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
BC
812
MB
673
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842
SK
8957
ON
9368
QC
96
PE
579
NB
1120
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Projects by Category

Determination of stress-induced modifications to vaccine proteins by mass spectrometry

The therapeutic effect of a vaccine depends on its chemical composition, and in particular the integrity of its protein components. Conditions under which a vaccine is manufactured and stored can damage the proteins it contains; however, since proteins are structurally complex and reactive, their degradation during routine handling is unpredictable. In the project described here, three candidate vaccine products will be subjected to models of manufacture and storage in order to induce chemical changes within them in a controlled manner. Subsequent to this treatment, chemical changes in the vaccine proteins will be measured using advanced analytical instrumentation. The intent of this experimentation is to identify, and ultimately mitigate, the chemical basis of vaccine efficacy loss. This partnership will leverage expertise in vaccine development at Sanofi Pasteur and expertise in protein analysis at York University. An understanding of the changes that occur within vaccines under defined handling conditions will inform better production and storage practices.

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Faculty Supervisor:

Alan Hopkinson

Student:

Partner:

Sanofi

Discipline:

Life Sciences

Sector:

Pharmaceuticals; Health and Related Sciences & Technology; Manufacturing and Construction

University:

York University

Program:

Accelerate

Pediatric brain atlas for segmentation of sub-cortical structures in MRI of children with benign epilepsy with centrotemporal spikes

In Canada, Epilepsy affects approximately 3 to 6 children per 1000 aged from 0 to 15 years in the overall population. Fifteen to 25% of these children have benign epilepsy with centrotemporal spikes (BECTS), making BECTS the most common benign childhood focal epileptic syndrome. Studies have found cognitive and behavioral deficits, which may well persist even after remission. Given neurocognitive differences among children with BECTS and normal controls, subtle morphometric variations in brain structures are also present in these patients. In this respect, proposing advanced neuroimaging methods, which would allow for quantitative assessment of variations in brain morphology could lead to accurate detection of the pathology. In this research project, we aim to automatically detect the neuroanatomic variations related to BECTS in children by segmenting sub-cortical structures and analyzing these structures for morphological differences. This project will develop, an MRI pediatric brain atlas to accurately segment structures in the basal ganglia. From a clinical perspective, the proposed method can contribute to the diagnosis of BECTS in children, and use as a complementary technique to EEG for identifying epilepsy.

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Faculty Supervisor:

Samuel Kadoury

Student:

Partner:

Inria Saclay - Île-de-France Research Centre

Discipline:

Computer science

Sector:

University:

École Polytechnique de Montréal

Program:

Globalink Research Award

Negotiating in the Shadows

The research will examine the way in which marginalized communities are able to negotiate access to essential conditions of life such as water and housing. Infrastructure development and consumption patterns have failed to adapt to rapid economic growth and urban expansion. This has created an inequitable rift between social groups, with marginalized groups such as migrant and informal workers having more difficult access to essential services. The research will provide policymakers with a portrait of the social and life conditions of marginalized and migrant workers with the objective of creating policy to address the widening gaps between economic groups.

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Faculty Supervisor:

Lisa Drummond

Student:

Partner:

Vietnam National University

Discipline:

Sociology

Sector:

Education

University:

York University

Program:

Globalink Research Award

Fluorescence Image Enhancement for Digital Pathology (DP) Scanners

Fluorescence imaging is a powerful technique to focus and acquire high-resolution pathology images that contain rich sources of information that is useful for diagnostics in clinical trials to study possible disease such as cancer glands and tumors. Despite the high definition images, the collected images are severely contaminated with noise artifacts which make most feature detection algorithms susceptible to such degradations. Besides, due to over-sized problem, a computational efficient algorithm is needed to process such data. The main objective of this proposal is to introduce an image analysis software that is capable of addressing two main challenges: first is to introduce a denoising algorithm to overcome both issues of low signal-to-noise-ratio (SNR) and super-resolution problem. The second goal here is to localized tissues in fluorescence images for segmentation. This makes the storage of the data much more efficient in compressed format for any retrieval image processing tasks.

