Innovative Projects Realized

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

31620 Completed Projects

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

Are phenolic enrichments along with rewetting a necessary approach towards carbon sequestration, impeding decomposition, and optimized Sphagnum productivity?

Peatlands act as vast carbon (C) reservoirs by regulating decomposition over millennia. Considerable changes due to anthropogenic activities such as peat extraction have shifted long-term C sink to atmospheric C source. Previously, bioengineering tools as rewetting were used to reverse post-extracted peatland hydro-physical properties, and phenolic addition was used on small scale to test the enzymic latch process but ends up with contradictory results. Therefore, we aimed to combine rewetting with phenolic addition on large scale to strengthen enzymic latch and to test how it can suppress enzymes activities, reduce peat decomposition, promote Sphagnum productivity, and limit greenhouse gas emissions. For this, multiple measurements such as carbon flux, decomposition rate, Sphagnum biomass and productivity will be conducted in Quebec, while extracellular enzymes activities will be analyzed in Bangor University, Wales. It is expected that proposed technique will strengthen the enzymic latch and will help to formulate strategies for reducing C emissions in the peatland ecosystem.

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Faculty Supervisor:

Line Rochefort

Student:

Partner:

Bangor University

Discipline:

Life Sciences

Sector:

Education

University:

Université Laval

Program:

Globalink Research Award

From Hammers to Homes: a housing development report for Metro Vancouver

The From Hammers to Homes project seeks to engage one masters student intern for two semesters to work with the partners in order to design a new database and conduct a new annual survey to report on improving the quality and transparency of information on the residential development environment in regional Vancouver’s municipalities. The interns will conduct survey, interview, secondary and case study-based research, consultation across the spectrum of interests in housing policy and development issues in metropolitan Vancouver, and will construct and maintain a unique database. The Greater Vancouver Home Builders Association expects to benefit from this project that will help the hands holding the hammers to build the housing that our region needs, recognizing the vital role of a predictable and accountable municipal policy process, not for developers and municipalties to “hammer” each other with problems, but to move residential development in the direction of the public interest, affordability, innovation and sustainability.

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Faculty Supervisor:

Meg Holden

Student:

Partner:

Greater Vancouver Home Builders’ Association

Discipline:

Earth science

Sector:

Construction and infrastructure; Other services (except public administration)

University:

Simon Fraser University

Program:

Accelerate

A Deep Learning approach to identify and localize room assets using handheld RGB-D sensors

With the availability of low-cost edge devices equipped with color and depth sensors, such as iPhone or iPad, 3D data capturing is becoming more accessible and convenient. Asset managers and building owners seek benefiting from this potential to accurately and automatically create 3D indoor models of buildings. In particular, having 3D indoor models containing objects of interest enables several applications, such as asset inventory and maintenance management. However, the automatic and accurate generation of such 3D models introduced many challenges, and the current methods exposed several limitations. This research project aims to propose and implement a framework, which employs various state-of-the-art computer vision techniques, to overcome the current limitations.

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Faculty Supervisor:

Ali Motamedi;Érik Poirier

Student:

Partner:

Planifika

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Accelerate

Interactions of mesoscale eddies and sea ice

Fundamental questions remain on how polar oceans will respond to climate change and how rapidly changes will occur. Based on observations made from satellite, there is growing evidence that ocean and sea ice interact at scales on the order of a few tens of kilometers, the mesoscale. However, it is not clear how exactly the ocean is shaping the sea ice cover and what is its subsequent impact on sea ice melt. This project makes use of numerical simulations of the ocean and its sea ice cover. With the help of these simulations, which aim at representing approximately the Southern Ocean, the direct and indirect effects of the mesoscale on sea ice in areas of high sea ice concentrations will be investigated. These impacts could be mechanical, induced by the motions of sea ice and water, or thermodynamical, driven by the heat stored in the ocean. Several simulations will be analyzed to account for different oceanic and atmospheric conditions in order to improve our understanding of the mesoscale’s influence on sea ice in a changing climate.

