Innovative Projects Realized

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

30156 Completed Projects

2861
AB
5059
BC
812
MB
673
NL
842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
NS

Projects by Category

Beyond Diffusion: Animal-Mediated Nutrient Transport at Different Spatial Scales

Ecosystems are linked by exchanges of both energy and matter. These exchanges can be passive, as in water run-off, or active, as when an animal moves between ecosystems. These two types of exchanges can act against each other but, while research has focused on passive exchanges, not much is known about active exchanges. In this project, we propose to develop a mathematical model to describe how animals move matter between different ecosystems via the most common form of movement: foraging. Our foraging model will include the distance between two ecosystems, the quantity and quality of food available, and the risk of finding a predator. We will validate our model with real-world data from two different study systems, the alpine highlands of Argentina’s Andes and the boreal forests of central Newfoundland. Our foraging model will be a useful tool for researchers, managers and policy-makers to address real-world issues, such as the active transfer of artificial chemicals from croplands to forests by wild herbivores foraging in the former and resting in the latter.

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Faculty Supervisor:

Shawn Leroux

Student:

Partner:

Yale University

Discipline:

Life Sciences

Sector:

Education

University:

Memorial University of Newfoundland

Program:

Globalink Research Award

Intégration de la fabrication additive pour accélérer le cycle de développement de simulateurs médicaux

CAE Santé a besoin de fournir rapidement des simulateurs médicaux à ses clients et de concevoir des prototypes fonctionnels. L’objectif du stage est de mettre en place un outil d’aide à la décision en intégrant les procédés de fabrication additives afin qu’elle puisse diminuer ces cycles de développement de produit. L’outil permettra d’évaluer les pièces conçues par CAE Santé en matière de spécifications techniques, économiques et délais de mise en forme afin de proposer des processus alternatifs qui permettront une mise sur le marché plus rapidement tout en garantissant l’efficacité des pièces existantes. Enfin cet outil devra prendre aussi en considérant les méthodes organisationnelles actuelles employées par CAE Santé lors du développement d’une nouvelle pièce.

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Faculty Supervisor:

Sylvie Doré

Student:

Partner:

CAE

Discipline:

Engineering

Sector:

Advanced Manufacturing; Health and Related Sciences & Technology; Technology

University:

École de technologie supérieure

Program:

Accelerate

Synthesis of an irreversible inhibitor of Pol?

One aspect of modern drug development involves understanding how enzymes function in terms of the progress of certain diseases in humans. This MITACS project involves the synthesis of small-molecule labels that can bind to a specific enzyme of interest, so as to better understand the mode of action of this enzyme as related to the progress of cancer. This work will involve the preparation of organic molecules possessing appropriate structural features that will enable selective and irreversible binding to the desired enzyme. The understanding gained as a result will enable the partner organization (Repare Therapeutics) to develop more effective treatments for cancer.

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Faculty Supervisor:

Mark Stradiotto

Student:

Partner:

Repare Therapeutics

Discipline:

Physics

Sector:

Manufacturing

University:

Dalhousie University

Program:

Accelerate

Design of a Multi-modal Electronic Stethoscope for the Digital Acquisition and Automatic Diagnosis of Auscultation Signals

The proposed research project aims to develop a multi-modal stethoscope, containing superior digitized heart and lung sounds, telemedicine capabilities and assistive diagnostics. This is achieved by leveraging new advancements in piezo, microphone, wireless and machine learning technologies. The project will investigate these technologies and integrate them into custom made electronics and mechanical designs to achieve an optimal digitized sound that provides superior auscultation capabilities to medical professionals for lung and heart sound diagnosis. Furthermore, a streaming application will be created to visualize, store and share the digitized data for demonstration of telemedicine capabilities. Machine learning algorithms developed during the research project will also be applied to the data to provide a prototype of the assistive diagnostics capabilities of the proposed product. The partner will benefit from the novel prototype developed during the research project as it demonstrates a highly versatile product for medical professionals that can be commercialized.

