Innovative Projects Realized

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

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Lie Algebra Image Processing Applied to Intrinsic Optical Imaging

Optical imaging and the underlying image analysis has seen tremendous progress in recent years. Although it is now possible to perform multi-modal acquisition, the analysis frameworks for multi-modal data remain elusive. For example, the different scales and resolutions at which the images are taken require the use of mathematical techniques to deform, analyze and co-register images in a coherent framework. In parallel, J. Patera and his research group have, over the last few years, developed new Lie Algebra-based techniques to process images and perform continuous operations on them. In particular, it is possible, with these mathematical tools, to perform image interpolation, zooming through a continuous extension of the image. In order to do this, two main challenges must be resolved and will be addressed in this internship. First, the application of these transforms to specific images originating from optical imaging (i.e. having specific features) will be done to characterize the ability of the technique to describe the underlying physiological data. Second, a coherent modelization of light propagation in MRI segmented tissues will be developed with the functional space originating from Lie Algebra.

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Faculty Supervisor:

Dr. Frédéric Lesage

Student:

Nicolas Brieu

Partner:

Centre de Recherche de l’Institut de Gériatrie de Montréal

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Polytechnique Montréal

Program:

Accelerate

Insurance Pricing with Proprietary Information

Information regarding the likelihood and severity of automobile accidents for individual insurance consumers enables insurance companies to price insurance policies. The more accurate and predictive the data, the more accurate and fair insurance prices are. Modern advances, such as telematics technology, allow insurers to improve the quality of their information. This improved information has an efficiency-enhancing effect on the personal automobile insurance market which makes both insurers and consumers better off. Thus, this research project will develop a mathematical model, in collaboration with AVIVA, a leading property and casualty insurance group in Canada and provider of home, automobile and business insurance, to aid insurers with improving the efficiency of insurance markets.

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Faculty Supervisor:

Dr. Norma Nielson

Student:

Jason Strauss

Partner:

AVIVA Canada

Discipline:

Economics

Sector:

Finance, insurance and business

University:

University of Calgary

Program:

Accelerate

Effect of Pore Pressure Migration on Slope Stability: A Case History

A 150m high mine slope has been subject to movement, requiring the mine to reduce the slope steepness while extensive investigation and analysis is undertaken. This reduction in ore production has major implications for the economical viability of the mine. Golder & Associates, the engineer for the mining company, has numerically modelled the slope using available commercial software; however, commercially available soil behaviour models have proved inadequate, in part because changing pore water pressure in the slope body is suspected to be a main factor in the slope deformations and the commercial soil models do not accurately represent this. Hence, a model which can realistically capture soil behaviour, including pore pressure generation, needs to be implemented within commercial software. Thus, the proposed research aims to calibrate and verify the advanced “NorSand” soil model and use it to analyze the behaviour of a mine slope. The role of pore water pressure in the mechanical behaviour of the slope will be investigated also.

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Faculty Supervisor:

Dr. Dawn Shuttle

Student:

Mohsen Ghafghazi

Partner:

Golder Associates

Discipline:

Sector:

Mining and quarrying

University:

University of British Columbia

Program:

Accelerate

Development of Production Planning Models

The Scotsburn Dairy Group produces over 300 ice cream products for many customers in a highly variable, seasonable market. Currently, no software packages exist in the market to help small to medium-sized dairies manage their production planning and scheduling. By working with Scotsburn, a production scheduling tool will be created which is tailored to the complex needs of a dairy production facility. This tool will help Scotsburn to plan their production efficiently and effective to make the most of the capacity and remain competitive.

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Faculty Supervisor:

Dr. Corinne MacDonald

Student:

Andrea Cameron

Partner:

Scotsburn Dairy Group

Discipline:

Engineering

Sector:

Manufacturing

University:

Dalhousie University

Program:

Accelerate

Cryptographic Security Solution for Laptops

In their various versions (XP, 2003, Vista, Longhorn), Windows operating systems offer different cryptographic security technologies for data such as Encrypted File System and BitLocker. The capabilities of these tools depend on the presence of hardware modules for example, the Trusted Platform Module. The aim of this project is to complete a comprehensive study of the usage made of these technologies so that step-by-step tutorials can be prepared to guide users of these technological tools as per requirements. Finally, a prototype of a Wizard style application will be created for implementing the tutorials.

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Faculty Supervisor:

Dr. José Fernandez

Student:

Daniel Boteanu

Partner:

Okiok Data

Discipline:

Engineering

Sector:

Information and communications technologies

University:

Polytechnique Montréal

Program:

Accelerate

Computer Modelling of DC Plasma Torches with Draught Air in a Gasification Reactor

The use of plasma torches enables the gasification of waste into clean energy without producing any secondary residue. Because of the extremely high temperatures produced by plasma torches (more than 5,000 to 10,000 degrees Celsius depending on the type of gas used), the design of plasma torches and reactors presents new technological challenges to designers. Computer modelling of the plasma jet and gasification reactor will provide the basic data required for designing new equipment.

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Faculty Supervisor:

Dr. Jean-Luc Meunier

Student:

Liping Guo

Partner:

PyroGenesis Inc.

