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

Operations on Graphs

The main focus of this internship is to define and optimize geo-spatial operations for spatial queries, coordinate transformations, routing and topological error detection and correction. The intern will define and implement spatial operators on graphs to enable efficient analysis and retrieval of geo-spatial data.

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Faculty Supervisor:

Dr. Richard Froese

Student:

Florina Halasan

Partner:

Galdos Systems Inc.

Discipline:

Mathematics

Sector:

University:

University of British Columbia

Program:

Accelerate

Modelling the Growth and Quality of Crop Trees 20 Years After an Operation of Average Thinning in a Stand of Tolerant Hardwoods in New Brunswick

The goal of this research project is to study the impact of average spacing between trees in terms of the growth and the quality of the trees. This practice, called pre-commercial thinning, was performed at four different spacings of 2.1, 2.3, 2.5, and 2.8m, and an unthinned plot was left as a control. An initial phase of analysis examined separately the effects on the growth and on the quality of the trees. A second phase will focus on the best trees and will examine the residual density which offers the best diameter growth and tree quality. More complex analysis methods will be studied by the intern and later used to reach the prescribed objectives.

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Faculty Supervisor:

Dr. Martin Béland

Student:

Issifi Boureima

Partner:

Forintek Canada Corp

Discipline:

Forestry

Sector:

Forestry

University:

Université de Moncton

Program:

Accelerate

Interaction of Log-Probabilities and Taxonomic Hierarchies

The intern’s project aims to provide a formal mathematical foundation to the weightings applied to terms used to describe complex models (eg mineral deposit models or landslide hazards) when measuring the similarity between models and existing natural phenomena such as mineral occurrences or seemingly dangerous slopes. These weightings are important to correctly matching models with existing natural phenomena, an activity which experts carry out mentally and which GeoReference Online Ltd has implemented on a computer. Correctly matching models with existing natural phenomena using a computer can contribute to more efficient mineral exploration and natural hazard mitigation. The partner, GeoReference Online, develops, markets and applies knowledge-based software for the mineral resources industry, knowledge-based GIS software for application in any field, as well as small general-purpose knowledge-engineering tools.

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Faculty Supervisor:

Dr. David Poole

Student:

Rita Sharma

Partner:

GeoReference Online Ltd.

Discipline:

Computer science

Sector:

University:

University of British Columbia

Program:

Accelerate

Application of Data Smoothing Techniques to Trend Analysis of Large-Scale Survey Data

One of the problems in identifying trends in time series or spatial data is that there are usually so many irregularities or random fluctuations that the underlying trend is difficult to discern. Smoothing techniques can be used to reduce local irregularities (local in the sense of being close in time or geography) so that the underlying trend becomes clear. Although these techniques are widely used in the physical sciences, they are seldom used in the social sciences or in spatial (GIS) applications. During this internship, the intern will examine a range of different smoothing techniques to examine trends in continuous monitoring data collected through Canada’s largest on-line school survey called Tell Them From Me (TTFM). This work will lead to further research in the application of these techniques to smoothing spatial data. Tell Them From Me is the product of the industry partner, the Learning Bar, which creates monitoring and assessment tools for schools.

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Faculty Supervisor:

Dr. J. Douglas Willms

Student:

Richard Chan

Partner:

Learning Bar Inc.

Discipline:

Engineering

Sector:

Information and communications technologies

University:

University of New Brunswick

Program:

Accelerate

An Automated N-Dimensional Brain Tissue and Lesion Classifier in MS Patients using MR Images

NeuroRx is a Montreal, QC-based company which provides professional management of MRI-related study activities and delivers precise MRI outcome measurements that are performed in a regulatory compliant environment. The intern’s project will involve examining the computational issues associated with multi-dimensional analysis, namely, the computational efficiency and memory utilization, while creating an N-dimensional algorithm for segmenting and classifying the different tissue types in the brain (white matter, grey matter and cerebral spinal fluid) as well as white matter lesions.

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Faculty Supervisor:

Dr. Robert Kearney

Student:

Abraham Gedamu

Partner:

NeuroRx Research Inc.

Discipline:

Engineering

Sector:

Life sciences

University:

McGill University

Program:

Accelerate

3D Rendering of Stress, Strain and Shear in TensegriCell Simulations of Cytoskeleton

Frantic Films, headquartered in Winnipeg, MB, has developed a reputation for creating innovative, custom built R&D solutions. The intern’s research project will straddle both the worlds of microbiology and physical simulation in order to create a dynamic, physically-based model of the cytoskeleton within a cell.

