Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

29670 Completed Projects

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4990
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801
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663
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825
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8841
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9197
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95
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568
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1088
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Projects by Category

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.

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Faculty Supervisor:

Julien Lépine;Jacques Renaud

Student:

Partner:

MRC de l’Île-d’Orléan

Discipline:

Business

Sector:

Public administration

University:

Université Laval

Program:

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.

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Faculty Supervisor:

Jacqueline McLeod Rogers

Student:

Partner:

Arctic Research Foundation

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

University of Winnipeg

Program:

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

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Faculty Supervisor:

Morad Benyoucef

Student:

Partner:

IBM Canada Ltd

Discipline:

Computer science

Sector:

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

University:

University of Ottawa

Program:

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.

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Faculty Supervisor:

Kevin Keener

Student:

Partner:

Westfälische Wilhelms-Universität Münster

Discipline:

Engineering

Sector:

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

University:

University of Guelph

Program:

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.

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Faculty Supervisor:

Daniel Layton-Matthews

Student:

Partner:

Grid Metals

Discipline:

Earth science

Sector:

Mining

University:

Queen's University

Program:

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.

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Faculty Supervisor:

Mazdak Nik-Bakht;Mohamed Ouf

Student:

Partner:

Aedo AI Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

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.

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Faculty Supervisor:

Michael LeBlanc;Steven Smith

Student:

Partner:

Cohability Inc

Discipline:

Sociology

Sector:

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

University:

Nova Scotia College of Art & Design University

Program:

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.

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Faculty Supervisor:

Laurence Capus

Student:

Partner:

Les Éditions Protégez-Vous

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Université Laval

Program:

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.

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Faculty Supervisor:

Jacob Burgess

Student:

Partner:

North Forge

Discipline:

Physics

Sector:

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

University:

University of Manitoba

Program:

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.

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Faculty Supervisor:

Philip Ferguson

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

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

University:

University of Manitoba

Program:

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.

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Faculty Supervisor:

Lisa Young

Student:

Partner:

The Healing Centred Cooperative

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology

University:

University of Calgary

Program:

Accelerate

Subsea Pipeline Risk-based Integrity Assessment

The first objective of this internship is testing and validation of recently customised RISKWISE software for subsea pipeline application using a case study. Second objective is to develop a user manual for the software for future reference. Testing and validation of the software would help provide reliability and confidence in the tool usage that will help in decision making regarding optimal inspection and maintenance planning for risk mitigation. Also, this study assesses the overall risk to pipeline operation based on observed damage mechanisms and recommends mitigating actions to be carried out to minimise risk over life cycle. The proposed research and development would aid in pipeline risk mitigation through optimal inspection and maintenance planning. Probabilistic models for damage mechanisms and consequences reduces data uncertainty and hence, operational risk to pipeline life. Furthermore, the study would identify limitations of the tool and potential areas for improvement. Having such a tool will be a benefit for offshore oil and gas operators.

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Faculty Supervisor:

Faisal Khan

Student:

Partner:

INTECSEA;Petroleum Research Newfoundland & Labrador

Discipline:

Engineering

Sector:

Mining

University:

Memorial University of Newfoundland

Program:

Accelerate

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