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
QC
98
PE
619
NB
1192
NS

Projects by Category

Analysis of Data from Polymeric Pressure Sensor for Cardiovascular Risk Assessment

Cardiovascular disease (CVD) is a leading cause of death and disability, with 1 in 3 of us at risk of the disease.
Screening for relevant biomarkers regularly can help prevent and manage CVD. This project focuses on the
acquisition and analysis of CVD biomarkers obtained using a device consisting of polymeric pressure sensors and
advanced machine learning algorithms. The biomarkers will be obtained by extracting features from dynamic
pressure changes captured by the polymeric pressure sensor. Deep learning and neuromorphic models will be
developed to automatically classify pressure changes data based on their Signal Quality Index (SQI) scores and
to determine relevant CVD parameters in a computationally efficient manner on edge devices.

View Full Project Description
Faculty Supervisor:

Nilanjan Ray

Student:

Partner:

Synapsis Medical

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology

University:

University of Alberta

Program:

Accelerate

Exploring the decoration of nanostructured nickel sub-oxides with single atoms for energy conversion electrocatalysis

The proposed project aims to advance energy conversion processes by developing an innovative method to create single atoms (SAs) on a nanostructured nickel oxide support layer, facilitating electrocatalytic oxygen generation. With a focus on enhancing hydrogen and oxygen evolution reactions, crucial for renewable energy generation, fuel production, and energy storage, the project addresses pressing global energy demands. By devising efficient and cost-effective electrocatalysts, it holds promise to significantly improve performance and scalability, thereby facilitating the transition to cleaner and more sustainable energy systems. Through data sharing and publication of research findings stemming from this endeavor, the University of Alberta and the University of Siegen are poised to solidify their positions as prominent contributors to the renewable energy sector, actively shaping its trajectory. This collaborative effort not only bolsters their academic prestige but also establishes them as crucial entities in driving innovation within the industry. Additionally, by mitigating challenges associated with traditional catalyst materials, such as limited availability and high cost, the project aims to overcome barriers to the widespread adoption of clean energy technologies, ultimately contributing to a more sustainable future.

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Faculty Supervisor:

Shiva Mohajernia

Student:

Partner:

Universität Siegen

Discipline:

Engineering

Sector:

Green/Alternative Energy; Nanotechnology; Energy and Utilities

University:

University of Alberta

Program:

Globalink Research Award

Data Analysis and Development of Cost Prediction Method for Renal Failure Care Delivery

Care of patients with renal disease is important and resource intense. Since we have an aging population with an increase in diabetes prevalence; the number of patients with renal disease is increasing and there is a need to develop strategies for more cost efficient care. The solution to this issue is home dialysis which is an alternative to the conventional hospital-treatment. Home dialysis is able to reduce the cost of the care delivery and also enhance the quality of health care for the patient. This process is monitored and facilitated by eQOL using a novel mobile technology solution. The goal of this project is to collect the data, gathered from home dialysis patients either electronically or by Health Care Team, and analyze it to quantify and predict the cost care delivery across different patient groups and time periods. This prediction will be able to forecast the total cost of care in a time period for a given patient with a set of input data. This information is valuable to health care administrators to accurately quantify the cost of care delivery and plan the budget accordingly.

View Full Project Description
Faculty Supervisor:

Chao Zhang

Student:

Partner:

eQOL Inc

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Information and Communications Technology; Public Service, Policy, and Governance

University:

Western University

Program:

Accelerate

Thermal Management System for High-Temperature Thermal Energy Storage Applications

This proposal focuses on enhancing renewable energy utilization by developing efficient thermal energy storage systems. By leveraging technologies like microscale flow channels that are reported to provide high heat transfer coefficients, the project aims to improve heat extraction rates, enabling better integration of renewable power generation systems with thermal storage. The collaboration between the University of Alberta in Canada and NUST in Pakistan will not only advance research in sustainable energy solutions but also contribute to addressing global challenges related to industrial heat demand and climate change. Through systematic investigation, the project seeks to overcome technical hurdles and establish reliable, compact, and cost-effective coupling systems, benefiting both research institutions and the wider community striving for cleaner energy alternatives.

