Innovative Projects Realized

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

30156 Completed Projects

2861
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5059
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812
MB
673
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842
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8957
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96
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579
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1120
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Projects by Category

Cultural Canvases: A Comparative Analysis of Arts Curricula and Attitudes in Chinese and Canadian Primary Schools

This project will compare and contrast how students in grades 4-6 learn art in Canada and China. This study explores how students in Canada and China learn art, how it’s taught and tested, and how their cultural backgrounds affect what they learn. How people in both countries think about art will also be explored. We want to understand if there are differences in how art is valued and understood. Moreover, the study will touch on how art can make people care about the environment. The question of if art can inspire individuals in both Canada and China to become more environmentally conscious and take action to protect nature will be investigated. In summary, the research has three main parts: 1) How students learn art, 2) What people in Canada and China think about art, and 3) How art can encourage people to care for the environment in both countries.

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Faculty Supervisor:

Shijing Xu

Student:

Partner:

Southwest University

Discipline:

Sociology

Sector:

Education

University:

University of Windsor

Program:

Globalink Research Award

Automated Single-Crystal X-ray Diffraction Platform for High-Throughput Structure Determination

Windsor, Ontario is recognized for its prowess in advanced manufacturing and automation and this project with PROTO Manufacturing Ltd. aims to draw from the innovative atmosphere of our region. PROTO is in the midst of developing a state-of-the-art robotic platform aimed at revolutionizing molecular structure determination—a vital component in diverse domains such as drug discovery and materials design. Beyond the technological marvel, this platform seeks to address the prevalent challenges in the industry, including the heavy dependence on manual operations that can be prone to inconsistencies. By championing automation and embedding expert logic into the system, PROTO’s initiative promises not just precision but also a newfound efficiency. More than a technological stride, this venture stands as a testament to Windsor’s innovation spirit. It holds the potential to further solidify the region’s global reputation, stimulate job creation, and amplify socio-economic growth, weaving a brighter future for both the scientific community and the local innovation ecosystem of Windsor-Essex.

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Faculty Supervisor:

Vedran Nicholas Vukotic

Student:

Partner:

Proto Manufacturing Limited

Discipline:

Physics

Sector:

Manufacturing

University:

University of Windsor

Program:

Elevate

The implications of foreshocks on mainshock triggering

Large earthquakes (mainshocks) are sometimes preceded by small-magnitude events called foreshocks. Foreshocks are the only detectable earthquake signals before the mainshock and thus, attract interest in using foreshocks’ properties to predict mainshock. It has been hypothesized a two end-member triggering mechanisms of foreshock, the cascade model and the aseismic slip model but results are often controversial and may be a combination of both models. A comprehensive analysis of the foreshock-mainshock sequence helps us deduce the contribution of each model. In this study, we are going to use the spatiotemporal evolution of foreshocks, seismic waveform analysis, and stress change to deduce which model is the best explanation of the triggering mechanism of the targeted sequence and aim at using the findings in this study to apply on future earthquakes.

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Faculty Supervisor:

Semechah K.Y. Lui

Student:

Partner:

The University of Tokyo

Discipline:

Earth science

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

CanDo: A Smart App for Cognition

We propose to leverage social networking in a series of apps designed to improve the quality of life for persons with cognitive disabilities. We believe the success of companies for recreational athletes, some with over 15 million users, is linked to motivation and partnering, in addition to the analysis and tracking features. Building on our previous research and these applications for recreational athletes, we plan to evolve our user-centric model for personalized interfaces, data collection, and analytics for persons with cognitive disabilities and their caregivers. The methodology research advances the understanding of not only how to create intelligent apps for persons with cognitive disabilities but also in multi-user scenarios such as between the person with cognitive disabilities and their caregivers. Our investigation for the proposed app includes designing to support both the planning phase and the excursion phase of a local outing that might also involve public transit.

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Faculty Supervisor:

Yvonne Coady

Student:

Partner:

Barrodale Computing Services Ltd

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Modeling the Evolution of Embedded Star Clusters

Groups of stars (star clusters) that we see throughout the Universe form inside giant clouds of molecular gas inside galaxies. After a few million years, clusters can disperse surrounding gas through a combination of stellar winds, radiation, and supernovae, making them easier to observe (stellar feedback). While clusters are embedded inside molecular clouds, it is difficult for observations to determine their dynamics or spatial distribution. I will perform numerical simulations of young clusters that are still embedded inside their host molecular clouds. My simulations will model the evolution of the stars and gas in the cluster while including effects from stellar feedback. I will focus on the growth of small star clusters, through cluster mergers, and gas accretion, into more massive. My work will be the first to analyze the dynamical imprint of mergers and gas accretion on young clusters. I will compare these results to observations of older clusters to constrain their formation mechanisms. This work will result in at least one paper published to the Astrophysical Journal.

