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

Design of an integrated human resource platform

This innovative product is unique as it would enclose all business functions into one Customer Relationship Management (CRM) system, enabling companies to use NetSuite for their one stop shop as a 360 system. It will allow integration of an accounting system with the ATS, a functionality not available with the other systems. The intern’s primary goal will be to research about competitors and gather feedback to make ATS a better product for the users. This will create the foundation for future product innovation, and allow the company to access new markets.

Voir la description complète du projet
Superviseur du corps professoral :

Ning Su

Étudiant :

Partenaire :

NetDynamic Consulting Inc.

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

The University of Western Ontario

Programme :

Business Strategy Internship

Solutions de distribution pour un réseau d’entreprises agroalimentaires de l’Île d’Orléans

L’Île d’Orléans a une industrie agroalimentaire et agrotouristique très forte. Plusieurs produits locaux sont valorisés et transformés sur place créant un potentiel économique encore plus grand. L’engouement envers l’achat local et la souveraineté alimentaire lié à la pandémie de la COVID a d’ailleurs augmenté l’attrait de l’industrie agroalimentaire de l’Île. La MRC a identifié le transport et la distribution de produits transformés comme le facteur le plus limitant au développement de cette industrie. Le projet propose ainsi différents niveaux de solutions pour répondre à ces défis avec un esprit d’écoresponsabilité. Ces solutions seront mises en place et optimisées avec une approche de laboratoire vivant qui permettra une implémentation rapide et une optimisation avec des données réelles. Cette étude pourra ainsi maximiser le plan de relance économique de l’île tout en leur permettant de minimiser l’impact environnemental de leur expansion.

Voir la description complète du projet
Superviseur du corps professoral :

Julien Lépine;Jacques Renaud

Étudiant :

Partenaire :

MRC de l’Île-d’Orléan

Discipline :

Business

Secteur :

Public administration

Université :

Université Laval

Programme :

Accelerate

E-Journalism and Social Media for the Arctic Research Foundation (ARF)

This research project proposes to identify and develop successful ways of engaging Arctic voices and community with the Arctic Research Foundation’s (ARF) digital communications platforms. The platforms will promote community understanding of ARF’s mission and may inform the Foundation of potential sites of intervention and innovation. The intern will cultivate community relations while seeking new and interactive strategies of story-sharing that draw attention to the diverse life of the Arctic. The intern will also improve and expand the growth of a non-Northern audience. Given the mandate of ARF to focus on the Northern environment, this is a critical moment to reach a wider Canadian audience and extend current understandings concerning climate impacts on Arctic Indigenous peoples, Northern communities, and the Arctic environment. In sum, the challenge of the internship is to raise the profile of ARF as a non-profit organization by cultivating a strong digital life.

Voir la description complète du projet
Superviseur du corps professoral :

Jacqueline McLeod Rogers

Étudiant :

Partenaire :

Arctic Research Foundation

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

University of Winnipeg

Programme :

Accelerate

Pattern Extraction in Social Networks Using Formal Concept Analysis

In recent years, with the emergence of online social networks and the growing interest in genetics and biological networks, the research community has been tasked with analyzing knowledge extracted from multi-relational datasets. Such analysis, generally known as Knowledge Discovery in Databases (KDD), is concerned with the computer aided discovery of useful knowledge in databases. An example of the extracted knowledge would be user interest data which improves the accuracy on viewing and predicting market trends, and allows for enriched customization and customer targeting. In this research we are interested in techniques for analyzing multi-relational datasets. Formal Concept Analysis (FCA), a powerful pattern extraction technique, has been used successfully for analyzing non-relational entities. But with the introduction of Relational Concept Analysis (RCA), an extension of FCA, it is possible to apply it on multi-relational datasets. Our goal is to transform the robust FCA based data mining techniques for non-relational datasets, into techniques applicable on multi-relational databases with the use of RCA. We plan to apply these techniques on heterogeneous social networks as a test-bed for multi-relational datasets

Voir la description complète du projet
Superviseur du corps professoral :

Morad Benyoucef

Étudiant :

Partenaire :

IBM Canada Ltd

Discipline :

Computer science

Secteur :

Information and cultural industries; Manufacturing; Professional, scientific and technical services

Université :

University of Ottawa

Programme :

