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

Antibiotic Resistance Surveillance Program

The BC Ministry of Agriculture & Lands (MAL) monitors antimicrobial resistance of bacteria found in chickens, swine, cattle and other farm animals. The program uses a complex sampling scheme to select animals to be tested, and tests for resistance to several different bacteria. For E. coli and Salmonella, resistance and MIC values for 17 anti-microbial agents are collected, and for Campylobacter, for 8 antibiotics. Methods of analysis and presentation need to be developed to summarize the data using appropriate statistical methodology. Furthermore, statistical methodology needs to be developed to test for trends over time or differences in resistance across regions, origin of the animals or different processing methods.

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Faculty Supervisor:

Dr. Carl Schwarz

Student:

Huanhuan Wu

Partner:

BC Ministry of Agriculture and Lands

Discipline:

Statistics / Actuarial sciences

Sector:

Agriculture

University:

Simon Fraser University

Program:

Accelerate

Wireless Architectures for Smart Networked Toys

Cistel Technology Inc. is a progressive information technology (IT) services company with a long-standing relationship in the high tech sector and the Federal Government. This internship proposal has both a research and a development component. The research component will concentrate on accessing methods under the IEEE 805.15 protocol that will be used in the prototypes of the smart wireless toys. The access part involves both scheduling of the nodes (toys) in order to interact in an efficient well-controlled manner, and also issues on interference at the physical layer. The intern will conduct research on scheduling algorithms using basic mathematics from queuing theory. Regarding the interference, the intern plans to use a hybrid technique that involves both direct sequence spread spectrum in combination with a slow frequency hopping scheme. The development portion of the project involves software that has to enable the communication among smart wireless nodes (toys) and their connectivity to Internet for upgrades and reconfiguration.

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Faculty Supervisor:

Dr. Ioannis Lambadaris

Student:

Abdallah Ismail

Partner:

Cistel Technology Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Carleton University

Program:

Accelerate

The Transitions in Cognitive and Functional Status of People with Mild-Moderate Alzheimer’s Disease Treated by Galantamine: A Retrospective Study

The intern’s project aims to investigate how cognitive and functional abilities of patients treated for mild/moderate Alzheimer’s disease (AD) change over time. Despite of neurodegenerative nature of AD, these changes might occur in every direction. According to our preliminary investigation, both improvement and worsening are possible. We will compare the long-term changes during 48 months of the follow-up and identify the probabilities of any change over a short-term (1 year) and a longer-term (4 years) follow-up.

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Faculty Supervisor:

Dr. Arnold Mitnitski

Student:

Melanie Abeysundera

Partner:

QEII Health Sciences Centre

Discipline:

Mathematics

Sector:

Life sciences

University:

Dalhousie University

Program:

Accelerate

Precise Calculation of Brain Atrophy Due to Focal Lesions in MS Patients: Modification of Non-linear Registration Algorithm

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. This internship research project will involve image processing to quantify local volume changes in serial MR images of the brain based on deformation field analysis using techniques that are relatively independent of pathological changes in image intensity.

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Faculty Supervisor:

Dr. Louis Collins

Student:

Elias Gedamu

Partner:

NeuroRx Research Inc.

Discipline:

Medicine

Sector:

Life sciences

University:

McGill University

Program:

Accelerate

Numerical Modelling of a Gasifier Biomass Bed

Vidir Machine Inc. is a manufacturer of custom agricultural and industrial machinery in rural Manitoba with a keen interest in green energy and environmental applications. Thus, a gasifier bed model will be developed to predict the oxidizing reactions occurring inside a straw gasifier. This model will then be integrated into an overall gasifier model to predict the process parameters inside a two-stage gasifier. This model will be used to optimize the air control system and provide a method to develop a feedback control loop on the primary and secondary air system. The bed model will be developed by assuming the straw is only moved by mechanical mixing and of variable compactness. The bed will be assumed as a porous media with the appropriate correction in the momentum equation for the added pressure loss term and the reduction in flow area.

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Faculty Supervisor:

Dr. Eric Bibeau

Student:

Jeremy Michael Langner

Partner:

Vidir Machine Inc.

Discipline:

Engineering

Sector:

Alternative energy

University:

University of Manitoba

Program:

Accelerate

Modelling Energy Prices

Direct Energy is a leading retailer of energy and energy solutions for both residential and business customers in North America. In partnership with the company, the intern will work on energy data mining and analyses using gas and power data. The intern’s analyses will include analysis of natural gas storage and its impact (if any) on price momentum, the relationship between power and gas (heat-rate analysis) and some fundamental analysis such as relationships between HDD, storage gas, basis and fixed prices.

