Innovative Projects Realized

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

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
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98
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619
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1192
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Projects by Category

Système d’aide à la décision pour le ciblage des populations pauvres et vulnérables

Dans les pays en voie de développement, des enquêtes sont utilisées pour mesurer le niveau de pauvreté des ménages. Pour étendre cette information à l’ensemble de la population, il est nécessaire de prédire la pauvreté des ménages à partir des enquêtes et d’imputer cette prédiction à chaque ménage du recensement. L’utilisation de ces données permet aux gouvernements et aux agences d’aide au développement de mieux cibler les populations les plus pauvres. Les outils de ciblage sont d’une importance capitale pour améliorer le ratio bénéfices/coûts des interventions. Afin d’améliorer les outils disponibles pour le ciblage des populations pauvres et vulnérable, l’objectif de ce projet de recherche sera de rendre disponible à partir d’une plateforme web les indicateurs estimés à partir des mégadonnées (enquêtes et recensement des populations) et les modèles prédictifs afin d’aider à la prise de décision dans un contexte d’aide au développement. La création d’un système d’aide à la décision, et plus particulièrement un tableau de bord analytique permettra de proposer des analyses du ciblage des interventions sur des groupes spécifiques définis selon leurs caractéristiques ou selon leur localisation géographique.

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Faculty Supervisor:

Mickael Germain;Yacine Bouroubi

Student:

Partner:

Apexmachina Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Fabrication of HTV-SR/ATH/DE/FS Nanocomposites Emerging Damage-tolerant Volumetric Superhydrophobicity Followed by Assessment of the Icephobic, Self-cleaning, Thermal, and Electrical Properties for Application to High-voltage Insulator

Given the detrimental effect of the ice and pollution accumulation on the high-voltage insulators, fabrication of superhydrophobic surfaces having icephobic and self-cleaning is highly demanded. Superhydrophobic surfaces possessing low surface energy materials with favorable surface roughness have attracted tremendous attentions in both science and technology. However, lack of favorable mechanical durability of such appealing materials has confined their mass production and commercialization. Since the conventional insulators are getting replaced by the polymeric ones, specifically silicone rubber having low surface energy, this project aims to develop a damage-tolerant superhydrophobic silicone rubber nanocomposite possessing icephobic/self-cleaning properties capable to be utilized for high-voltage insulator application. In this regard, three different micro and nanoscale particles will be used to not only create volumetric superhydrophobic nanocomposite but enhance icephobic, self-cleaning, thermal, and electrical properties of silicone rubber. The optimized combination of these particles will bring about the hierarchical roughness required for superhydrophobicity as well as the flame retardancy, tracking, and erosion resistance of the nanocomposites.

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Faculty Supervisor:

Gelareh Momen;Reza Jafari

Student:

Partner:

K-Line Insulators Limited

Discipline:

Engineering

Sector:

Manufacturing

University:

Université du Québec à Chicoutimi

Program:

Accelerate

Le processus de transfert des données lors du livrable des actifs bâtis: comment les outils technologiques répondent aux demandes du client dans le contexte des normes en vigueur.

Ce projet tentera d’observer la mise en application des normes de gestion des données du bâtiment (ISO19650) lors du transfert des livrables numériques d’un actif. Le contexte de cette étude de cas suivra le transfert des données provenant d’une équipe de conception/construction et allant vers une équipe d’opération et de maintien des actifs. L’efficacité de la plateforme de gestion des données utilisée (Dalux Handover) dans le cadre de cette étude de cas sera évaluée en fonction de sa capacité à transmettre et utiliser les données requises par le client. L’hypothèse proposée suggère qu’il sera possible d’optimiser les exigences de données numériques formulées par le donneur d’ouvrage en vue de leur utilisation avec la plateforme de gestion de données.

