Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Validation of a weighted wearable training system for hockey skating

ROKET GEAR is a Canadian start-up that has developed a wearable training system for hockey skating. The system consists of adding weights strategically placed on the leg so that skaters can actually strength train while skating. As a result, the training system allows athletes to increase their effort during skating and to build strength in their leg muscles. This project will help ROKET GEAR determine the appropriate amount of weight to add to their system to maximize the strength training effects without actually disturbing the proper skating technique.

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Faculty Supervisor:

Darren Stefanyshyn

Student:

Partner:

ROKET GEAR

Discipline:

Life Sciences

Sector:

Retail trade

University:

University of Calgary

Program:

Accelerate

A robust, device agnostic client platform for EMR integration: A proposed architectural model and UI/UX design for a mobile health client portal

Closing the Gap Healthcare has been delivering high-quality health care in communities since 1990. Closing the Gap (CTG) offers a range of services for clients of all ages and are a leader in complex care cases. The Centre for Mobile Innovation (CMI) at Sheridan College has collaborated with CTG and is in the process of developing a responsive client portal that offers a mobile-friendly view for patients to see their upcoming appointments and details about their care program and care providers. Currently, CTG’s 5,000 patients need to use the phone to find this information which is inconvenient and consumes substantial resources both from CTG and the clients. The proposed novel Mobile Client Portal will address the gap in health care services that clients are current seeking.

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Faculty Supervisor:

Syed Tanbeer;Ed Sykes

Student:

Partner:

Closing the Gap Healthcare

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Sheridan College Institute of Technology and Advanced Learning

Program:

Accelerate

Control of Line Complications with KiteLock (CLiCK) in the Intensive Care Unit

A central venous catheter (CVC) is a thin, silicone tube that a doctor may insert into the vein of a patient to deliver medications directly into their bloodstream. If the patient does not need constant medication, nurses fill the CVC with salt water to keep the tube open. This is called ‘locking’ the CVC.
Because a CVC is a foreign object introduced into the body, it may put already vulnerable patients at risk of developing complications such as infection and blood clots. Although locking with salt water keeps the CVC open, it offers little protection from CVC complications.
We propose partner with SterileCare Inc. to investigate a novel locking fluid with additional protective properties in intensive care patients. We will compare CVC complication rates to those treated with standard salt water locks in multiple hospitals. This will aid SterileCare Inc. in testing their product in a patient population they have not yet studied.

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Faculty Supervisor:

Steven Reynolds

Student:

Partner:

SterileCare Inc

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Simon Fraser University

Program:

Accelerate

Combating loneliness at the neighbourhood level: Developing a Community Cohesion Index

With an increasing concern toward social isolation and loneliness issues in society, there is growing interest in social initiatives aiming to enhance social connectedness within communities. To make such efforts sustainable, the next step would be to evaluate their effectiveness to develop evidence-based practices. The goal of this project is to build a reliable assessment tool, named Community Cohesion Index (CCI), that measures the social cohesion between and among neighbors. To achieve this, this project will collect multi-source data tapping into different aspects of community cohesion (i.e., social connectedness, belonging, ownership, and safety) within different neighbourhoods in the Lower Mainland. We will then use the CCI to test the effectiveness of the “Hi Neighbour” initiative that the partner organization developed to promote connectedness in neighborhoods. Furthermore, we will develop a set of guidelines to assist the public use of CCI. We expect the CCI will provide a holistic assessment of the effectiveness of social policy and intervention aimed at better-connected neighborhoods.

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Faculty Supervisor:

Frances Chen

Student:

Partner:

United Way of the Lower Mainland

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

The University of British Columbia

Program:

Accelerate

Portable Low-cost Fast Impedance-based Point-of-care Diagnostic Device for COVID-19

COVID-19 has significantly impacted the world. Nucleic acid, CT, and fever tests are standard tests, but they suffer from various limitations. For instance, CT requires large & expensive equipment. The nucleic acid test is not portable and takes at least two days. As sensor technologies get more advanced, a portable, low-cost and fast diagnosis COVID-19 device becomes more desirable. Our proposed impedance-based device takes 2 minutes to check lung infection and takes 20 minutes to obtain antibody results. The benefits to patients are apparent, especially low- and mid-income countries.

