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

Fire Hazard and the Effects of Natural vs Anthropogenic Disturbances on the Early Successional Patterns of ICH Forests in BC

Historical fire suppression and subsequent increases in fuel loading have led to more frequent and damaging forest fires across North America. This has prompted much research into how changing disturbance regimes affect forests and how to manage fires appropriately and in a more natural way. Parks Canada is interested in how disturbance regimes have shifted, how these shifts affect ecosystem function and what this means for management. More specifically, Parks Canada would like to determine that crown and surface fire hazard of different aged stands in the Interior cedar-hemlock (ICH) forests in and around the Mt. Revelstoke and Glacier National Parks in BC. Furthermore, they would like to expand their understanding of successional trajectories in ICH forests following natural and human disturbances in order to predict what types of forests will result from such disturbances. The intern will perform field research to determine the surfaces and crown fire hazards in ICH forests of different ages and stand-initiating disturbances. Vegetation, both understory and overstory, will be quantified in response to forest age and disturbance type. The results from this study will contribute to our understanding of disturbance regimes in the ICH zone and will help to inform future forest management decisions, particularly those associated with fuel management and ecosystem protection.

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Faculty Supervisor:

Dr. Michael Feller

Student:

Britt Corriveau

Partner:

Parks Canada

Discipline:

Forestry

Sector:

Forestry

University:

University of British Columbia

Program:

Accelerate

Development of Statistical Models for Residential Property Assessment in Saskatoon

The Office of the City Assessor is required by the Cities Act to determine the fair value of land and improvements of single family dwellings by applying the residential sales comparison method. Thus, the intern will perform analysis to determine how major factors contribute to the values of properties using newly available data. Such analysis involves developing statistical models for major market areas in Saskatoon, preparing data for statistical analysis, estimation of models and evaluation the models’ performance based on statistical and economic plausibility. Finally, the developed models will be used to calculate fair values for all single family dwellings in Saskatoon.

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Faculty Supervisor:

Dr. Maxym Chaban

Student:

Jiang Li

Partner:

City of Saskatoon

Discipline:

Economics

Sector:

Construction and infrastructure

University:

University of Saskatchewan

Program:

Accelerate

Building on the Understanding of Business Processes Related to Service Provisioning and Service Assurance at Bell Canada

The main goal of this project will be a key contribution to the implementation of the Six Sigma methodology to the service provisioning and service assurance of Bell’s business customers. Six Sigma is an organized and systematic problem-solving method for strategic system improvement and new product and service development. It relies on statistical methods and an approach which dramatically reduces customer-defined defect rates and/or improves key output variables. This methodology will be used to reduce costs and increase profits. Defects may be related to any aspect of customer satisfaction: high product quality, schedule adherence or cost minimization. The primary goal of Six Sigma is to improve customer satisfaction and thereby profitability, by reducing and eliminating defects.

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Faculty Supervisor:

Dr. Jose Garrido

Student:

Alberto Ivan Mendoza Martinez

Partner:

Bell Canada

Discipline:

Mathematics

Sector:

Information and communications technologies

University:

Concordia University

Program:

Accelerate

Residential Construction Material Waste Minimization

The objective of this research is to develop a comprehensive material waste minimization program in order to enhance sustainable development and promote innovation in the residential construction field. The scope of the research will include the identification and detailed examination of the factors that contribute to residential construction material wastes, the investigation of opportunities for automation of existing methods and processes as alternatives to current practices and the implementation of best practice concepts to minimize construction waste in the industry.

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Faculty Supervisor:

Dr. Mohamed Al-Hussein

Student:

Don Mah

Partner:

Landmark Master Builder

Discipline:

Engineering

Sector:

Construction and infrastructure

University:

University of Alberta

Program:

Accelerate

Researching Organic Materials to Control Fruitset of Apples

The project will utilize basic research to understand the target and time of action of the organic materials which will be used to guide the implementation and management plan for a new blossom thinner. The intern will test the efficacy of twenty candidate organic materials to act as blossom thinners and develop a management plan for the application of the materials with respect to timing and concentration at which they should be employed. Thus the project aims to bring basic research to help develop an organically certified product to regulate crop load and biennial bearing which has been identified as a significant issue for apple fruit growers in Nova Scotia.

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Faculty Supervisor:

Dr. Sara V. Good-Avila

Student:

Miriam Monserrat Ferrer-Ortega

Partner:

Nova Scotia Fruit Growers' Association

Discipline:

Biology

Sector:

Agriculture

University:

Acadia University

Program:

Accelerate

Optimization of Learning Performance on Multimedia Items using Machine-learning Methods

Castle Rock Research provides quality curriculum-based educational resources to students, parents and educators, both online and in print. Reinforcement has been well-studied in psychology and proven to be an efficient learning technique. However, learning behavior varies from one individual to another. It is important to understand one’s learning capabilities and response pattern so as to customize the reinforcement process and to optimize the performance of individual learners. Thus, this project applies machine-learning methodology and involves the design of a statistical model to assess student responses with a goal to optimize individual learning performance.

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Faculty Supervisor:

Dr. Irene Cheng

Student:

Alexey Badalov

Partner:

Castle Rock Research Corp.

Discipline:

Computer science

Sector:

Education

University:

University of Alberta

Program:

Accelerate

Numerical Weather Modelling for Predicting Hazardous Situations in Power Transmission Networks

The goal of this internship project is to develop a system for numerical modelling of the weather conditions contributing to the heightened risk of transmission system outages. A regular weather forecasting will be enhanced by specific models of the risk increasing factors, such as strong winds, freezing rain or lightening. The enhanced model will help to identify the time and location where hazardous situations are likely to occur, allowing users to make informed decisions regarding potential risk sectors and planning future expansions of existing transmission networks.