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Faculty Supervisor:

Christopher Yip

Student:

Partner:

Impact Center;9868208 CANADA INC

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Advanced machine learning techniques for ore body modelling

Geostatistical techniques offer a means of mathematically approximating the spatial patterns of geological parameters. The geostatistical interpolation and simulation methods are commonly used for modeling ore bodies. The accuracy of these models has significant impacts on the reliability of mine planning and design. The proposed research project aims to apply advanced machine learning methods, geared specifically to the drillhole data type, to better predict the spatial distribution of rock properties (e.g. ore grade and rock hardness) in metallic ore bodies. Both classical and quantum machine learning techniques will be used to develop the ore body models. The accuracy of the machine learning models will be compared to the geostatistical models and with the field data.

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Faculty Supervisor:

Kamran Esmaeili

Student:

Partner:

StratumAI Inc

Discipline:

Engineering

Sector:

Mining

University:

University of Toronto

Program:

Accelerate

Novel Additives to Enhance the Delivery of Foliar Crop Sprays

Crop yield is increasingly important for feeding the global population and making Canada a more self-sustaining country. Active AgriScience is a BC based company that is developing novel technologies and formulati,ons for improving yield in many types of crops including canota, wheat, com, barley, and others. One of the key services that !clive AgriScience offers is the ability to combine a number of agrochemicals into a single formulation, while maintaining the stability and benefits of each individual ingredient. Combining multiple ingredients into a single solution greatly reduces the amount of work required for delivery to the plants, such as reducing the total volume and number of passes in crop spraying. This project aims to combine both optimal chemistry and physical properties to generate better ferti lizers for crop spraying.

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Faculty Supervisor:

John M Frostad

Student:

Partner:

Active AgriScience

Discipline:

Engineering

Sector:

Agriculture

University:

The University of British Columbia

Program:

Accelerate

Electro-fermentation of Lignocellulosic Biomass for High Rate Biofuel Production

There has been a noticeable interest across Canada to deploy new approaches to help address our growing energy needs. Second generation bioethanol production from agricultural and forest residues (named as lignocellulosic biomass), can pave the way for achieving this sustainable bio-economy. Regardless the efforts by ethanol producer companies to develop the technologies of generation of bioethanol fermentation, significant research is still required to further enrich the exertions of pilot-scale demonstration/ or pre-commercial phases to eventually debut impacts into society. Therefore, the development of an electro-fermentation process may provide significant benefits to various industrial-scale ethanol producers in Alberta and across Canada, and will enable them to lead the global cellulosic-derived bioethanol market. The proposed project will help Alberta’s continuous efforts in achieving environmental sustainability and economic diversification by increasing capacity for biofuel (e.g. bioethanol) production. TO BE CONT’D

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Faculty Supervisor:

Bipro Dhar

Student:

Partner:

InnoTech Alberta

Discipline:

Engineering

Sector:

Green/Alternative Energy; Biotechnology; Energy and Utilities

University:

University of Alberta

Program:

Accelerate

An Intelligent mixed-reality simulation & training ecosystem for extreme environments

In this project, we aim to design and develop an Intelligent mixed-reality Simulation & training ecosystem for Extreme Environments (I.SEE), which will be an innovative mixed-reality simulation ecosystem of hyper-realistic and fully immersive experience for enhanced crisis response, management, training, and data analysis. The ecosystem will be built based on a three-layer architecture: (i) On the top, an AR and VR-powered User Interface (UI) that brings users in a hyper-realistic 3D environment populated with game elements and relevant data; (ii) In the center, the mixed-reality simulation engine, the game portfolio and the AI-powered libraries modeling virtual object behaviors and features; and (iii) at the bottom, an IoT layer of heterogeneous hardware and software for massive data collection and processing in real time.

