affect bird use through measures of water quantity and quality. Information will be useful for operations on Chaplin and other saline lakes to provide data on optimal water levels and conditions necessary to maintain both commercial production and shorebird populations in a changing climate.

Voir la description complète du projet
Superviseur du corps professoral :

Christy Morrissey;Ann McKellar

Étudiant :

Partenaire :

Nature Conservancy of Canada;Saskatchewan Mining and Minerals Inc

Discipline :

Life Sciences

Secteur :

Arts, entertainment and recreation; Mining; Professional, scientific and technical services

Université :

University of Saskatchewan

Programme :

Accelerate

Development of a novel nutritional feed additive using guanidinoacetate and methionine for the poultry industry

Creatine has been used as a feed additive in the poultry industry to improve energy metabolism and growth performance. However, because of creatine’s relative instability in foodstuffs, GAA has recently been explored as a potential alternative to creatine supplements. GAA is the immediate precursor for creatine production in the body. For this process, another amino acid: methionine, is essential. Therefore, to get the best outcome of GAA supplements, an adequate amount of methionine should be available. GAA plus methionine combination is a promising feed additive to improve meat quality and growth performance in animals. Hence, we are investigating the stability of GAA plus methionine mixture in animal feed to predict the commercial value of the novel feed additive. Moreover, we will perform the safety assessment of this nutritional feed additive using non-animal models. Global animal feed industry aims to improve quality animal products at a low cost. Therefore, properly incorporating nutrients into feed additives will benefit the feed industry, commercial animal farmers, and consumers while fulfilling increasing demands for animal-based proteins.

Voir la description complète du projet
Superviseur du corps professoral :

Robert Bertolo

Étudiant :

Partenaire :

Springboard Atlantic Inc.

Discipline :

Life Sciences

Secteur :

Agriculture and Food; Health and Related Sciences & Technology

Université :

Memorial University of Newfoundland

Programme :

Accelerate

An ecological economics analysis of Quebec Sustainable Mobility Plan

As part of the transition plan to low-carbon economy, the province of Quebec (QC) has become one of the 20+ regions and cities worldwide to announce a plan to electrify transportation which centers around setting up a ’complete electric battery ecosystem’ by 2050. While this plan poses a new phase of land appropriation and environmental degradation, through extensive mining and the provision of material and energy intensive grids, Quebec purports to distinguish the plan from the critiques based on renewable endowments such as hydroelectricity. My project, therefore, seeks to analyze the underlying narratives and the feasibility of the proposed strategies for a quick transition to a low-carbon economy based on hydroelectric capacity as well as a massive surge in the supply of critical and strategic minerals. To tackle my questions and objectives, I use multiple qualitative and quantitative methodologies. In the quantitative part of the analysis, which concerns my MITACS Global application, I check the metabolic changes that would result from the objectives underlined by the sustainable mobility. It is expected that metabolic analyses would shed light on the current biophysical metabolism of QC sectors under study (hydroelectricity, mining and battery manufacturing sectors).

Voir la description complète du projet
Superviseur du corps professoral :

Peter Brown

Étudiant :

Partenaire :

Central European University

Discipline :

Life Sciences

Secteur :

Sustainability & the Environment; Green/Alternative Energy; Transportation (excluding aerospace)

Université :

McGill University

Programme :

Globalink Research Award

Tarahumara (Rarámuri) Health Project

Blood pressure increases with age in Western societies; however, populations that live as hunter-gatherers and subsistence farmers rarely develop cardiovascular disease and do not have age-related increases in blood pressure. The mechanisms responsible for the maintenance of cardiovascular health with aging are not clear. A mismatch between the conditions that postindustrialized populations inhabit – low levels of physical activity, less daily and seasonal thermal stress and ultra-processed diets – likely drive the increasing blood pressure with age. By examining cardiovascular structure and function, blood volume and fight-or-flight activation in a cohort of rural Tarahumara subsistence farmers, recently urbanized Tarahumara in Chihuahua and Mestizo in Chihuahua, we will test the hypothesis that the urban populations, but not the Tarahumara subsistence farmers, will present increased arterial stiffness, reduced plasma volume and increased fight-or-flight activation with aging. This will help us to identify the underlying processes leading to high blood pressure in postindustrialized populations and direct avenues of future research to promote healthy aging.

Voir la description complète du projet
Superviseur du corps professoral :

Robert Shave

Étudiant :

Partenaire :

Universidad Autónoma de Chihuahua

Discipline :

Life Sciences

Secteur :

Health and Related Sciences & Technology

Université :

The University of British Columbia - Okanagan

Programme :

Globalink Research Award

Digital Twin of a Rotating Machine: Model Order Reduction and Artificial Intelligence for Hydroelectricity Production

Hydroelectric power units are more solicited today than in the past when they were usually operated at baseload. Because of this, their operating conditions include many starts and stops, and partial load conditions, resulting in premature and unpredictable failures. With a digital twin, these units can be properly monitored and accurately modeled in order to schedule maintenance and optimize usage to minimize wear.
The aim of my project is to create a digital twin for a vertical axis rotating machine (VARM) with similar dynamical properties to those of the hydroelectric turbine-alternator shaft line. This will be accomplished by building the experimental setup and developing the mathematical reduced-order model of the VARM using Proper Generalized Decomposition. We see the significance of this project in the fact that it will serve as a proof of concept, enabling companies and developers to overcome the same challenges required to develop digital twins for real industrial equipment using sensor data and physical modeling.