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Faculty Supervisor:

Jie Chen

Student:

Partner:

Hidaca Ltd

Discipline:

Engineering

Sector:

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

University:

University of Alberta

Program:

Accelerate

CO-Away: A Rapid Response Digital Tool to Tackle COVID-19

When our society has faced existential threats in the past, we have banded together to use the technology at hand to overcome them. The COVID-19 outbreak is one such threat that requires the same level of societal effort today. However, in the 21st century, we can combine social innovation, citizen science, and digital epidemiology to harness the power of the ubiquitous digital tools that almost all members of our society have in hand. We must bring together people and provide them with the ethical surveillance tools they need to help them overcome their fear, be better informed, and help our health and financial systems monitor the situation. CO-Away would be one such digital epidemiological app that will leverage the approach of SMART Platform in integrating ethical surveillance, integrated knowledge translation, and policy and behaviour interventions. SMART Platform is being implemented through the Digital Epidemiology and Population Health Laboratory (DEPtH Lab) at JSGS.

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Faculty Supervisor:

Tarun Katapally;Alireza Manashty

Student:

Partner:

Lung Association of Saskatchewan

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

University of Regina

Program:

Accelerate

Development of a multiscale Monte Carlo based treatment planning system for patient specific dosimetry (DaRT-TPS)

With this proposal a software will be developed to enable delivery of a maximum amout of radiation to the tumour while sparing healthy tissues. This will benefit Canadian cancer patients as well as highly qualified personnel that will be trained in an interdisciplinary environment,

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Faculty Supervisor:

Shirin Abbasinejad Enger

Student:

Partner:

Alpha Tau Ltd

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology

University:

Research Institute of the McGill University Health Centre

Program:

Accelerate

Decentralized Deep Radiomics: Scaling up the discovery of prognostic and predictive cancer imaging biomarkers from routine clinical data across a network of hospitals

Genetic advances over the past 10 years have led to the development of several targeted therapies for lung, breast and colon cancer. However, there are a number of factors that limit the optimal use of these innovations, including the high cost of the organizational process associated with molecular testing, and their late use in the patient’s journey. Recently, the prospect of obtaining non-invasive, cost-effective and timely triggers for diagnostic & therapy has emerged from a discipline known as Radiomics. Radiomics leverages advances in artificial intelligence (AI) for the quantitative extraction of high-dimensional imaging features with promising predictive and prognostic indications. Nonetheless, a lack of evidence from large enough cohort validation, and the transdisciplinarity necessary for this process appears to be a methodological barrier spanning from the physics and treatment of medical imaging, the analysis of big data in health (clinical, biological, genetic and epigenetic), to the required expertise in machine & deep learning. The proposed project aims at operationalizing at a large scale Imagia’s clinical evidence ecosystem, called Evidens, to enable a sharp decrease in the cost of discovering predictive and prognostic cancer imaging biomarkers, by pursuing and applying fundamental advances in machine learning, data privacy, distributed computing and biostatistics.

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Faculty Supervisor:

Yoshua Bengio;Bertrand Routy

Student:

Partner:

Imagia

Discipline:

Life Sciences

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université de Montréal

Program:

Accelerate

Part 2 (extension): Long-term evaluation of corticosteroid-releasing formulations to suppress implant device- related foreign body reactions and fibrosis

Implanted medical devices have dramatically improved the lives of millions of patients worldwide. However, in many cases, the body’s immune system rejects these devices and encapsulates the implant in fibrous scar tissue. This reaction is most detrimental to sensors for continuous monitoring and treatment of chronic conditions such as diabetes and those of the central nervous system. Device functionality is usually severely limited and risky additional surgeries for implant removal and reinsertion are required. Local delivery of corticosteroid drugs such as dexamethasone have been shown to suppress the immune response and extend device life. Nevertheless, restrictions on device size and requirements for extended drug presence (up to 1 month) have limited corticosteroid utility to date. The objective of the proposed project is to develop novel corticosteroid releasing technologies that can be processed in forms suitable for sensor applications, in particular for those used in continuous glucose monitors.