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Faculty Supervisor:

Alison Sills

Student:

Partner:

The University of Tokyo

Discipline:

Physics

Sector:

Education

University:

McMaster University

Program:

Globalink Research Award

Privacy preserving for genomic data analysis and sharing

Genomic data is a rich source of knowledge that can reveal important details about a person and their ancestry. However, accessing and sharing genetic datasets is essential for advancing research and enhancing healthcare outcomes. Allowing sharing, accessing, and analyzing the genomic data while preserving users’ privacy is challenging. Differential privacy (DP) is a promising lightweight technique for privacy preservation in the genomic domain which relies on adding noise to the data or the
trained model weights. However, relying on adding a static privacy budget to the models and query results no longer benefits the adaptive mode for genomic analysis as the sensitivity of the query can change over time, and queries can be correlated with each other in genomic analysis.
In this research, we aim to add an adaptive noise scaling to help strike a better balance between privacy and utility in DP under genomic analysis and model training so we can better quantify a privacy loss over time for each query with a privacy filter formulation.

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Faculty Supervisor:

Ziad Kobti

Student:

Partner:

Karlsruher Institut für Technologie

Discipline:

Computer science

Sector:

Education

University:

University of Windsor

Program:

Globalink Research Award

Discovery platform for aptamer-based luminescent sensors for protein detection

Diagnostics are critical to our healthcare infrastructure, with substantial impacts on patient care and public health policy. Proteins have been used as diagnostic markers for disease monitoring for nearly 200 years, however, current analytical methods require expensive equipment and expert technicians. This restricts the use of such methods to centralized laboratories where they process samples sent from local collection facilities. Consequently, low resource areas experience limited diagnostic access and long wait times from sample to result. Cell-free technology uses purified biological components to enable transcription and translation in hours instead of days. This technology can be leveraged to develop low-cost, portable molecular diagnostics as these systems can be freeze-dried and distributed without a cold chain. The proposed project aims to leverage the principles of synthetic biology to establish a platform to rapidly discover aptamer-based luminescent sensors for biomarker detection, ultimately, such point-of-care systems could have major impacts on global health.

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Faculty Supervisor:

Keith Pardee

Student:

Partner:

Tokyo University of Agriculture and Technology

Discipline:

Life Sciences

Sector:

Biotechnology; Other

University:

University of Toronto

Program:

Globalink Research Award

Estimating Optimal Treatment Regimes from Electronic Health Records using Natural Language Processing for Unmeasured Confounding

n precision medicine, optimal dynamic treatment regimes (DTR) are a sequence of decision rules that individualize medical treatments. DTR estimation methods use observational data, such as electronic health records (EHR), which may lack variables that capture doctors’ rationale behind treatment assignment. However, while such variables, also referred as confounders, may not be directly recorded in EHRs, they may be embedded in unstructured medical notes. In this project, our project introduces Relational-variational Graph Autoencoders (R-VGAEs) in precision medicine via DTR estimation. R-VGAEs are particularly well-equipped at identifying latent features within graph-structured data, such as medical notes. We aim to compare our proposed method to DTR estimation via conventional unsupervised natural language processing methods, such as word2vec, doc2vec and ELMo, to showcase its performance. We also apply it on data from MIMIC-IV, a publicly available dataset, to show that the additional use of medical note data can further improve treatment personalization.

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Faculty Supervisor:

Olli Saarela

Student:

Partner:

The University of Tokyo

Discipline:

Mathematics

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

Determination of the Mechanical Properties ofWheat Straw for Equipment Design

Harvesting wheat grains require that the plant be cut from the stem and threshed. When the stem (straw) of the wheat bend due to pest and other factors, losses are incurred during harvesting. To minimize losses, breeders have developed pest-resistant wheat (solid stemmed) as compared to the hollow stemmed. The solid stemmed varieties may lead to higher straw strength and energy requirement which consequently will result in higher harvesting cost. Also, farmers are faced with the challenge of increased cost of transporting the straw outside the farm due to their high volume. Further compression of the straw can reduced this cost. The research project sets to investigate the mechanical properties of wheat straw varieties (solid and hollow stemmed) at various moisture and stem height for similarities and differences to help the sponsor (CNH) develop new equipment or improve existing equipment that can harvest agricultural residues and meet farmer’s demand.

