Innovative Projects Realized

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

31914 Completed Projects

3006
AB
5256
BC
878
MB
703
NL
913
SK
9488
ON
9949
QC
98
PE
629
NB
1215
NS

Projects by Category

Investigating practical treatment processes to reuse wastewater effluent for irrigation and chemical treatment purposes at the Town of Altona, Manitoba

The Town of Altona is interested in reusing the wastewater effluent discharged from its aerated lagoons for irrigation or chemical treatment. The current wastewater effluent will be tested and its characteristics determined. Advanced wastewater treatment processes will be investigated to treat the aerated lagoon effluent, and the suitable process able to meet the federal and provincial guidelines for irrigation or spraying for chemical treatment will be identified, tested and recommended for such purpose for the Town of Altona.

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Faculty Supervisor:

Qiuyan Yuan

Student:

Partner:

Innovantage Inc;Town of Altona

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services

University:

University of Manitoba

Program:

Accelerate

Using Shared Mental Models to Improve Collaboration in Integrated Service Delivery Settings

Growing complexity of social needs, aligned with pressures for efficient and effective public services, has been met with calls for inter-professional, integrated approaches to societal problems (Henderson et al., 2020; Careau et al., 2018). Recent evidence has confirmed a positive relationship between shared mental models, and team/organizational performance (Evans & Baker, 2012). The purpose of this research project is to explore how the shared mental model framework can be applied in an inter-professional service delivery setting to improve collaborative practices and service delivery.
Luna Child and Youth Advocacy Centre (Luna) is a recognized centre of excellence in child abuse intervention and prevention. They have a dedicated and skilled inter-professional team that work together to focus on the most complex, severe and urgent cases of child maltreatment. Using Luna as the location of study, this explanatory sequential mixed methods research project will: identify the shared mental models that underpins their work; understand the impact shared mental models have had on collaborative practice; and, articulate lessons learned in a way that benefits Luna and other Canadian child and youth advocacy centres.

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Faculty Supervisor:

Cathie Scott

Student:

Partner:

Luna Child and Youth Advocacy Centre

Discipline:

Business

Sector:

Health and Related Sciences & Technology

University:

Royal Roads University

Program:

Accelerate

Developing an Automated Response Characterization Tool Based on Affect, Content, and Linguistic Features of the Casper Test

Open-ended questions are where respondents consider hypothetical scenarios that they might encounter in real life and describe what action(s) they might take in response to each situation. To assess a test-taker’s responses to these questions, a human scoring process (i.e., human raters marking each response individually) is followed. Despite following clear scoring criteria, human raters are likely to take additional factors (e.g., word choices) into account when scoring open-ended questions. Therefore, to what extent how someone writes influence the scoring needs to be carefully evaluated. Fortunately, new techniques and tools in natural language processing (NLP) allows researchers to analyze large amounts of textual data efficiently and achieve state-of-the-art results. This project aims to develop a tool that can analyze responses given to open-ended questions.

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Faculty Supervisor:

Okan Bulut

Student:

Partner:

Altus Assessments

Discipline:

Sociology

Sector:

Education

University:

University of Alberta

Program:

Accelerate

The Pan-Canadian Immunoglobulin Database: Enabling Utilization Reporting and Personalized Treatment Using Data Mining Techniques for Immunoglobulin

Immunoglobulin (Ig) is a blood product that is used for people who either lack IgG antibodies or require immunomodulatory therapy for life-threatening autoimmune conditions. The use of Ig products continues to increase each year, at an average rate of 8%. The COVID-19 pandemic has introduced additional stress on the Ig supply due to a reduction in the collection of source plasma.
We will build a comprehensive database for Ig products using electronic health records and patient clinical information to gain in-depth understanding on why, where and to whom Ig products were used in Hamilton Ontario and Calgary Alberta. Data-driven models will be developed to investigate strategies to positively impact health outcomes and optimize Ig utilization. We will also assess the compliance with current provincial guidelines, and design tools to help electronic data collection and to achieve automated utilization reporting and audit.