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Faculty Supervisor:

Boris Hinz

Student:

Partner:

Ripple Therapeutics

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Design optimization of barricades made of waste rocks

Stope backfilling with mining wastes has witnessed an increasing trend in the mining industry. Prior to filling underground stopes, barricades must be constructed at the base near the entrance of the stopes to retain backfill slurry. Over the past years, a number of barricade failures have been reported. The consequences associated with a barricade failure were usually serious, including flooding of drifts and working spaces, economic loss, personal injury and even life loss. Barricades should be properly designed. Traditionally, barricades are made of bricks, timber, concrete blocks or steel mesh with shotcrete. The construction of these types of barricade is long and expensive. In Canada, the construction of barricades made of waste rocks becomes more and more popular because it is faster, easier and much more economic. Analytical solutions have also been proposed by Li and coworkers. However, they have not been fully validated by experimental results. In addition, shotcrete on the downstream slope of barricades may be needed to prevent ingression of slurried backfill or enhance the stability. There is no solution available to design the shotcrete. In this project, a solution will be proposed for the design of shotcrete on waste rock barricades.

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Faculty Supervisor:

Li Li

Student:

Partner:

Alamos Gold

Discipline:

Engineering

Sector:

Mining

University:

Polytechnique Montréal

Program:

Accelerate

Applying Data Science and Machine Learning Techniques to Canadian Oil and Gas Extractions

Alberta’s Oil and Gas (O&G) sector plays a critical role in Canada meeting its commitment to the Paris Climate Change Agreement. However, few studies published the actual operation data for extraction operations (schemes), especially fuel consumption data to accurately project greenhouse gas (GHG) emissions for development and expansion of O&G projects. In this study, we propose to
1) develop a GHG quantification tool using data science techniques in an integrated development environment – Jupyter Notebook with Python programming language to support aggregated oil and gas operations for their regulatory reporting,
2) apply knowledge discovery in databases (KDD) process to in situ oil sands extraction to discover patterns of energy consumption, GHG emissions, and oil production using unsupervised machine learning techniques.
3) Analyze carbon costs to the oil and gas extraction.

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Faculty Supervisor:

Ke Du

Student:

Partner:

VL Energy

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

Développement d’une plateforme dynamique d’aide à l’élaboration et la gestion assistées de plans d’intervention du réseau de l’éducation, de la santé et des services sociaux en utilisant de l’intelligence artificielle

Le plan d’intervention du réseau de l’éducation ou de santé ou de services sociaux consiste à définir un système de recommandation impliquant une planification d’actions visant à favoriser le développement et la réussite d’un jeune qui requiert, en raison d’une difficulté ou d’une déficience, la mise en place d’actions coordonnées. Cette planification, qui est réalisée dans le cadre d’une démarche de concertation comprenant les étapes d’élaboration, de réalisation et d’évaluation du plan d’intervention, se fait présentement par des intervenants experts d’une façon ad hoc. Cette tâche nécessite une ressource humaine importante et le résultat n’est pas toujours homogène car il dépend de l’expertise de l’intervenant impliqué. Il serait alors intéressant de faire ce travail d’une façon automatique en utilisant de l’intelligence artificielle.

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Faculty Supervisor:

Chahé Nerguizian

Student:

Partner:

Eduplan Solutions

Discipline:

Engineering

Sector:

Information and cultural industries

University:

Polytechnique Montréal

Program:

Accelerate

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