Voir la description complète du projet
Superviseur du corps professoral :

Frederick Gosselin

Étudiant :

Partenaire :

Arts et Métiers Sciences et Technologies

Discipline :

Engineering

Secteur :

Advanced Computing; Artificial Intelligence; Green/Alternative Energy

Université :

Polytechnique Montréal

Programme :

Globalink Research Award

Attractivité globale et innovation collaborative. Reconfigurer les capacités stratégiques d’un territoire en contexte de rupture

Dans un contexte de forte concurrence touristique, les destinations cherchent à se démarquer les unes des autres.
Pour faire face au défi de rendre leur territoire plus attractif, les acteurs touristiques, politiques, économiques,
géographiques, sociaux et culturels du milieu s’unissent pour concevoir une approche commune et partagée du
développement territorial. Dans l’objectif de réussir leur démarche d’attractivité, des territoires développent donc
des pratiques innovantes de développement et de marketing territorial pour créer de la valeur, et dont les impacts
peuvent se répercuter sur la diminution des coûts, l’amélioration de la notoriété, le développement d’un marché,
etc. Par conséquent, cette étude souhaite analyser les bonnes pratiques existantes en matière d’attractivité de
territoire, en l’occurrence, celui de l’Abitibi-Témiscamingue dans l’objectif que la région développe sa propre
stratégie pour devenir un territoire plus performant et attractif.

Voir la description complète du projet
Superviseur du corps professoral :

Mohamed Reda Khomsi

Étudiant :

Partenaire :

Association touristique régionale Abitibi-Témiscamingue

Discipline :

Sociology

Secteur :

Arts, entertainment and recreation; Professional, scientific and technical services

Université :

Université du Québec à Montréal

Programme :

Accelerate

Designing high entropy perovskites for sustainable ammonia synthesis using advanced computational techniques and artificial intelligence

Ammonia is the second most-produced chemical globally, most of which is used in the fertilizers industry. Currently, it is synthesized via the Haber-Bosch process operated at high temperature and pressure using a Fe-based catalyst, which contributes to the generation of 420 million tons of CO2 per year. Therefore, researchers worldwide are currently looking for inexpensive and efficient catalyst for sustainable ammonia production. Perovskites have been studied as effective, low-cost substitutes to expensive noble-metals-based catalysts. Different compositions of transition metals can be used in a perovskite material, making their physical and chemical properties highly flexible and providing a vast searching space for the potential High Entropy Perovskite (HEP) catalysts. This large area of study can benefit a lot from Machine Learning techniques. Until today, there have been only a few studies that analyzed perovskite-type oxides for electrocatalytic Nitrogen Reduction Reaction (NRR), which is one of the rate limiting steps of the ammonia synthesis reaction. The proposed project aims to expedite this research by using artificial intelligence and advanced computational chemistry techniques. We plan to investigate various compositions of HEPs, and manipulate them based on the expected physical and chemical properties of an ideal sustainable ammonia synthesis catalysts.

Voir la description complète du projet
Superviseur du corps professoral :

Kulbir Ghuman

Étudiant :

Partenaire :

Forschungszentrum Jülich

Discipline :

Physics

Secteur :

Green/Alternative Energy; Advanced Computing; Artificial Intelligence

Université :

Université du Québec : Institut national de la recherche scientifique

Programme :

Globalink Research Award

Metal mobility during carbon mineralization

Sequestration of atmospheric and industrial CO2 through carbonation of reactive waste minerals is a proven method for curbing emissions from the mining sector. Carbonation technologies have also been shown to be effective at reducing potentially toxic metal mobility in alkaline mine wastes. However, the molecular scale mechanisms of metal cycling associated with mineral transformation reactions during carbonation of mine tailings have been poorly constrained. Therefore, we aim to study the mobility of metals (e.g., Li, Fe, Ni) during accelerated carbonation of critical mineral phases {e.g., amorphous Ca-Mg carbonate, brucite [Mg(OH)2]}. To achieve this, the two interns, Avni Patel and Colton Vessey, will conduct experiments at the CNRS (Toulouse, France) using advanced techniques and methods (i.e., ?7Li and ?57Fe isotope analysis, and in situ Raman spectroscopy). This research will assist in understanding metal mobility within mine wastes and natural systems, and will support continued development of safe carbon capture, utilization, and storage (CCUS) methods.

Voir la description complète du projet
Superviseur du corps professoral :

Siobhan Sasha Wilson;Maija Raudsepp

Étudiant :

Partenaire :

Centre National de la Recherche Scientifique (CNRS)

Discipline :

Earth science

Secteur :

Achieving Net Zero; Environmental Science and Technology; Mining

Université :

University of Alberta

Programme :

Globalink Research Award

Advancing Post-Secondary Opportunity for Autistic Students

Using simplified language understandable to a layperson, provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100-150 words)
The project has been developed in concurrence with the Sinneave Foundation’s aim to improve outcomes in education, employment and housing for autistic youth and adults. Post-secondary educational supports and access have been identified as key areas to develop to support the autistic population in their goals. As part of the project, interns will participate fully in Phases 1-3 of the project to provide the foundation framework and data to forward the project’s aim of inclusively developing and refine ‘on the ground’ strategies and guidelines for post-secondary engagement and support for students with autism.

Voir la description complète du projet
Superviseur du corps professoral :

David Nicholas

Étudiant :

Partenaire :

Sinneave Family Foundation

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

University of Calgary

Programme :

Accelerate

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.