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Faculty Supervisor:

Na Li;Douglas Down;Douglas Down;Na Li

Student:

Partner:

Canadian Blood Services (ON)

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Manufacturing; Professional, scientific and technical services

University:

McMaster University; University of Calgary

Program:

Accelerate

Development of Supervised and Unsupervised Computer Vision Methods to Quantify Salmon and Forage Fish Biodiversity from Underwater Video

Underwater video cameras are a convenient method to monitor aquatic life such as fish. However, these cameras can collect a lot of footage, which can be challenging for humans to process. This project will use computer vision to automatically sort through video taken within and near to seaweed farms to specify the clips that have fish in them. The computers will then help identify and count rare and common fish to describe how marine organisms use seaweed farms as habitat. This information helps companies like Cascadia Seaweed farm seaweed in better ways to promote marine biodiversity by making their farms better habitats for marine life.

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Faculty Supervisor:

Alexandra Branzan Albu;Francis Juanes

Student:

Partner:

Cascadia Seaweed

Discipline:

Computer science

Sector:

Sustainability & the Environment; Artificial Intelligence; Aquaculture and Fishing

University:

University of Victoria

Program:

Accelerate

Artificial Intelligence for Condition Assessment of Critical Infrastructure

Unexpected deterioration and failure of concrete infrastructure causes major disruptions and in the most severe
cases, results in lives lost. According to the 2019 Canadian Infrastructure Report Card, Canadian public
infrastructure is at risk therefore, detecting and addressing deterioration in such structures is crucial. The Damage
Rating Index (DRI), a reliable novel quantitative microscopic procedure, is currently used to assess deterioration
in concrete. Yet, its use is limited since it is time-consuming besides requiring experienced operators. Automating
the DRI using artificial intelligence (AI), reducing human error and increasing its accessibility leading towards more
complete diagnosis, has the potential to revolutionize the monitoring and management of critical concrete
infrastructure, enabling early detection, preventing minor disruptions and catastrophic failures and helping in the
selection of rehabilitation strategies to extend the lifespan of aging/deteriorating structures. Combined with the
collaboration of Englobe and their expertise in concrete materials, this project will achieve fruitful results.

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Faculty Supervisor:

Leandro Sanchez

Student:

Partner:

Englobe

Discipline:

Engineering

Sector:

Construction; Artificial Intelligence

University:

University of Ottawa

Program:

Accelerate

An Aerodynamic-Acoustic Design of an Electrical and Shrouded Tail Rotor

Aerospace industry innovations targets reduction of fuel consumption and noise emission. Electrical power-bywire
enabled technology address these challenges yielding lighter designs, increased operation flexibility and cost
reduction. With electric motors having variable rotational speed, constraints in design and optimization strategies
for rotor and propellers can be released. ln addition to conventional aircraft and rotorcraft, new concepts arise in
the urban air mobility or autonomous air delivery markets. Noise annoyance during manoeuvre and local
community noise concerns around heliports have to be addressed early by manufacturers. This research project
is intended to take on the challenge with the development of aerodynamic-aeroacoustic coupled optimization
methods for the design of quieter rotor and propellers. The objective of the partnership Bell Textron Canada
Limited and Optis Engineering is to develop a coupled aerodynamic-aeroacoustic optimization framework for an
electrical distributed anti-torque (EDAT) system to equip future Bell helicopters produced in Canada.

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Faculty Supervisor:

Marlène Sanjosé;Stéphane Moreau;Sivakumaran Nadarajah

Student:

Partner:

Bell Textron Canada;Optis Consultants Inc

Discipline:

Engineering

Sector:

Manufacturing; Transportation and warehousing

University:

École de technologie supérieure; McGill University; Université de Sherbrooke

Program:

Accelerate

Documentation et évaluation d’un projet de transition socio-écologique dans une perspective d’amélioration et de mise à l’échelle

La génération de déchets dans le secteur de la restauration a emporté est un fléau. Alors que la Ville de Montréal vient d’adopter un règlement interdisant l’utilisation de plastiques à usage unique, l’entreprise d’économie sociale Retournzy coop propose un modèle innovant d’économie circulaire et de partage de contenants réutilisables consignés sous forme d’un réseau. L’objectif de la recherche sera de documenter les résultats et indicateurs des opérations menées sur le terrain afin de formuler des recommandations quant à l’amélioration du processus dans une perspective de validation de l’intervention comme réponse à l’objectif de départ ainsi qu’une perspective de mise à l’échelle.