Discipline:

Engineering - computer / electrical

Sector:

Alternative energy

University:

McGill University

Program:

Accelerate

Analysis and Classification of Data from 3D Morpho-Functional Assessments

The digital and bio-mechanical analysis of human motion is an attractive research field as it helps one understand and interpret pathologies affecting the body’s articular components. The goal of this project is to develop data analysis and automatic classification methods to differentiate between data from asymptomatic and pathological individuals. The data will be drawn from 3D morpho-functional assessments. Developed methods could eventually be considered for the creation of decision support and pathology diagnosis tools.

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Faculty Supervisor:

Dr. Jacques A. de Guise

Student:

Neila Mezghani

Partner:

Emovi Inc.

Discipline:

Mathematics

Sector:

Medical devices

University:

École de technologie supérieure

Program:

Accelerate

A Mathematical Framework for Modelling Forest Fire Spread

Computer prediction models for forest fires are of great value to wildfire management. The goal of this project is to analyze the mathematical model used by the Wildfire Science Unit in their Prometheus fire prediction software package. In particular, the internship will work on the development of a robust software package which includes 3-D features such as valleys and ridges. Such a software extension will require a detailed analysis of the 3-D equations used in the package which govern fire propagation. The intern will also work on converting these equations to a form capable of being implemented into the Prometheus software.

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Faculty Supervisor:

Dr. Thomas Hillen

Student:

Jonathan Martin

Partner:

Government of Alberta

Discipline:

Mathematics

Sector:

Forestry

University:

University of Alberta

Program:

Accelerate

Prediction of Complex Molecule Structures with HDX Mass Spectrometry-guided Molecular Dynamics Simulations Part II – Generalization and Parametrization

Hydrogen/deuterium exchange mass spectrometry (HDX-MS) is a powerful emerging experimental technique which provides important information about the solvent exposed area of complex molecular systems that is not readily available through existing technologies. HDX-MS can be applied to the specific cases of small molecules binding to protein systems, which is very important for the understanding, and new design, of therapeutic compounds, including chemotherapeutic cancer drugs. However, the HDX-MS technique does not provide high-resolution atomic information which is a major inadequacy of the method. The standard computational chemistry techniques of Molecular Dynamics (MD) simulation gives exactly the high-resolution structures required. Using MD simulations guided by HDX-MS data, a method for the production of high-resolution structures based on HDX-MS data is being developed. The research in this internship, in partnership with MDS Analytical Technologies, a leading global supplier of life sciences tools, will take a previously-developed framework for the MD simulations and generalize it for new application to the set of all standard proteins.

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Faculty Supervisor:

Dr. Mariusz Klobukowski

Student:

Evan Kelly

Partner:

MDS Analytical Technologies

Discipline:

Chemistry

Sector:

Medical devices

University:

University of Alberta

Program:

Accelerate

Development of a Temperature-dependant Elastoplastic Constitutive Model for Metals and Alloys

The test characterization of the stress-strain relationship and the fatigue/failure behaviour under combined mechanical-thermal cyclic loadings for pressure vessels in the petrochemical industry is quite expensive and time consuming. An alternative approach is the finite element numerical analysis which requires an accurate and reliable mathematical constitutive model for the metallic materials. In this project, a temperature-dependent elastoplastic material model will be developed. The model is capable of capturing the accumulated ratcheting strain which is vital to the fatigue and failure of pressure vessels under severe mechanical loading and thermal cycles. This investigation will result in more realistic analysis and design tools for more robust pressure vessels as well as more effective improvements in operation and maintenance of existing facilities for extending their service life.

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Faculty Supervisor:

Dr. Zihui Xia

Student:

Yunfa Zhang

Partner:

American Society of Mechanical Engineers

Discipline:

Engineering

Sector:

Oil and gas

University:

University of Alberta

Program:

Accelerate

Usability of a Vessel Compressibility Characterization Systems Using Ultrasound Imaging

A system for the detection of deep vein thrombosis (DVT), a disease where blood clots form in the legs, has been developed by the student and his supervisors at UBC. The current project is aimed at determining an approach using pre-screening criteria to evaluate the system in a clinical setting without having to examine hundreds of patients to obtain reliable results, as a consequence of the low incidence of the disease. In addition, the proposed research aims to determine the usability of the system by a broad spectrum of users, to determine its adequacy as a screening system for DVT by users with varying degrees of experience.

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Faculty Supervisor:

Dr. Tim E. Salcudean

Student:

Julian Guerrero

Partner:

Western Clinical Engineering Ltd.

Discipline:

Engineering

Sector:

Life sciences

University:

University of British Columbia

Program:

Accelerate

SQWhere.com: Designing a User-interface Using Hyper-Local Contextual Knowledge to (Re)Construct a Community Building Gathering Space

SQWhere.com is a Vancouver-based local platform that will be made accessible via an online website and through mobile phones. The SQWhere.com platform provides web tools that use mapping, tagging, search and transaction systems thus enabling social interactions and information exchange. The graphical user interface for the SQWhere.com platform which allows users to engage and navigate the application has yet to be defined or created. Thus, the intern will research, define and create the framework for the information architecture and visual design of the graphic user interface to positively impact the overall user experience.

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Faculty Supervisor:

Dr. Ron Burnett & Dr. Maria Lantin

Student:

David Humphrey

Partner:

Elastic Entertainment

Discipline:

Architecture and design

Sector:

Digital media

University:

Program:

Accelerate

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