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Faculty Supervisor:

Carolina Dufour

Student:

Partner:

California Institute of Technology

Discipline:

Earth science

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Acquisition of an aviation safety taxonomy from incident reports and its evaluation

Ontology induction from unstructured text is a long standing goal of Natural Language Processing (NLP). An ontology can serve a number of tasks, such as question answering, Information Retrieval to name a few. In fact, practice communities are often relying on an ontology in their daily decision making process. This is the case of IATA, the partner in this proposal, which currently manually labels aviation incident reports into nodes of an in-house ontology. This time-consuming task is typically conducted by experts. One problem with relying with an ontology is the ontology itself which should evolve over time (e.g., new types of incidents) and is often fraud with inconsistencies. The ontology at IATA is no exception and the goal of the project is to evaluate existing extraction technologies in order to see how useful would an automatically extracted ontology be. One issue with such an endeavor is the evaluation of an ontology. This is typically conducted by asking experts to conduct a manual evaluation. This is at the very least a tedious exercise that definitely prevents the optimization of the acquisition process. Therefore, in this proposal, we also address the issue of automatically evaluating an ontology.

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Faculty Supervisor:

Philippe Langlais

Student:

Partner:

International Air Transport Association

Discipline:

Computer science

Sector:

Other services (except public administration); Professional, scientific and technical services; Transportation and warehousing

University:

Université de Montréal

Program:

Accelerate

Machine Learning and Stochastic Chemical Modelling: A Novel Synthesis for Emissions Mitigation

Combustion-generated particles called ‘soot’ are the second worst contributor to climate change and are carcinogenic to humans. The formation of soot in combustion devices, however, remains poorly understood. It is therefore essential to gain a better fundamental understanding of soot formation to help reduce soot emissions and mitigate its negative effects on humans and the planet. To facilitate this understanding, the proposed research will develop an Artificial Intelligence (AI) algorithm to predict the rate at which soot is nucleated in flames. Chemical modeling software developed at the University of Michigan will provide highly detailed information about thousands of chemical species in flames. An AI algorithm will learn to predict soot formation from this data pairing, and can then be applied to predict soot formation in other systems. The AI algorithm will improve our understanding of soot formation; how much forms and under what conditions. Improving our scientific understanding and creating a robust soot prediction algorithm will inform engine and other combustion device designers and enable them to select designs with minimal soot production.

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Faculty Supervisor:

Seth Dworkin

Student:

Partner:

University of Michigan

Discipline:

Engineering

Sector:

Education

University:

Toronto Metropolitan University

Program:

Globalink Research Award

Commodification of Traditional Musical Modalities and Cultural Identity (Re)constructions on Prince Edward Island,1980s to the Present

This project explores the commodification and marketing of traditional Prince Edward Island musical culture over the past forty years in light of the experiences and understandings of individuals who have been prominent players in the traditional music sector over the past four decades. This process will be explored by investigating the relationships that exist between major government/government-adjacent organizations (cultural and touristic funding organizations) and the traditional musicians who apply for and receive said funding. The researcher anticipates that the outcome of the study will demonstrate the subtle ways in which funding processes like cultural or tourism grants create incentive for artists to shape their artistic expression and their own conceptions of traditionalism, as well as the ways by which artists may offer resistance to these pressures.

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Faculty Supervisor:

Lisa Chilton

Student:

Partner:

Fédération culturelle de l’Île-du-Prince-Édouard

Discipline:

Sociology

Sector:

Information and cultural industries

University:

University of Prince Edward Island

Program:

Accelerate

Business Strategy Internship with Planetary Hydrogen

This 8-month project will help advance Planetary Hydrogen’s efforts to demonstrate and certify it’s SeaOH2 process by:
1. Explore the Canadian CDR policy landscape and developing a strategy to inform policy-makers of Ocean-based CDR methods;
2. Work with Ocean Scientist, regulators and other stakeholders (such as community groups, environmental non-governmental organizations and partner for-profit entities) to determine a certification pathway(s) for OAE, and other Ocean based CDR methods; and
3. Work with the PH Business Development and Engineering Teams to develop a full-project proposal for a first-of-it’s kind 1 ton per day carbon capture pilot plant to demonstrate not only the innovative technology, but an innovative circular business model that seeks to generate multiple revenue streams from waste products such as mine tailings, while leveraging existing processes such as waste water treatment for climate and ocean restoration.