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Faculty Supervisor:

Konstantinos (Kostas) Plataniotis

Student:

Partner:

Huron Digital Pathology2;University of Toronto

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Incorporation of biosolids from municipal wastewater processing facilities into Lipid-to-Hydrocarbon (L TH) methodologies for production of biofuels

Biosolids, the materials produced during treatment of sewage sludge, are produced in extremely large amounts each day in every town and city across the globe. This material contains significant amounts of bacteria, viruses, and parasites that can be detrimental to human heath and must be carefully disposed. Added to this, there are currently few uses for biosolids even after sterilization. Municipalities around the world, including our partners with The City of Edmonton, are eagerly looking for novel and innovative technologies that will consume biosolids. To this end, our interns along with our industry partner, Forge Hydrocarbons Inc., will utilize biosolids in a Lipid-to-Hydrocarbon (LTH) technology that utilizes high temperatures and pressures. This technology will simultaneously sterilize the biosolids and transform the fats and oils contained within biosolids to fuels such as gasoline, diesel, and jet fuel. These fuels can be used in conventions engines on the market today. Our research will potentially reveal a novel and lucrative method to convert waste material to value added biofuels and solvents.

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Faculty Supervisor:

David Bressler

Student:

Partner:

Forge Hydrocarbons Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Alberta

Program:

Accelerate

Mathematical Models of cell invasion types emerging from phenotypic and environmental heterogene

The building blocks of multicellular organisms such as humans are cells, vessels and protein fibers. Cell migrations are instrumental in the development and maintenance of multicellular organisms (such as wound healing). Aberrant cellular migrations are important in many
pathological conditions, for instance in cancer. The majority of cancer related deaths (80-90%) are caused by spread of cancer cells to distant organs. This is called metastasis. The detailed mathematical modeling of cell invasions will allow us to better grasp the formation of
multicellular organisms as well as pathological situations such as cancer. In cancer a sophisticated mathematical model will enable us to target invasion with therapies. Model assisted therapies might enable us in the future to reduce metastatic loads in patients.

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Faculty Supervisor:

Thomas Hillen

Student:

Partner:

Inria Paris - Rocquencourt Research Centre

Discipline:

Mathematics

Sector:

University:

University of Alberta

Program:

Globalink Research Award

Experimental and Numerical Investigations of a Rice Husk Pyrolysis Reactor

A rice husk pyrolysis reactor producing syngas and char was developed by GreenGenTech Energy Inc. (Ottawa, ON) and is currently being built and commercialized in China by a partner company called Ruizhantai. The reactor is fully functional and some sites have been running continuously for two years, although requiring skillful operation during start-up or when agglomeration of husk occurs. Aiming at optimized and more automatically controlled operations, GreenGenTech Energy Inc. wishes to perform temperature measurements to characterize the performance of the reactors (in terms of the quality of syngas and char output). In additional, preliminary numerical simulations will be performed to better understand the physics inside the reactor. This is the start of a long term collaboration. This collaboration will give GreenGenTech Energy Inc. a competitive advantage to optimize current technology of pyrolysis reactors as well as expand their usage towards a variety of biomass waste (for example, waste from wood mills, straw, etc.), which will result in revenue generation for the company, expansion, and job creation in Ontario.

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Faculty Supervisor:

Edgar Matida

Student:

Partner:

GreenGenTech Energy Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Hyperspectral image analysis of skin erythema after radiation therapy

Acute skin erythema is a common side effect with patients undergoing radiotherapy treatment. It displays itself as an increase in skin redness and irritation. Erythema has been reported to correlate to individual patient response to radiation and therefore may be useful to guide and modify courses of treatment in a timely manner. Currently, upon visual examination, a qualitative score can be assigned to characterize the severity of erythema, which then may be used for assessing radiation response. As this clinical assessment is not a quantitative measure and in fact is a highly subjective one, we aim to develop an alternative objective measure to accurately quantify skin erythema. This project is aimed to use data from a new hyperspectral imaging technology developed at McMaster University in Canada and to propose relevant image analysis algorithms that can precisely quantify skin erythema and objectively correlate this phenomenon to
radiation response.

