Innovative Projects Realized

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

31133 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Improving the differentiation of fibro-adipogenic progenitor cells into adipocytes for cellular agriculture

Meat mass production is associated with many issues, from animal welfare, antibiotic use, climate change, destruction of ecological systems and wildlife extinction. Cultured meat industry is promising alternative to that, which offers the actual meat (not plant-based) without aforementioned issues. This project aims to contribute to development of cultured fat from a pig-derived stem cell. The fat is needed for texture, flavor and smell of the grilling meat (burger/steak). Partner organization is already working on developing a piece of meat made from pig stem cell, but that piece will consist of exclusively pig muscle cells. Developing fat in addition to the muscle cells will elevate the experience of consuming meat made in the process of cellular agriculture and make the product more desirable to the consumer.

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Faculty Supervisor:

Roman Krawetz

Student:

Partner:

Myo Palate

Discipline:

Life Sciences

Sector:

Manufacturing

University:

University of Calgary

Program:

Accelerate

Evaluation of co-delivery of anti-cancer drugs using a handheld injection device

The goal of this proposal is we aim to develop an injectable drug delivery system for intratumoral delivery of a combination of an AXL-inhibitor and FDA-approved chemotherapy drug (e.g.Dox). AXL inhibitors in combination with chemotherapies that target the DNA of cancer cells is a promising approach for treating cancers. The device is integrable to a transformative technology that uses a catheter-based locoregional approach to deliver bioengineered biomaterial. The provided combinational therapy can induce a more efficient ischemic cell death within the tumor microvasculature coupled with an efficient immunotherapy delivery. We will evaluate the co-treatment of cancer cells with the aforementioned drugs and will systematically test their combinations on different cancer cells and analyze the resultant molecular effects by quantitative cell biology methods.

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Faculty Supervisor:

Mohsen Akbari

Student:

Partner:

Massachusetts Institute of Technology

Discipline:

Engineering

Sector:

Education

University:

University of Victoria

Program:

Globalink Research Award

Stratégies modernes pour synthétiser des liens C-S en chimie en flux continu

Ce projet de collaboration vise à développer de nouveaux procédés à flux continu pour produire des dérivés organothiocyanates. Ces motifs sont importants en chimie organique, notamment dans les principes actifs agrochimiques et pharmaceutiques. L’objectif spécifique du projet est de développer des stratégies durables pour synthétiser des cibles contenant des SCN méta-substitués. Ces avancées scientifiques permettront d’enrichir la boîte à outils du chimiste avec des méthodes de synthèse d’organothiocyanates utilisant des technologies modernes, tout en offrant une formation diversifiée à l’étudiant. En outre, de nouvelles perspectives en matière de catalyse homogène et de flux continu seront développées, ce qui est intéressant pour de nombreuses industries.

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Faculty Supervisor:

Hélène Lebel

Student:

Partner:

Université de Rouen Normandie

Discipline:

Life Sciences

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Knowledge translation tools to promote health behaviour change

Canada is a multi-cultural nation that welcomes immigrants from around the world, many of whom present a high prevalence of chronic medical conditions and its risk factors. To minimize this burden, it is essential that individuals at risk of such diseases are connected to evidence-based health information. Therefore, there is a need for strategies that align scientific knowledge
with health care practice in terms of chronic disease prevention in minority groups. Accordingly, this project aims to create knowledge translation tools to be used in a Canadian chronic disease prevention intervention adapted to Brazilians living in Canada, with an emphasis on health behaviour change. This initiative follows a research priority recently established by the World Health Organization, i.e., the development of health behaviour interventions with individuals from low- and middle-income countries to compare the outcomes with research conducted with populations from high-income countries.

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Faculty Supervisor:

Shannon Bredin

Student:

Partner:

Health and Fitness Society of British Columbia

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Reducing homelessness using direct cash transfers (expansion project)

The goal of this project is to examine the effect of one-time unconditional direct cash-transfer to recently homeless individuals in Vancouver, BC, Canada. Building on promising results from our research team’s ground-breaking pilot randomized controlled trial (RCT) with 50 cash recipients, the current project seeks to confirm this preliminary evidence using a larger RCT with 200 cash recipients. To evaluate the impact of the cash transfers over time, participants will complete surveys before receiving the cash, and 1, 2, 3, 6, 9, and 12 months after the cash transfer. At each timepoint, participants will report on outcomes related to housing, employment, subjective wellbeing, health, and cognitive function. The results will provide the most robust and comprehensive evidence of the impact of cash transfers as a tool to address poverty to date.

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Faculty Supervisor:

Jiaying Zhao

Student:

Partner:

Foundations for Social Change

Discipline:

Mathematics

Sector:

Other services (except public administration)

University:

The University of British Columbia

Program:

Accelerate

Towards a Deep Multimodal Similarity Learning for Text and Image Embeddings Fusion

Turquoise Technology Solutions Inc. (“Turquoise”) is a Google Partner firm based in Montreal. They have been working on recommender systems for books and recipes. They are currently interested in improving the accuracy of their recommender systems. In order to improve such a system, the goal is to extract the model of customers’ preferences using both visual and textual interactions via processing the images of a product and texts left as comments respectively. This proposal concentrates on developing an image feature extraction using a deep convolutional autoencoder architecture with an intention to interface with a textual data. Using the image embedding vectors outputted by the network, a search method based on the K-nearest neighbor algorithm is proposed to calculate the similarity between an input image. Upon the performance of the model in measuring the image similarity, the search method can find the similarity through a fusion space obtained from the concatenated textual and image embeddings.