View Full Project Description
Faculty Supervisor:

Muhammad Taha Manzoor

Student:

Partner:

National University of Sciences and Technology

Discipline:

Engineering

Sector:

Clean Technology; Energy and Utilities; Sustainability & the Environment

University:

University of Alberta

Program:

Globalink Research Award

Development of a computational pipeline to mine phage endolysin sequences from metagenomic datasets

The resistance of bacteria to antibiotics is a growing problem that we need to address, for example, through the development of alternative treatments. Bacteriophages, or phages, the viruses of bacteria, have been proposed as a potential avenue for the treatment of recurring bacterial infections or against multi-resistant bacteria. Even more promising, are proteins encoded by phages, called lysins, that attach to the bacterial cell wall and degrade it, eventually leading to the death of a target bacterium. Their natural diversity, matching the diversity of bacteria, only adds to their potential as a source to develop treatments. The goal of this project is to develop a computational tool to mine phage lysins from phage protein datasets. Such powerful computational tools for the discovery of new phage lysins could lead to the development of new alternative treatments to antibiotics targeting harmful bacteria. This project will combine the expertise of the host institution on lysins and that of the home institution in informatics for the development of a tool that will benefit the research conducted on phages in both institutions, and even more broadly to the research field interested in the development of alternative treatments to antibiotics.

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Faculty Supervisor:

Elsa Rousseau

Student:

Partner:

Ghent University

Discipline:

Computer science

Sector:

Education

University:

Université Laval

Program:

Globalink Research Award

“Improving Flexural Strength Predictions in Composite Materials using Image Processing and Machine Learning”

This project aims to improve the way we assess the strength of short fiber reinforced composites, focusing on sustainability. By exploiting the distinct visibility traits of PEEK and carbon fibers in CT scans, the study will utilize non-destructive testing and computer algorithms to analyze and measure factors critical to the material’s strength directly from scan images. Through a combination of 2D and 3D imaging techniques and machine learning, the research intends to streamline the analysis of large data sets and develop a predictive model linking scan images to the composite’s mechanical properties.
The collaboration between York University and Prof. Gupta at New York University aims to leverage intern’s skills in micro-CT scanning and image processing to advance research in composite materials. The joint work will not only contribute to the lab’s research objectives but also enhance the intern’s understanding of machine learning and the relationship between imaging techniques and material properties. With the intern’s expertise in material charactersation, CT scanning and image processing, this partnership is expected to yield innovations in sustainable material testing and development, benefiting both institutions by fostering academic growth and opening new research avenues in materials science.

View Full Project Description
Faculty Supervisor:

Reza Rizvi;Garrett Melenka

Student:

Partner:

New York University Polytechnic School of Engineering

Discipline:

Engineering

Sector:

Artificial Intelligence; Technology; Advanced Manufacturing

University:

York University

Program:

Globalink Research Award

Development of an economical organic Rankine cycle (ORC) modular rig using low-temperature geothermal heat sources

This proposal aims to address the urgent need for clean energy solutions in Canada, particularly focusing on harnessing geothermal energy to meet electricity demands. By utilizing an Organic Rankine Cycle (ORC) system, which efficiently converts geothermal heat into electricity, the project seeks to develop a modular rig integrated with parallel turboexpanders for enhanced performance. This initiative not only aligns with Canada’s goal of achieving net-zero emissions by 2050 but also offers practical solutions for sustainable energy production. The participating institutions, including the University of Alberta in Canada and NUST in Pakistan, will benefit from collaborative research, innovation, and the training of interns in cutting-edge energy technologies, thereby contributing to global efforts in combating climate change.

View Full Project Description
Faculty Supervisor:

Muhammad Taha Manzoor

Student:

Partner:

National University of Sciences and Technology

Discipline:

Engineering

Sector:

Energy and Utilities; Green/Alternative Energy; Sustainability & the Environment

University:

University of Alberta

Program:

Globalink Research Award

Impact assessment of delineated management zones and variable nitrogen application rates in potato production using artificial intelligence techniques

Prince Edward Island (PEI) potato production represents 23% of the total production in Canada, contributes 6.6% in the local provincial economy, therefore maintaining higher potato yield is the main goal of local farmers. This can be achieved through proper management practices including nutrients supply such as nitrogen. Nitrogen (N) is the one of the most limiting nutrient in potato (Solanum tuberosum L.) growth and plays a significant role in yield attributing factors such as plant emergence, plant height and weight of tuber per plant. However, uniform application of N fertilizer without considering spatial variability in terms of soil physicochemical properties and other environmental factors, leads to overuse of N fertilizer. The excess N supply leads to premature leaf senescence, low starch content, reduction in tuber yield and promotes nitrate loss through leaching, causing environmental pollution. To our knowledge, few studies have been carried out to reduce within field spatial variability using combined approach of integrating soil proximal sensor data with previous years tuber yield along with the artificial intelligence techniques to monitor in season N dynamics and tuber yield. Therefore the goal is to explore the optimization of N application in potato production to improve yield and minimizing N loss.