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Faculty Supervisor:

Ali Motamedi;Érik Poirier

Student:

Partner:

BIM Québec

Discipline:

Engineering

Sector:

Other services (except public administration); Real estate and rental and leasing

University:

École de technologie supérieure

Program:

Accelerate

Climate-related Disclosure Best Practices

Mantle314 is developing a software platform (Manifest) that will help companies to learn, assess, manage and disclose climate-related risks and opportunities. Mantle314 is currently working on minimum viable product (MVP) experience which will be the first step toward automating an end-to-end climate change-related planning and disclosure process. This first experience will help a company to assess its own disclosure against climate leaders and peers, and create TCFD-aligned outputs for internal and external communications and reporting.
To understand the current state of play of what good climate-related disclosure looks like, as part of this project, interns will be reviewing climate content from a sample of companies using the Mantle Assessment methodology to research sector specific practices as it concerns TCFD Recommendation implementation and climate actions. The aim is to find climate leaders and define best practices for each sector. This research and its content will be used in MVP for benchmarking and showcasing best practice.

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Faculty Supervisor:

Olaf Weber;Jason Thistlethwaite

Student:

Partner:

Mantle314

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program:

Accelerate

Développement d’un contrôleur de batterie lithium-ion

Le besoin de développement d’un tel contrôleur est motivé par la disponibilité grandissante de bloc-batteries lithium-ion récupérés de véhicules électriques accidentés ou ceux dont la pile arrive en fin de vie utile.
Chaque type de cellule lithium-ion comporte des caractéristiques de charge et décharge qui doivent être étroitement surveillées pour éviter d’endommager la cellule et même provoquer un l’incendie ou l’explosion de celle-ci.
Le contrôleur, en plus de surveiller la charge et la décharge, doit également assurer le balancement des cellules, c-a-d le maintien de chacune des cellules au même niveau detension, pour permettre l’utilisation maximale de l’énergie contenue dans le bloc-batteries.
Finalement le projet va permettre à l’organisme partenaire de pouvoir fabriquer l’ensemble du système de gestion de batterie lithium-ion, lui permettant de s’affranchir de composants existants mal adaptés a ses besoins et où une possible rupture de l’approvisionnement engendrerait un arrêt de production de l’ensemble des systèmes.

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Faculty Supervisor:

Loïc Boulon

Student:

Partner:

Simon André Inc

Discipline:

Engineering

Sector:

Retail trade

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Improving Conditional Text Generation Algorithms

The aim of this project is to survey and develop methods for improving text generation algorithms. Natural Language Generation (NLG) is a subfield of Deep Learning that studies how to enable computers to write coherent texts. Current methods lack the capacity to adapt the content they generate, producing articles that are not always coherent nor factually correct. We will study ways of conditioning the algorithms to create more relevant content that adapts to the needs of the writer. The internship will be done in collaboration with MarketMuse, an AI company that specializes in content creation and is looking for new ways to improve their algorithms.

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Faculty Supervisor:

Laurent Charlin

Student:

Partner:

Marketmuse Laboratoire Canada Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

Low Dose Computed Tomography Imaging: Measuring effects of denoising algorithms by means of objective and subjective measurements, and algorithms parameters optimization

In Computed Tomography (CT), X-ray radiation is used to penetrate through the internal structure of
the patient body in order to produce digital images. This means patients could be exposed to certain
level of X-ray radiation dose. Accumulation of these exposures beyond certain threshold could
increase risk offatal cancer. Thus it is of paramount importance to lower the amount of radiation
exposure during CT images acquisition. However, a low radiation dose in CT images would result to
lower image quality. To maintain lower dose usage and still produce images with a high quality, one
needs to develop advanced image processing tools in order to reduce noise and enhance CT images.
This internship will attempt to bring advanced methods of Image processing tools that are specifically
tailored to reduce noise and enhance CT images to the partner ()rganization, measure the effects of
these algorithms on Image quality objectively and subjectively, fine tune parameters of these
algorithms.