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Faculty Supervisor:

Linda Rouleau;David Alexandre Saussié;David Meger;Gabriela Nicolescu;Inna Sharf;Chahé Nerguizian

Student:

Partner:

Humanitas Solutions

Discipline:

Computer science

Sector:

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

University:

École Polytechnique de Montréal; HEC Montréal; McGill University; Polytechnique Montréal

Program:

Accelerate

Understanding the nanostructure of organic photovoltaics

In light of our dramatic environmental situation, we are faced with implementing carbon-neutral power sources. The sun offers a nearly endless supply of energy that can be converted into consumable power with the use of photovoltaics. While current photovoltaics are rather efficient, they are expensive to manufacture and install. A new branch of photovoltaics, organic photovoltaics, combines the tunability of chemical synthesis with abundant elements and inexpensive, lightweight materials. The result is the ability to mass manufacture these cells using techniques such as roll-to-roll printing, allowing for production at scales vastly larger and cheaper than for existing cells. However, organic photovoltaics are not without fault. These cells are at best, half as efficient at converting solar energy to power than are today’s silicon solar cells and lack long-term stability. My research is focused on understanding the factors that influence the nanostructure of the light harvesting materials typically used.

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Faculty Supervisor:

Jillian Buriak

Student:

Partner:

Technical University of Munich

Discipline:

Physics

Sector:

Energy and Utilities; Nanotechnology; Clean Technology

University:

University of Alberta

Program:

Globalink Research Award

Charge-Shifting Polycations as Gene Transfection Agents

Synthetic polymers will be explored as a vehicle to deliver DNA to cells for potential gene therapy applications. Charge-shifting polycations with varying rates of degradation will be studied to test the effectiveness of DNA release, as well as eventual uptake and conversion of the DNA to produce a targeted protein (i.e. transfection). The varying rates of degradation of the charge-shifting polycations that have been developed for this project will be a useful handle in determining optimal release kinetics, as well as provide fundamental information on the mechanism of transfection. Toxicity of the charge-shifting polycations will be tested with cell viability assays. It is hypothesized that charge-shifting polycations will exhibit greater transfection efficiencies relative to standard synthetic polycations, as well as have reduced toxicities due to their inherent degradation into benign by-products. The results of this work are anticipated to provide the growing field of gene therapy with fundamental insight towards the design of polymers for DNA delivery.

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Faculty Supervisor:

Harald Stover

Student:

Partner:

Fraunhofer Institute for Cell Therapy and Immunology IZI

Discipline:

Life Sciences

Sector:

Nanotechnology; Life Sciences (not health); Other

University:

McMaster University

Program:

Globalink Research Award

Accelerating audio matching on multicore machines

The multiple audio sequences matching problem can be regarded as a pattern identification problem with inputs of multiple highly fragmented audio sequences. Singular Software develops a product which employs a model-based alignment algorithm to match audio sequences on a common time line to solve this problem. This product relies on computationally intensive mathematical operations such as FFT and maximum log likelihood calculation for different models, which limit the performance. This project aims to explore the feasibility and the tradeoffs involved with accelerating audio sequence matching algorithms on multicore processors. This project will explore acceleration using ‘traditional’ multicore CPUs and massively-parallel Graphics Processing Units (GPUs)

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Faculty Supervisor:

Matei Ripeanu

Student:

Partner:

Singular Software

Discipline:

Computer science

Sector:

Information and cultural industries

University:

The University of British Columbia

Program:

Accelerate

Self reporting Tookad-Caspase 3-Pyropheophorbide PDT beacon for PDT/fluorescence imaging of cancer

I plan to make a small molecule probe that reacts to specific colors of light, triggering cell death in the illuminated area in a process called Photodynamic Therapy (PDT) as a method to treat cancer. The probe uses a drug currently being investigated in clinical trials called Tookad© soluble for therapy. This probe also has a component that would react to the cell death in the tumor that is fluorescent, meaning that upon illumination with a specific wavelength of light, it will emit light of a slightly longer wavelength which can be detected for monitoring the tumor post-treatment. This probe would allow for both PDT treatment as well as treatment monitoring, meaning this compound can provide therapy and diagnostics all in one.TO BE CONT’D

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Faculty Supervisor:

Xiaosong Wang

Student:

Partner:

The University of Tokyo

Discipline:

Life Sciences

Sector:

Education

University:

University of Waterloo

Program:

Globalink Research Award

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