View Full Project Description
Faculty Supervisor:

Antoine Karam

Student:

Partner:

Walloon Agricultural Research Centre

Discipline:

Earth science

Sector:

Agriculture and Food; Artificial Intelligence; Environmental Science and Technology

University:

Université Laval

Program:

Globalink Research Award

Studying the process-properties relationship of a new thermoplastic lignocellulose

Canada stands well positioned to becoming a commercial leader in sustainable materials, especially when based on the waste of our natural resources like forestry pulp. A flowable bioplastic being developed at Agapyo, came out of the research at McMaster University and promises to replace petroleum-based plastics meant for structural applications. Agapyo and McMaster are working together to rapidly bring this new material to market while simultaneously learning more about how the chemistry and extrusion processing environment interact on a fundamental level. The post doctoral fellow will study the interactions of chemistry and process, and translate the results into useable guidance for Agapyo’s manufacturing group.

View Full Project Description
Faculty Supervisor:

Michael Thompson

Student:

Partner:

Agapyo

Discipline:

Engineering

Sector:

Manufacturing

University:

McMaster University

Program:

Accelerate

Rogers “Innovation Pitch”

To take an innovative look at issues facing Rogers hockey coverage, community outreach and engagement and opportunities for value creation by reaching new hockey audiences. The goal will be to connect with and develop students across the country who are interested in sports media and business. At the same time, to also develop important thought leadership on the challenges and opportunities facing Rogers as it enters into the groundbreaking hockey media rights deal starting in 2014.

View Full Project Description
Faculty Supervisor:

Cheri Bradish

Student:

Partner:

Rogers Communications Inc (Toronto, ON) - to merge

Discipline:

Business

Sector:

New and Digital Media; Entertainment and Media

University:

Toronto Metropolitan University

Program:

Accelerate

Using Multiomics To Understand Spatial Heterogeneity in Alzheimer’s Disease

Single-cell -Omics analysis methods are having a transformational impact on research in the life sciences. Specifically, the capacity to assess genomes, transcriptomes, or proteomes of individual cells in place of (or in addition to) measuring the average signals from populations of cells allows researchers to ask and answer questions that have never been accessible until now. We recognize this transformation and propose to push it further, developing the world’s first system capable of capturing transcriptome, proteome, and epigenome sequences from a single, spatially resolved cell, and applying it to unraveling a hot question in neuroscience, the relationship between glial cell behavior and Alzheimer’s disease. In sum, in this work, we will explore and expand the unique selectivity of DISCO to obtain exceptionally high-content catalogs of individual glial cells to ask important questions about glial cell behavior as related to Alzheimer’s disease. Importantly, the DISCO platform is highly versatile and reconfigurable, and is cell-type-agnostic in such way that it can evaluate nearly any biological question of interest.

View Full Project Description
Faculty Supervisor:

Aaron Wheeler

Student:

Partner:

Max Planck Institute for Multidisciplinary Sciences

Discipline:

Life Sciences

Sector:

Biotechnology; Health and Related Sciences & Technology

University:

University of Toronto

Program:

Globalink Research Award

Recherche participative sur la domestication d’espèces arctiques afin d’accroître la sécurité alimentaire et l’autonomie alimentaire des communautés inuites.

Dans le cadre du projet VertBerry du Défi Cultiver l’Innovation d’ici de la Weston Family Foundation et en complémentarité
avec le projet Sentinelle Nord sur la sécurité alimentaire des communautés inuites du Kitikmeot, ce stage de recherche vise à
concevoir des protocoles de domestication pour des espèces arctiques comestibles, notamment les petits fruits, permettant
ainsi une récolte allongée ou continue de plantes. Les baies traditionnelles et les plantes comestibles/médicinales font partie
intégrante du système alimentaire, de la culture et de l’identité inuites. Cependant, le climat arctique rigoureux et les
changements climatiques restreignent les opportunités de récolte, affectant l’accessibilité aux petits fruits et autres espèces.
Par ailleurs, la domestication de nouvelles espèces comestibles, dont des petits fruits, permettrait pour les régions plus au sud
de diversifier l’offre pour des produits nordiques à haute valeur nutritive et culinaire.

View Full Project Description
Faculty Supervisor:

Martine Dorais

Student:

Partner:

Viventem Science support agency;Weston Family Foundation

Discipline:

Earth science

Sector:

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

University:

Université Laval

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.