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Faculty Supervisor:

M. Stella Atkins

Student:

Partner:

McKesson Canada (Richmond, BC)

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Modèle intelligent de prédiction de pannes à partir de capteurs installés dans un bâtiment

Une institution de Montréal possède un ensemble de bâtiments où sont installés des capteurs de toute sorte générant quotidiennement des milliers de mesures (entre autres vibration, température, pression, ouverture/fermeture de portes). Ce projet, piloté par la compagnie Ai Outcome, vise à mettre en place un modèle automatique de détection qui permettra de prédire les pannes sur les équipements avant que celles-ci ne se produisent. Pour ce faire, le stagiaire appliquera diverses techniques d’intelligence artificielle de détection de données aberrantes sur les mesures existantes pour ensuite comparer les résultats obtenus avec les types d’événements générés par le système. Si Ai Outcome est capable de fournir de telles prévisions, ses clients bénéficieront d’une réduction de leurs coûts et de leurs risques. Le Canada pourrait ainsi devenir un chef de file sur la manière dont la maintenance est effectuée, réduisant ainsi les coûts d’exploitation des infrastructures publiques et privées.

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Faculty Supervisor:

Sylvie Ratté

Student:

Partner:

iA Résultat Inc

Discipline:

Engineering

Sector:

Information and cultural industries

University:

École de technologie supérieure

Program:

Accelerate

Novelty Detection in Lunar Analogue Terrains

Lunar and planetary rovers are faced with a high volume of data from their sensors and cameras, and yet decisions must be made rapidly to prioritize to which crater it should drive up to and of which rock it should take a closer look. In Canada’s intended upcoming exploration of the Lunar surface aboard short-timescale commercial missions, these considerations are of utmost importance. By leveraging recent advances in artificial intelligence (AI), this research will equip rovers with the ability to survey its surroundings and discover which elements of the terrain ahead are novel and potentially interesting to scientists. The rover will then be able to prioritize which data to pass on to the science team or even select its next point of investigation autonomously.

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Faculty Supervisor:

Krzysztof Skonieczny

Student:

Partner:

Mission Control

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Design and Optimization of a New Bio-Inspired Microphone Technology

This research project aims at developing acoustical reference designs and mechanical mounting guidelines for a new type of acoustical flow-sensing velocity microphone designed by a local start-up company. Multi-physics models developed using COMSOL, as well as experimental measurements with specialized acoustical equipment such as acoustic monopoles or airflow source, will be used to characterize the performance of various designs and assemblies. Several MITACS internships with the partner company will give the student hand-on experience with consumer electronic product design and optimization.

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Faculty Supervisor:

Jérémie Voix

Student:

Partner:

Soundskrit

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Developing fluorescent viability stain compounds and uses for anti-cancer drug screening

Breast cancer is the fourth most frequent cancer in Canada, and affects one in X women during their lifetimes. A variety of different treatments have been tried, some of which damage cellular DNA of the quickly growing cancer cells. High-level DNA damage causes cells to die, and can shrink the tumour and arrest cancer growth. The Sabatinos lab studies how cells deal with DNA damage caused by drugs, and how this impacts their ability to grow and divide. A long-time drug used in cancer chemotherapy is a drug called cis-platinum. Our collaborator, Dr. R. Gossage, has generated new compounds that contain platinum, or, other metals such as copper, nickel or palladium. These compounds are predicted to also work for breast cancers, but must be tested in cell cultures. To do this we use a variety of dyes and stains that monitor cell proliferation, cell division, DNA replication, DNA damage and cell death. These tests give data that will inform which of the new metal-containing compounds, or compound families, is most promising at specifically targeting breast cancer cells while persevering non-cancer cells in the body. Koivisto Materials Consulting Inc is our industrial partner.

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Faculty Supervisor:

Sarah Sabatinos;Robert (Rob) Gossage

Student:

Partner:

Koivisto Materials Consulting Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Accelerate

What makes for high performing teams in technology start-ups?

The project will focus on exploring latest academic and expert literature on high performance team management, develop and empirically validate practical insights for executive managers of new companies. The focus will be on: a) distinguishing factors of team success and successful team leadership in tech start-ups; b) the role of HR departments in designing high performing teams; c) key elements of organizational culture in highly performing teams; d) the role of managers in the long-term success of technology startups. The project will adopt an advanced text analytics (topic modeling) method applying content analysis to the identification of specific valuable insights. It will validate the insights by working with real life companies and develop learning modules to be used as part of executive management training programs.

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Faculty Supervisor:

Stoyan Tanev

Student:

Partner:

Frank Technologies Inc

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.