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Faculty Supervisor:

Dr. Anatoliy Swishchuk

Student:

Matt Lyle

Partner:

Direct Energy

Discipline:

Mathematics

Sector:

Energy

University:

University of Calgary

Program:

Accelerate

Imaging System through Coupling of Panoramic Imaging and Retroflexion Imaging Techniques

This project aims to design a new intelligent recognition system by combining panoramic imaging and retroflexion techniques. Panoramic imaging allows the user to project hemispheric 360º vision onto a 2D detector. The project then intends to couple the panoramic image with the retroflexion image. Retroflexion imaging consists in emitting a laser pulse and observing with a camera the return of the pulse after its retroflexion on components. The retroflexion principle helps the user identify different components using their optical signature. Applications of such a project are mainly related to sophisticated surveillance systems in the military, commercial or public security fields.

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Faculty Supervisor:

Dr. Yonlung Sheng

Student:

Michel Auclair

Partner:

Numérica Technologies Inc.

Discipline:

Physics / Astronomy

Sector:

Information and communications technologies

University:

Université Laval

Program:

Accelerate

Improved Sizing of Defects Using Ultrasonic Phased Arrays

Olympus NDT is a world-leading manufacturer of innovative, nondestructive testing instruments that are used in industrial and research applications ranging from aerospace, energy and automotive to consumer products. The primary focus of this internship research is to sharpen images of cracks and imperfections that have developed in oil pipelines to within + 0.5mm using an ultrasonic phased array. Ultrasonic phased arrays are a relatively new technology for industrial testing and currently can size defects and cracks to within + 2mm. Olympus NDT has recently starting producing a portable phased array system known as OMNIScan. Using this system, the intern will take readings and collect data from specimens with known defects. He will then use the data to help create a mathematical model of the system. This model will be refined to a point where it can interpret signals to a higher degree of accuracy. The model will then be integrated in the OMNIScan system software. An imaging system will be developed from enhanced signals to produce a high-resolution picture of each defect.

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Faculty Supervisor:

Dr. A.N. Sinclair

Student:

Luke Wesley

Partner:

Olympus NDT

Discipline:

Engineering

Sector:

Aerospace and defense

University:

University of Toronto

Program:

Accelerate

Family Physician Work Force Projection in Saskatchewan

This project will examine the physician needs in Saskatchewan and will forecast the number of family physicians needed for each health region. Using health regions as a unit of analysis, supply of physician workforce will be estimated in a reduced form. Both demand and supply side factors such as income, demographic characteristics, physician migration and factors capturing substitution among various healthcare inputs will be included as regressors. Using estimated coefficients from the regression analysis, numbers of family physician need will be projected under different hypothetical scenarios including change in population and disease profile or change in physician profiles.

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Faculty Supervisor:

Dr. Nazmi Sari

Student:

Kit Ling Lam

Partner:

Saskatchewan Health

Discipline:

Economics

Sector:

Management of companies and enterprises

University:

University of Saskatchewan

Program:

Accelerate

Detection of Location Finding Using Sensor Networks

Complex Systems focuses on developing the next generation of sensor networks. Detection and location of microwave emitter/reflector using sensor networks have attracted much attention in the sensor and communication communities. Thus, the intern’s research project addresses some important issues in system design for target detection and localization. Detection and localization schemes will be developed and exploited in the designed sensor network. Testing will also be carried out to validate the proposed sensor network for wireless detection and localization.

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Faculty Supervisor:

Dr. Henry Leung

Student:

Xiaoxiang Liu

Partner:

Complex Systems Incorporated

Discipline:

Engineering

Sector:

Information and communications technologies

University:

University of Calgary

Program:

Accelerate

Data Mining in the VISTA Clinical Trials Database

The project aims to apply data mining in the VISTA clinical trails database at the Geriatric Medicine Research Unit. The data contains information about Alzheimer’s disease (AD) patients, some of whom received cholinergic treatment and some of whom did not receive this treatment. Because of the variability of responses to treatment as well as the variability in the course of disease progression, it is difficult to identify the patterns robustly associated with improvement, which is crucial in justifying the choice of treatment. The intern will identify such patterns by analyzing a large amount of qualitative data of video images and applying data mining techniques.

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Faculty Supervisor:

Dr. Arnold Mitnitski

Student:

Peter Zhang

Partner:

QEII Health Sciences Centre

Discipline:

Computer science

Sector:

Pharmaceuticals

University:

Dalhousie University

Program:

Accelerate

Change Detection in Network Data Streams for Alcatel

Alcatel manufactures telecommunications equipment, ranging from telephone handsets to internet routers. The Research & Innovation group within Alcatel is mandated with evaluating new technologies and new ideas that may benefit Alcatel products, thereby benefiting Alcatel’s customers, and ultimately the end users. One current area of research is the ability to detect when the behavior of a stream of traffic has changed, and to then reallocate resources suitable for the changed stream. This collaborative internship project targets algorithm to detect when such a change has occurred, given the restricted computing power available for such features at the router level.

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Faculty Supervisor:

Dr. Evangelos Kranakis

Student:

Yihui Tang

Partner:

Alcatel Canada Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Carleton University

Program:

Accelerate

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