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Faculty Supervisor:

Dr. Petr Musilek

Student:

Dan Arnold

Partner:

BC Transmission Corporation

Discipline:

Engineering

Sector:

Energy

University:

University of Alberta

Program:

Accelerate

Model for Dispersal of the Emerald Ash Borer

For this project, the intern will be building a probabilistic model to predict how an individual emerald ash borer searches for host trees. The emerald ash borer is an exotic beetle which most likely arrived in North America in wood packing material carried in cargo ships. The beetle larvae feed on the inner bark of ash trees, disrupting the tree’s ability to transport water and nutrients. The results of the research will be used in a larger risk model being formulated by the Knowledge Synthesis Group at the Canadian Forest Service. The intern will also build an integro-difference equation model to predict the spatial spread of the emerald ash borer based on results from the probabilistic model. The results of this model will also be used in the formulation of the risk model.

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Faculty Supervisor:

Dr. James Watmough

Student:

Jeff Musgrave

Partner:

Canadian Forest Service

Discipline:

Mathematics

Sector:

Forestry

University:

University of New Brunswick

Program:

Accelerate

Mathematical Modelling of Planing Hull Motions in Waves

In the marine and offshore industry, the safety of small vessels such as life boats and fast rescue crafts is a critical issue to designers, operators and regulation bodies. It concerns not only the reliable design, but also the safe training and operation. Accurate prediction of small vessel motions in waves is essential to the design process. On the training side, it is important to avoid exposing trainees to dangerous and extreme conditions. The ideal solution is high-fidelity simulation which also requires accurate prediction of vessel motion. It is, therefore, important to develop reliable and accurate tools to predict the performance of small vessels in waves. The proposed research involves the development of new mathematical models to compute motions of planing hulls. The developed numerical models will be validated and incorporated in immersive training simulators at Virtual Marine Technology for fast rescues. The research will ultimately improve the safety of life at sea.

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Faculty Supervisor:

Drs. Wei Qiu and Brian Veitch

Student:

Chao Guo

Partner:

Virtual Marine Technology Inc.

Discipline:

Engineering

Sector:

Aerospace and defense

University:

Memorial University of Newfoundland

Program:

Accelerate

Kweh-Kwuch-Hum Archaeological Survey

The intern will assist the Chehalis First Nation by leading the archaeological component of the Kweh-Kwuch-Hum Spiritual Areas and Forest Management Policy Pilot Project. This larger project began in January 2007 when the Chehalis Indian Band entered into discussions with the BC Ministry of Forests and Range regarding the designation of Kweh-Kwuch-Hum (Mt. Woodside) as a “Spiritually Sensitive Area”. A primary goal of this project is to develop a process which supports the establishment of areas that can be demonstrated to be important traditionally, culturally and spiritually. Consequently, the project has the potential to affect social policy broadly in British Columbia. For this larger project, an archaeological inventory of the Kweh-Kwuch-Hum area is required to establish the nature and extent of aboriginal land-use and occupancy of the area. This information, combined with the First Nations’ testimonials of contemporary/traditional cultural and spiritual uses of the area will comprise the tangible evidence required for the Government of British Columbia to make a decision about the future of use of Kweh-Kwuch-Hum.

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Faculty Supervisor:

Dr. Dana Lepofsky

Student:

Patrick Ritchie

Partner:

Chehalis Indian Band

Discipline:

Archaeology

Sector:

University:

Simon Fraser University

Program:

Accelerate

Data Analysis and Hypothesis Testing for Cattle Carcass Data and Single Nucleotide Polymorphisms

Feedlot Health Management Services is a comprehensive beef industry consultancy, providing veterinary services, herd health programs and computerized health-recording systems and other informational tools to producers. Fat yield, lean yield, meat tenderness, carcass marbling and carcass grading are some characteristics of cattle that are measures of beef quality. Thus, the goal of this project is to determine how these characteristics and the genetic makeup of the cattle are correlated with one another. If there are associations with these traits and the DNA of the cattle within specific genes known to be associated with beef quality, management decisions can be made to increase the quality of beef that is produced.

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Faculty Supervisor:

Dr. Elena Braverman

Student:

Reneeta Mamdani

Partner:

Feedlot Health Management Services

Discipline:

Mathematics

Sector:

Agriculture

University:

University of Calgary

Program:

Accelerate

Assessing Ecosystem Health of an Agricultural Watershed Using Insect Condition

Streams become contaminated with pesticides through runoff, groundwater contamination and aerial deposition. Previously, a research team had determined that aquatic insects are negatively affected by insecticides at concentrations that are detected in streams in Atlantic Canada. These concentrations were so low that they were not thought to cause effects. It was found that mayflies were smaller, less fit and always female when exposed to insecticides in artificial streams. In some cases, we saw these effects even at the lowest concentrations (0.1 parts per billion). Thus, the intern will evaluate the combined effects of pesticides and nutrients on real streams in the Grand Falls area of New Brunswick. This work will help the team to evaluate how many mayflies are present in a northern New Brunswick watershed and determine whether changes in size and fitness are cause for concern. Ultimately, change in insect size and diversity will then be related to ongoing mesocosm (artificial stream) experiments. The field measurements will link effects detected in the environment to know stressors, such as individual pesticides and nutrient concentrations. Establishing this baseline is important for developing environmentally-relevant guidelines and improving existing regulations.

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Faculty Supervisor:

Dr. Allen Curry

Student:

Alexa Alexander

Partner:

National Water Research Institute

Discipline:

Biology

Sector:

Environmental industry

University:

University of New Brunswick

Program:

Accelerate