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Faculty Supervisor:

Yuri Leonenko

Student:

Partner:

Planetary Hydrogen

Discipline:

Earth science

Sector:

Administrative and support, waste management and remediation services

University:

University of Waterloo

Program:

Business Strategy Internship

Greenville Enterprises Five-Year Strategic Plan

Although it is clear that great opportunities exist for Aboriginal businesses, there is a distinct need for formalized research findings and knowledge dissemination about Aboriginal organizations and the role that they can play in creating sustainable economies. In an attempt to address this research gap research institutions and analysts are building a body of literature that documents the development, growth, and daily operations of some of these successful Aboriginal organizations. The Village of Laxgalts’ap is one of the four Nisga’a communities under the Nisga’a Lisims Government that created Greenville Enterprises Inc. in 2009, an organization focusing on logging, log sorting, log home building, scaling and cedar shake milling. This project will focus on the development of a 5-year comprehensive strategic plan that examines the current strategies of the organization, how business choices for services and products align with current company strategies and goals, maximizing the potential for commercial success of new ventures or products.

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Faculty Supervisor:

James Tansey

Student:

Partner:

Greenville Enterprises Inc

Discipline:

Business

Sector:

Education; Commercial Services; Other

University:

The University of British Columbia

Program:

Accelerate

Towards AI-driven and Emotion-adaptive Mental Health Platform to Enhance Therapeutic Processes

Nowadays, mental health issues have become a major public health challenge. Moodie app allows patients to track their emotions, moods, routines, sleep, diet, physical activity, and associated context via journal logs. This provides the therapist with a rich pool of data for accurate diagnosis and assists with the treatment. This project aims to (1) Develop machine learning models and evaluate their ability to predict individual’s emotional state using over one year journaling log and associated emotion from Moodie app. (2) Compare the performance of different machine learning models to determine the best performing model for predicting emotions from tracked data. (3) Using a combination machine learning and thematic analysis identify both the negative and positive factors that affect people’s mood. (4) Evaluate the User Experience (UX) and Usability of the app. This is the first step toward developing a user-friendly AI-adaptive and emotion-driven mental health intervention

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Faculty Supervisor:

Rita Orji

Student:

Partner:

Moodie Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Dalhousie University

Program:

Accelerate

Understanding Gene Model Maps

Researchers are often tasked with finding related works in their respective field, including journal entries and images that represent the work contributed, which allows researchers to summarize and expand previous contributions. Biological researchers often convey their contributions through visual illustrations, also considered gene model maps. These gene model maps are used to represent how contributions of a researcher fits into the grand scheme of things. As research on a particular biological system enhances, we find a large portion of the system remains static with small changes to a gene or set of genes. This project will develop a complete system which can parse gene model maps into a textual description of what relationships among genes are present in a given biological diagram. The outcome of the research will accelerate the discovery of biological research and assist at recommending related works not in original search criteria.

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Faculty Supervisor:

Faisal Z. Qureshi

Student:

Partner:

I-INC Foundation for Business Development

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Ontario Institute of Technology

Program:

Accelerate

Conception et validation d’un système de commande de portes palières.

Les portes palières sont des portes automatiques situées le long des quais des stations de métro et qui séparent physiquement le quai des voitures du train. Les portes palières sont de plus en plus intégrées directement en amont de la conception des nouvelles stations de métro, ou alors elles sont rétrofitées pour pouvoir s’adapter aux quais des stations de métro déjà existantes. Ces portes sont extrêmement efficaces pour réduire les risques d’accidents de voiries, car elles empêchent les suicides, les accidents et aussi les chutes d’objets pouvant causer des interruptions de service. La compagnie DOORspec, spécialiste en portes de train, a développé un prototype d’un système de commande qui permet aux portes palières de communiquer avec le train arrivant en gare et vice-versa. Ce projet implique une révision de la conception actuelle, des révisions et l’utilisation de nouveaux protocoles pour mieux répondre aux exigences ci-dessus.

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Faculty Supervisor:

David Alexandre Saussié;Sofiane Achiche

Student:

Partner:

DOORspec

Discipline:

Engineering

Sector:

Manufacturing

University:

Polytechnique Montréal

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.