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Faculty Supervisor:

Javad Dargahi

Student:

Partner:

Turquoise Technology Solutions Inc

Discipline:

Engineering

Sector:

Artificial Intelligence; Technology; Commercial Services

University:

Concordia University

Program:

Accelerate

Développement d’une stratégie de structuration de production et commercialisation à grande échelle d’une solution médicale de cellule cyberphysique autonome

Baüne désire concrétiser un premier cellule cyberphysique autonome permettant de proposer pour les soins médicaux à distance. Ce produit est un module connecté de surveillance médicale et se présente comme un espace adaptable grandeur nature avec des panneaux motorisés permettant l‘intégration de multiples capteurs de santé des patients.

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Faculty Supervisor:

Fabiano Armellini

Student:

Partner:

Baüne

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Business Strategy Internship

Modèle de réserves stochastiques incorporant le jugement actuariell

L’utilisation de modèles statistiques pour décrire l’évolution du passif des polices est très recherché par l’industrie de l’assurance dommage, alors qu’il pose des problèmes théoriques extrêmement pertinents pour la science actuarielle. La dépendance entre les lignes d’affaires est un concept connu mais très complexe à quantifier. Une meilleure compréhension de cette dépendance par l’entreprise est cruciale. De plus, le fait de pouvoir incorporer le jugement actuariel aux modèles statistiques représente une extension naturelle aux méthodes classiques couramment utilisées dans l’industrie. Le modèle de réserves stochastiques incorporant le jugement actuariel adresse les défis mentionnés.

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Faculty Supervisor:

Helene Cossette

Student:

Partner:

Co-operators (General Insurance)

Discipline:

Mathematics

Sector:

Finance and Insurance

University:

Université Laval

Program:

Accelerate

The plasma metabolomics footprint of dairy products: a reflection of consumption and a window to their cardiometabolic effects.

The general objective of this project is to identify unbiased and objective plasma metabolomics signatures of milk and cheese consumption. We will leverage data and stored, unthawed, plasma samples from 4 high quality randomized, crossover, feeding trials (RCTs) and 1 cohort of 200 free-living adults (eMECA) that were conducted or implemented at INAF research center over the past 15 years. The 4 RCTs investigated the impact of reduced fat milk (1% milk-fat) and/or regular-fat cheddar cheese (31% milk-fat) consumption on cardiometabolic health in a total of 185 adults with abdominal obesity. Therefore, the proposed project builds on a biobank that is second to none worldwide and that was created through nearly $3 million CAD of DFC investments in RCTs and human nutrition research over the past 15 years. The study will outcome on a unique demonstration of the ‘impact’ of milk and cheese consumption on cardiometabolic health, at the system level, providing novel insights on their health effects. By extension, the study will also outcome on a novel perspective on the impact of dairy fat consumption on cardiometabolic health as we will be able to compare the impact of reduced-fat milk with regular-fat cheese.

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Faculty Supervisor:

Jean-Philippe Drouin-Chartier

Student:

Partner:

Dairy Farmers of Canada

Discipline:

Life Sciences

Sector:

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

University:

Université Laval

Program:

Accelerate

Fairness Attacks on Large Language Models

Under the European General Data Protection Regulation (GDPR), businesses using customer data to make decisions must provide explanations in human terms on demand to the customer to explain their decision. The rise of natural language generation (NLG) and chain-of-thoughts (CoT) represents an opportunity to combine the power of deep learning, automated decision-making, and explainable AI. However, there are two important challenges standing in the way of making these systems useful. The first one is to align the AI system with human preferences in terms of decisions and explanations. The second one is to make the AI systems fair and robust to adversarial attacks. The aim of this project is to investigate the robustness of large language models (LLMs) to changes that should not affect their decisions, like meaningless textual reformulations, and changes to sensible information such as sex and race.

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Faculty Supervisor:

Quentin Cappart;Louis-Martin Rousseau

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Transportation (excluding aerospace); Technology; Information and Communications Technology

University:

Polytechnique Montréal

Program:

Accelerate

HIVE Geospatial product/platform development

HIVE Geospatial’s mission is to enrich decision-making and facilitate more inclusive and equitable terrestrial and marine management through our proactive planning and collaboration software platform and services. Additional details are available at hivegeospatial.app. The Mitacs-supported internships will contribute to the continued evolution and improvement of the HIVE Geospatial platform, and allow us to address new requirements for existing customers and address new market segments in parallel with our business development efforts.

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Faculty Supervisor:

Edward Brown

Student:

Partner:

HIVE Geospatial Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Business Strategy Internship

Multi-sensor data streams from PLC to cloud computing platform

Instrumar Limited’s core technology platform is based on the measurement of electrical properties of materials that come in contact with its sensor. The sensor generates a tightly confined electromagnetic field that detects the properties as material enters this field. The sensor is sensitive to the amount, the shape, its density, temperature, conductivity, impurities, moisture content and flow speed of the material. The sensors sample data in real time and provide feedback based on parameters that are determined through extensive testing. This sensor is being used in multiple industries such as aerospace and industrial manufacturing. Two of our more successful applications are in the ice detection and polymer fiber manufacturing. Instrumar receives terabytes of data from its installations worldwide. It is one of our goals to turn this unprocessed high volume data into value added information
Using the latest analytical tools has identified many areas where we can use additional data from a variety of sensors to improve our ability to provide valuable information into quality and other problems that occur at customer facilities.
Instrumar is also now competing with other companies who can pull in data from other sensors and be able to provide intelligent information to the customer.
Building this new platform will allow us to compete and grow beyond being a sensor only company who can partner with these manufacturing companies in a more fulfilling manner. It can give us a competitive edge in the market.

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Faculty Supervisor:

Vinicius Prado da Fonseca

Student:

Partner:

Instrumar

Discipline:

Engineering

Sector:

Manufacturing

University:

Memorial University of Newfoundland

Program:

Business Strategy Internship

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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.