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Faculty Supervisor:

Mark Drew

Student:

Partner:

Inria Sophia Antipolis - Méditerranée Research Centre

Discipline:

Engineering

Sector:

Education

University:

Simon Fraser University

Program:

Globalink Research Award

Task-optimized parallel manipulators

This research focuses on the optimization of parallel mechanisms, a specific class of robotic mechanisms, such that an optimal design guarantees that a desired task, having certain requirements, is able to be completed by the mechanism. The Inria Sophia Antipolis Coprin
project (now the Hephaistos project) have worked on the development of interval analysis algebraic geometry tools. These tools greatly extend the possibilities of improving both the analysis and optimization algorithms used in this research, providing guaranteed results. The
application of such tools is very exciting since it may be possible to verify that a resulting design is indeed optimal. The outcome from this research project will be the development of a set of interval-based algorithms for the optimal determination of a parallel mechanism for a
desired task.

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Faculty Supervisor:

Juan Carretero

Student:

Partner:

Inria Sophia Antipolis - Méditerranée Research Centre

Discipline:

Engineering

Sector:

Education

University:

University of New Brunswick

Program:

Globalink Research Award

Designing Interaction for Token Based Physical Visualizations

This project explores the design of different manual and semi-automatic instruments to support interaction with token-based physical data visualizations (or physicalizations). The recent advance in digital fabrication has made data physicalization – encoding data in the geometry or material properties of a physical artifact – a growing research interest in the information visualization community. However, interaction with data physicalizations still remains a challenge and most existing examples to date remain static. The objective of this project is the
development of several instruments that facilitate the interaction with token-based physicalizations and evaluate their effectiveness. We will further explore which material and physical properties (e.g. weight, friction, form, size) can be used to represent data and support
interaction with the instruments we develop. Our hypothesis is that the use of manual and semiautomatic tools can improve the efficiency of interacting with token-based physicalizations and support standard data operations (e.g. selection, filtering, and aggregation).

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Faculty Supervisor:

Sheelagh Carpendale

Student:

Partner:

Inria Saclay - Île-de-France Research Centre

Discipline:

Computer science

Sector:

University:

University of Calgary

Program:

Globalink Research Award

Human Performance of Finger Identification for Multitouch Input

The project first aims at developing a robust and low latency hardware system for identifying which fingers are in contact with a surface. The second objective is to implement and refine finger identification interaction techniques that would improve the interaction with touch surfaces
(smart phone, tablets, tabletops). These techniques will be evaluated to state of the art interaction techniques in controlled experiments. The expected outcomes are the development of the most robust and low latency finger identification prototype to date. This prototype will
allow running the first studies for measuring the quantitative and qualitative benefits of this rich information input space.

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Faculty Supervisor:

Daniel Vogel

Student:

Partner:

Inria Lille - Nord Europe Research Centre

Discipline:

Computer science

Sector:

University:

University of Waterloo

Program:

Globalink Research Award

Multivariate polynomial interpolation: efficient algorithms and applications

This research project aims at providing efficient methods to solve a mathematical problem which has practical applications in digital communication and online storage. In the domain of communications, these methods perform the decoding stage of some error-correcting codes, which are used to ensure reliable data transmission over an unreliable or noisy communication channel such as in Digital Video Broadcasting (digital television), or when reading Blu-Ray discs or bar codes. Concerning storage, the methods are used in private information retrieval, which refers to techniques that allow the user to retrieve information from an online database without letting the server know the keywords that were used to search for this information; this has applications such as anonymous email, or domain name registration. With the steady growth of the size of the manipulated data, conceiving efficient methods for such practical problems becomes crucial; it requires both a thorough theoretical study, which is already partially done in our case, and a careful implementation relying on state-of-the-art building blocks for its most basic components.

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Faculty Supervisor:

Éric Schost

Student:

Partner:

Inria Grenoble - Rhône-Alpes Research Centre

Discipline:

Computer science

Sector:

University:

University of Waterloo

Program:

Globalink Research Award

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