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Faculty Supervisor:

Luciano Barin Cruz

Student:

Partner:

Retournzy Coop de Solidarité

Discipline:

Business

Sector:

Real estate and rental and leasing

University:

HEC Montréal

Program:

Accelerate

Early Biomarkers for Prediction of Chemotherapy-induced RNA Disruption in Tumour Cells

Chemotherapy agents can induce the degradation of a molecule in tumour cells called RNA. We call this phenomenon “RNA disruption”. High tumour RNA disruption after about 1 month of chemotherapy predicts for complete tumour destruction and improved cancer patient survival. We and Rna Diagnostics, Inc. are using this knowledge to predict patient outcome from chemotherapy. Patients with tumours not exhibiting high RNA disruption are likely to benefit from discontinuing chemotherapy and moving on to other treatments. We now have knowledge of earlier events within tumour cells that precede RNA disruption. The student will example some of these earlier events, with the goal of possibly identifying new tools to predict chemotherapy treatment outcome even earlier during treatment.

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Faculty Supervisor:

Tom Kovala

Student:

Partner:

RNA Diagnostics Inc

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

Laurentian University

Program:

Accelerate

Le profil du client selon l’aire de diffusion: une application au domaine culturel

Un des gros défis des entreprises culturelles et artistiques est celui de la connaissance de leur public. Cette connaissance est le principal fondement pour la mise en place d’actions marketing pertinentes (Colbert & Dantas, 2019). Certes, les informations fournies par les systèmes de billetterie sont utiles pour la prise de décision. Cependant, ces informations ne sont pas suffisantes pour dresser un profil du public consommateur de spectacles. Ainsi, à l’aide de données de billetterie (Tuxedo) correspondant à plus de 15 000 spectacles, de codes postaux (Postes Canada) et des aires de diffusion (Statistiques Canada), nous allons établir le profil des clients ayant acheté des billets pour chacun des spectacles analysés.

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Faculty Supervisor:

Danilo Dantas

Student:

Partner:

Groupe iCible Inc.

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

HEC Montréal

Program:

Accelerate

Cost-effective leachate treatment using aerobic granular sludge technology

Landfill leachate is a complex wastewater composed of organic carbon, nitrogen compounds, dissolved solids, and heavy metals. Leachate characteristics may differ depending on the waste landfilled, climate conditions, and landfill age. Because of the toxic and recalcitrant nature of its constituents, landfill leachate wastewater (LLW) must be treated before being released to the environment. There is an urgent need to develop robust and energy and cost efficient leachate treatment processes that can handle the high organic carbon and high ammonia loadings of leachate while be able to withstand the toxicity and inhibition that may arise due to the heavy metals of leachate.
In this two-year project, Dr. Liu’s research group at the University of Alberta will collaborate with the City of Edmonton, to develop and optimize aerobic granular sludge (AGS)-based nitritation/denitritation/anammox treatment processes for energy efficient high-strength LLW treatment. Pilot-scale bioreactors will be operated and optimized for enhanced ammonia reduction efficiency, improved energy efficiency and reduced environmental impacts for LLW treatment. The focus will be to determine the optimal conditions for LLW treatment and select the operation conditions and control strategies most favorable for developing a robust microbiome within bioreactors.

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Faculty Supervisor:

Yang Liu

Student:

Partner:

City of Edmonton

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services; Public administration

University:

University of Alberta

Program:

Accelerate

Using Technology for Curriculum-Based Measurement of Literacy

We do not have an effective Canadian Curriculum-Based Measurement Tool. Moreover, existing tools do not incorporate Artificial Intelligence. We aim to develop a tool that will enable the targeted and brief assessment of gaps in student literacy skills with the aim of allowing strategic instruction to be planned and delivered based on those gaps. Identifying and addressing these gaps is critical to improving student trajectories and ensuring their later success. Year 1 of our joint research project will implement established programs to provide online tutorial sessions. These sessions will enable data collection so that we can begin the development of a Curriculum-Based Measurement Tool in year 2. This tool will be developed using models that were created with the Year 1 data.

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Faculty Supervisor:

Carrie Demmans Epp;Janet Werker

Student:

Partner:

uLearnify Ltd.

Discipline:

Computer science

Sector:

Education

University:

University of Alberta

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.