Accelerate

Cold Plasma Degradation of Aflatoxin M1 While Maintaining Milk Quality

Aflatoxins (AFB1, AFB2, AFG1, AFG2) are poisonous mycotoxins that are produced by two common molds, Aspergillus flavus and Aspergillus parasiticus, in cereal grains and maize. When dairy cows ingest AFB1 toxin through contaminated feed, it is metabolized into carcinogenic AFM1 toxin, and it is transferred in milk. AFM1 contamination of milk poses a significant health risk to consumers, especially in developing countries where AFM1 contamination levels can be 10 to 100 times higher than the Canadian regulations, 0.5 ppb. Current methods of milk processing such as Ultra High Temperature (UHT) heat treatment for pasteurization are unable to reduce AFM1. A promising new approach to degrade AFM1 toxin in milk is high voltage atmospheric cold plasma (HVACP). The goal of this research will be to determine the effect of HVCAP treatment on AFM1 contamination in skim and whole milk as well as the degradation products of AFM1 and their molecular formulas. The degradation products and their chemical formulas will be elucidated using liquid-chromatography time-of-flight mass spectrometry (HPLC?TOF-MS). The structures of the reaction products will be further investigated using orbitrap mass spectrometry.

Voir la description complète du projet
Superviseur du corps professoral :

Kevin Keener

Étudiant :

Partenaire :

Westfälische Wilhelms-Universität Münster

Discipline :

Engineering

Secteur :

Agriculture and Food; Health and Related Sciences & Technology; Technology

Université :

University of Guelph

Programme :

Globalink Research Award

Genesis of magmatic PGE-Cu-Ni sulfide mineralization in the Parisien Lake area, East Bull Lake intrusion, Ontario

Palladium and other precious metals found within the East Bull Lake Intrusions have been identified by the Geological Survey of Canada as Critical Metals that are vital to future of humanity and our dominance as a global mining powerhouse. This proposed research will provide internship training on the geological conditions of Palladium concentration in the Earth crust and provide the Sudbury area with a minable natural resource that is more sustainable than current, high sulfur ores. This proposed research will give GRID Metals Corp access to one of Canada’s best isotopic research labs, providing the tools necessary to answer fundamental questions about the source and origins of palladium in the Parisien Lake are of the East Bull Lake Intrusions.

Voir la description complète du projet
Superviseur du corps professoral :

Daniel Layton-Matthews

Étudiant :

Partenaire :

Grid Metals

Discipline :

Earth science

Secteur :

Mining

Université :

Queen's University

Programme :

Accelerate

Construction Project and Processes Intelligence Across the Project Lifecycle

This project is a partnership between Concordia University and Aedo AI, to upgrade an existing construction project data repository into an intelligent platform for analyzing project performance and providing advanced analytics based on (i) correlations between projects’ different facets (including actors involved, the facility being built, and workflow processes being executed); and (ii) interactions among different phases of the project (such as planning, construction, commissioning and operation). Components of Artificial Intelligence including ontology engineering; process mining and data mining will be employed to take the existing Aedo platform to the next level by introducing intelligence in two parallel streams; i.e., creating a semantic foundation (top-down intelligence); and incorporating advanced data mining (bottom-up intelligence) to discover and analyze end-to-end business processes. The resulted platform will help construction companies better interpret their performance and make data-driven decisions based on the analytics of their previous projects.

Voir la description complète du projet
Superviseur du corps professoral :

Mazdak Nik-Bakht;Mohamed Ouf

Étudiant :

Partenaire :

Aedo AI Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Concordia University

Programme :

Accelerate

Building a Mobile Application to identify Improve Searching for Living Arrangements

This research seeks to inform the development of, and fully test and develop a mobile application designed to improve the process in which students’ find accommodation and roommates. I will develop wireframes and ask users to provide feedback on how to improve the platform. Then I will take the information collected to develop a prototype that can successfully match students based on preferences to help them in selecting a roommate.