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Faculty Supervisor:

Lope Tabil

Student:

Partner:

CNH Industrial;BioFuelNet;University of Saskatchewan

Discipline:

Engineering

Sector:

Agriculture and Food

University:

University of Saskatchewan

Program:

Accelerate

Développement d’un inhibiteur de microtubules résistant aux pompes glycoprotéines P, ciblant la poche des maytansinoïdes

Le projet consiste en le développement de nouveaux médicaments pouvant traiter le cancer. La méthodologie utilisée sera par l’inhibition de microtubules, une structure essentielle aux cellules cancéreuses, ce qui mènera
alors à la mort de ces dernières. Ces composés devront être résistant au mécanisme de défenses des cellules cancéreuses, soit les pompes PgP. Ces pompes permettent l’excrétion de molécules toxiques pour la cellule
diminuant ainsi l’accumulation intracellulaire du médicament. Donc un composé étant résistant à ce mécanisme améliorerait grandement son efficacité à tuer les cellules cancéreuses et diminuerait également les effets
secondaires systémiques puisque l’excrétion de molécules toxiques augmente les chances que les cellules saines soient affectées par le médicament toxique. Par la suite, afin de livrer le médicament préférentiellement aux
cellules cancéreuses, ce nouvel inhibiteur des microtubules sera alors transformés en complexe anticorps-médicament permettant alors de cibler exclusivement les cellules cancéreuses améliorant alors l’efficacité des
chimiothérapies offertes pour le traitement du cancer et diminuant les effets non-désirés de la chimiothérapie, les effets secondaires. Ce projet permettra aux partenaires de développer leur propre conjugué anticorps-médicament
dont chaque composante sera propriété du partenaire soit l’anticorps, la petite molécule médicamenteuse, le ‘linker’ et la technique de conjugaison.

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Faculty Supervisor:

Nicolas Moitessier

Student:

Partner:

Defence Therapeutics inc.;WASSC Technologies Inc.

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Comparison of chemical reactions between cyclone and filter for collection of PM2.5

The project focuses on studying the physicochemical characteristics of cyclone-collected PM2.5 in urban environments. Utilizing advanced techniques like Energy-dispersive X-ray fluorescence (EDXRF) and X-ray absorption fine structure spectroscopy (XAFS), the research aims to provide insights into the composition of fine particulate matter, including metals with varying toxicities such as chromium. The innovative methodology involves cyclonic separation for PM2.5 collection, eliminating traditional filters and minimizing contamination. The project includes a comprehensive multi-day sampling survey, offering an opportunity to collect original data specific to Canadian urban areas. Collaborating with international partners, particularly Dr. Okuda’s team, enriches the project with a global perspective. Through this initiative, the research team anticipates advancing air quality assessment, addressing health risks, and contributing to innovative methodologies in atmospheric science research. The hands-on experience and mentorship provided are expected to catalyze the intern’s growth into an independent researcher.

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Faculty Supervisor:

Hossein Kazemian

Student:

Partner:

Keio University

Discipline:

Physics

Sector:

Education

University:

University of Northern British Columbia

Program:

Globalink Research Award

Super-resolution microscopy of caveolin-1 dynamics in response to mechanical stress: caveolae, scaffolds and cell signaling

Caveolin-1 (CAV1) is a protein on the plasma membrane that forms cup-shaped structures caveolae, which flatten to protect cells under mechanical stress. However, the relationship between the caveolae and other CAV1 structures, scaffolds and dolines, in the process of caveolae formation and flattening is unclear. A challenge is to differentiate caveolae from scaffolds using conventional imaging methods because of their small size. AI-based network analysis of super-resolution microscopy provides a solution to this problem with its ability to determine nanoscale details. Therefore, we aim to determine how mechanical stress impacts CAV1 structures and their interaction with other proteins present in caveolae using super-resolution microscopy. Our results will help understand how CAV1 structures contribute to stress response of cells and how caveolae form. This collaboration project will enable sharing of complementary expertise on super-resolution network analysis from the Nabi Lab at UBC with the expertise of the Lamaze lab at the Institut Curie to further explore the role of caveolae fragmentation to scaffolds in response to mechanical stress.

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Faculty Supervisor:

Ivan Robert Nabi

Student:

Partner:

Institut Curie

Discipline:

Life Sciences

Sector:

Nanotechnology; Health and Related Sciences & Technology; Artificial Intelligence

University:

The University of British Columbia

Program:

Globalink Research Award

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