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Faculty Supervisor:

Dr. Richard Gordon

Student:

Comron Nouri

Partner:

Frantic Films

Discipline:

Medicine

Sector:

Digital media

University:

University of Manitoba

Program:

Accelerate

3D Breast Microwave Imagery Reconstruction and Focusing

During the last few years, Breast Microwave imaging (BMI) has shown its potential as an alternative technique for breast cancer detection. BMI offers a variety of features, such as a high contrast between cancer and breast tissue and non-compressive image acquisition procedures which would make its use desirable in a clinical environment. Due to the fact that target reflections present different travel times and the collected data is a function of the arrival time and scan location, the recorded responses must be reconstructed in order to be properly visualized and interpreted. Thus, the intern’s research objective is the development of a frequency domain reconstruction algorithm for BMI data acquired along a 3D trajectory. Testing of the 3D reconstruction method is intended as well in order to evaluate its potential capabilities and limitations.

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Faculty Supervisor:

Dr. Gabriel Thomas

Student:

Daniel Flores Tapia

Partner:

CancerCare Manitoba

Discipline:

Engineering

Sector:

Life sciences

University:

University of Manitoba

Program:

Accelerate

Sampling Plans and Analysis Strategies for Environmental Assessment of Diamond Mine Impacts in Northern Canada

Rescan Environmental Services has conducted an extended aquatic effects monitoring survey as part of the environmental assessment of the diamond mine operations in northern Canada. Yearly water and sediment samples have been taken over the past 12 years at reference lakes (those not affected by mine operations) and impact lakes (lying in a downstream gradient from the containment facility). This proposal will examine three issues related to the environmental assessment namely 1) How representative are single samples taken from a lake of the variation in water quality and sediment loading parameters across the lake; 2) How to best incorporate the multiple years of data that accounts for the correlation across time and lakes; and 3) How to summarize very complex data on community structure of biological information in a form that is readily accessible to non-experts.

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Faculty Supervisor:

Dr. Carl Schwarz

Student:

Simon Bonner

Partner:

Rescan Environmental Services Ltd.

Discipline:

Statistics / Actuarial sciences

Sector:

Mining and quarrying

University:

Simon Fraser University

Program:

Accelerate

Real-time Animation of Deformable Objects for Computer Games

Radical Entertainment is a video game developer which creates and develops games for all current and next generation platforms. Each year, computer games become graphically more realistic due to advances in computer technology and animation. The object of this project is simulation of deformable objects (such as a mattress or jelly-like substances) in real-time for computer gaming purposes. The equations of motion for such objects is quite different and more difficult to solve than those used for rigid bodies. We will research the existing models used in computer graphics, implement some of the promising techniques and compare them to the simple method of simulating deformable objects by particle systems.

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Faculty Supervisor:

Dr. Steven Ruuth

Student:

Pouya Bastani

Partner:

Radical Entertainment

Discipline:

Computer science

Sector:

Digital media

University:

Simon Fraser University

Program:

Accelerate

Large-scale Physical Factors Associated with the 1999 – 2005 Canadian Prairie Drought

Droughts are among Canada’s costliest natural disasters, having major impacts on a wide range of sectors including agriculture, forestry, industry, municipalities, recreation and aquatic ecosystems. The 1999 – 2005 Canadian Prairie drought was the worst drought in at least 100 years in parts of the region and caused considerable environmental and economic hardship. Although much is known about droughts, there is still no complete understanding of why they occur. The Drought Research Initiative Network brings together many university and federal/provincial government researchers to study various aspects of drought. This proposed project will contribute to the Network by gathering and analyzing data to help identify the factors that contributed to the initiation, persistence and termination of the 1999 – 2005 Canadian Prairie drought.

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Faculty Supervisor:

Dr. Raymond Spiteri

Student:

Jerry Kermack

Partner:

Environment Canada

Discipline:

Computer science

Sector:

University:

University of Saskatchewan

Program:

Accelerate

Insolvency Prediction of Property and Casualty Insurers

The intern will study possible enhancements to insolvency prediction models of the partner company. Her study will extend the previous models by combining macroeconomic market information and firm-specific information to identify firms facing possible financial trouble. The results of the study will provide helpful information for the company’s surveillance efforts to prevent insolvency or reduce the costs of insolvency for PACICC.

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Faculty Supervisor:

Norma Nielson

Student:

Li Zhang

Partner:

Property and Casualty Insurance Compensation Corporation

Discipline:

Business

Sector:

Finance, insurance and business

University:

University of Calgary

Program:

Accelerate

Implementation of 3D Grid Movement Algorithms

This project involves the development and integration of mesh movement algorithms with the analysis software at Bombardier Aerospace. The algorithms are used to conform the volume mesh to the geometry as it evolves in an optimization cycle or in aero-elasticity analyses.

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Faculty Supervisor:

Dr. David Zingg

Student:

Anh Truong

Partner:

Bombardier Aerospace

Discipline:

Engineering

Sector:

Aerospace and defense

University:

University of Toronto

Program:

Accelerate

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