Voir la description complète du projet
Superviseur du corps professoral :

Michael LeBlanc;Steven Smith

Étudiant :

Partenaire :

Cohability Inc

Discipline :

Sociology

Secteur :

Information and Communications Technology; Life Sciences (not health); Commercial Services

Université :

Nova Scotia College of Art & Design University

Programme :

Accelerate

Modélisation d’un système de tutorat intelligent pour une formation grand public

Les Éditions Protégez-Vous souhaitent innover dans la diffusion numérique de leurs guides afin d’accompagner les consommateurs en leur offrant un coaching virtuel. Pour certains guides, comme le guide Succession qui contient une description détaillée des 24 étapes d’une liquidation, cette diffusion deviendrait une formation autonome avec un suivi personnalisé requérant des interventions humaines seulement en cas de blocage ou d’accès à une information particulière. Le modèle d’outil numérique proposé sera basé sur le principe des systèmes tuteurs intelligents, conçus pour accompagner l’utilisateur dans son cheminement face à une tâche particulière, comme le ferait un tuteur humain. L’emphase sera mise sur la transformation du contenu du guide en un format interopérable par l’outil numérique ainsi que sur l’accompagnement personnalisé par des techniques d’analyse de données. Considérant les visées environnementales de Protégez-Vous, une attention particulière sera portée à la réduction de l’impact de l’outil numérique sur l’environnement.

Voir la description complète du projet
Superviseur du corps professoral :

Laurence Capus

Étudiant :

Partenaire :

Les Éditions Protégez-Vous

Discipline :

Computer science

Secteur :

Information and cultural industries

Université :

Université Laval

Programme :

Accelerate

A Compact Attenuated Total Internal Reflection Stage for Rapid Materials Testing

Light is a powerful sensing tool that humans are very familiar with. We are, however, only sensitive to a visible light. Much more can be learned from other types of light. Terahertz light is very low energy light that allows very sensitive non-invasive measurements to be made on many types of samples including biological and polymers. This makes it a compelling tool and currently there is exponential growth in Terahertz light technologies. Despite the interest, terahertz light remains a challenge to work with and new innovations are needed to keep driving the technology forward to reach its full potential. We propose a new sensor design that allows faster, better, and easier terahertz light measurements to be made with any existing terahertz system. In this project we will develop a refined prototype and explore the commercial viability of this prototype through the Lab2Market program.

Voir la description complète du projet
Superviseur du corps professoral :

Jacob Burgess

Étudiant :

Partenaire :

North Forge

Discipline :

Physics

Secteur :

Education; Management of companies and enterprises; Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate

Distributed Fault-tolerant Drone Network Design

Unmanned Aerial Vehicles (UAV) or drones have numerous applications in different industries. However, drones have limitations such as short flight time, limited flight range, and navigational inaccuracy in regions with unreliable GPS signal. To mitigate these limitations, using a group of drones to cooperatively perform the mission is proposed. The resulting parallel operation increases the efficiency and reduces the operational time. In addition, we propose a cooperative localization to navigate the group of UAVs as a back-up for GPS navigation. The first step to design such a swarm is to model the dynamics and coordination structure of the drones’ network, which is the subject of this research. The model is enhanced with fault-tolerant navigation data. The connectivity architecture of the network will also be studied for better tolerance in link-loss conditions. This project is a critical step toward our business objective, which is providing services like search and rescue and monitoring services in the northern regions of Canada.

Voir la description complète du projet
Superviseur du corps professoral :

Philip Ferguson

Étudiant :

Partenaire :

North Forge

Discipline :

Engineering

Secteur :

Education; Management of companies and enterprises; Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate

Assisting newcomers affected by Covid19 through music therapy and breathwork

We will be working closely with people experiencing Covid19 symptoms that linger beyond weeks or months after getting sick, or those struggling with their mental health, especially if they are a part of the immigrant/refugee (newcomer) population in Alberta. We will be creating a virtual platform to do some music therapy and breathing exercises to improve our mental health and to focus on our overall wellbeing. We will work together and seeking feedback from our participants. This way, we can help other immigrants get access to appropriate mental health services, especially during major public health events such as the COVID pandemic.

Voir la description complète du projet
Superviseur du corps professoral :

Lisa Young

Étudiant :

Partenaire :

The Healing Centred Cooperative

Discipline :

Sociology

Secteur :

Health and Related Sciences & Technology

Université :

University of Calgary

Programme :

Accelerate

Précédent
1...1,5691,5701,5711,5721,5731,5741,575...2,595
Suivant

Joignez-vous à un écosystème d’innovation florissant.

Abonnez-vous à notre infolettre dès maintenant!

S’inscrire

Mitacs — Retour sur innovation

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.