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

Mathematical and Computational Analysis of Shape from MR Images for the Study of Multiple Sclerosis

Everyday, three Canadians are diagnosed with multiple sclerosis (MS), which affects the brain and spinal cord, causing lesions and atrophy. MS produces deformation in the central nervous system, causing disability and in extreme cases, death. In the human brain, one of the many structures affected by MS is the corpus collosum. The corpus collosum contains millions of nerve bundles which connect the two brain hemispheres by acting as a bridge for the inter-hemispheric communication. Deformation of the corpus collosum, therefore, causes disruption of nerve impulses along the nerve fibres. Mathematical and computational analysis of the corpus collosum’s shape deformation, in serial studies, is a good metric for calculating the progression of MS in patients. Today, magnetic resonance imaging, or MRI, is widely considered a key tool for structural and functional imaging of the anatomy of the human brain. This research project will study medical image analysis techniques, algorithms and tools for better shape analysis of the corpus collosum in MRI’s.

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Faculty Supervisor:

Dr. Ghassan Hamarneh

Student:

Omer Ishaq

Partner:

MS/MRI Research Group UBC

Discipline:

Computer science

Sector:

Life sciences

University:

Simon Fraser University

Program:

Accelerate

Investigation and Development of Globally Convergent Methods for Solving Multiple Non-Linear Functions

Aurel Systems Inc. offers a commercial dynamic process simulation program called CADSIM Plus™ (www.aurelsystems.com). At several places in the program sets of nonlinear equations must be solved or nonlinear functions must be minimized (for example, solving pressure flow networks, solving for independent variables given sets of user defined dependent variables, solving for both temperatures on a heat exchanger with condensation or flash). The intern’s research project involved investigating various mathematical algorithms and developing a suite of general optimization routines which had to be integrated with the CADSIM Plus™ simulator. The over-arching goal of the project was to improve the robustness, run-time speed and accuracy of CADSIM Plus™. During the internship, the research team implemented many different types of optimization techniques in CADSIM Plus™ to test for suitability. The research resulted in a deepened understanding of the challenges faced by the company in terms of the types of mathematical optimization techniques that will need to be investigated. Further research will be conducted into optimization methods that can accommodate a moving target and physical limits including multi-variable process control.

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Faculty Supervisor:

Dr. Manfred Trummer

Student:

Qingguo Li

Partner:

Aurel Systems Inc.

Discipline:

Mathematics

Sector:

Information and communications technologies

University:

Simon Fraser University

Program:

Accelerate

Geostatistical Modelling of Variability and Uncertainty for Natural Attenuation at Upstream Oil & Gas Contaminated Sites

The intern will work on quantifying inherent uncertainties associated with natural attenuation of organic contaminants at upstream oil and gas contaminated sites. Uncertainty and variability in parameters such as hydraulic conductivity, biodegradation rate constant and spatial distribution of the source of contaminants may lead to highly uncertain results to be obtained from routine fate and transport models. Thus, there is a need to quantify these uncertainties and study their impact on the predicted plume size and clean up time. During his internship period, the intern will have the opportunity to gain insight into practical issues associated with his modeling work, including practical determination of parameters required in bounding the problem, considering their spatial and temporal variability.

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Faculty Supervisor:

Dr. Kevin W. Biggar

Student:

Amir Hosseini

Partner:

WorleyParsons Komex

Discipline:

Engineering

Sector:

Oil and gas

University:

University of Alberta

Program:

Accelerate

Estimating of Survival and Travel Times of Radio-tagged Fish in the Pacific Ocean Shelf Tracking (POST) Project

The Pacific Ocean Shelf Tracking (www.postcoml.org) project is part of the Census of Marine Life study. Radio-transmitters are surgically implanted into fish (e.g. salmon smolt) and are tracked during their migration by a series of listening lines along the ocean shelf. This project will estimate survival rates as a function of time since release and distance traveled for fish as they migrate past these listening lines.

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Faculty Supervisor:

Dr. Tim Schwartz

Student:

Saman Muthukamarana

Partner:

Vancouver Aquarium

Discipline:

Statistics / Actuarial sciences

Sector:

Fisheries and wildlife

University:

Simon Fraser University

Program:

Accelerate

Efficient Calculation of Greeks for Interest Rate Exotics Using the BGM Pricing Model

QUIC Financial Technologies produces software used in the pricing of contracts in financial markets. Such software is based on mathematical models. In turn these models must be calibrated to market data. The sensitivity of the prices given by the models to small changes in the input parameters, that is the derivatives of the prices, are called the ‘Greeks’ because they are usually labeled ‘delta’, ‘gamma’, ‘theta’, etc. Thus, this project will investigate new ways to calculate the Greeks.

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Faculty Supervisor:

Student:

Leung Lung Chan

Partner:

QUIC Financial Technologies

Discipline:

Finance

Sector:

Finance, insurance and business

University:

University of Calgary

Program:

Accelerate

Comparison of Toyota Prius Plug-in version Field Tests to Renewable Energy Vehicle Simulator Predictions

Several vehicle component modules will be developed as part of this project to validate if the proposed approach can be used to develop a comprehensive vehicle simulator that can meet expected design criteria. The proof-of-concept simulator will be developed to be able to address all requirements. Furthermore, the proposed vehicle simulator libraries will be developed to enable the use of the simulator to model various vehicle configurations, including plug-in hybrid in parallel configuration. Because all the vehicle components source code is available, it remains that the simulator can be adapted to model any vehicle systems and avoid the “black box” approach of commercial vehicle simulation software.

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Faculty Supervisor:

Dr. Eric Bibeau

Student:

Reza Ghorbani

Partner:

Manitoba Hydro

Discipline:

Engineering

Sector:

Fuel cells

University:

University of Manitoba

Program:

Accelerate

Virtual Organ Modelling with Advanced Transport and Visualization Tools

Pharmacokinetics, the study of a drug’s course through the body, is an essential quantitative tool used in all stages of drug development and administration. The liver is the primary site of drug metabolism and elimination from the body, but it is difficult to model due to its complex structure. A virtual organ will be developed for the liver using modern mathematical techniques such as fractals in conjunction with flow reservoir modelling software developed by the Computer Modelling Group Inc. The model will be used to investigate the effects of disease and injury on the liver’s ability to process a drug.

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Faculty Supervisor:

Dr.Jack Tuszynski

Student:

Rebeccah Marsh

Partner:

Computer Modelling Group Inc.

Discipline:

Physics / Astronomy

Sector:

Life sciences

University:

University of Alberta

Program:

Accelerate

Ultra Wide Band Antenna Design for Microwave Breast Imaging

Existing screening techniques for detecting breast cancer like X-ray Mammography, Magnetic Resonance Imaging (MRI), and Computer Assisted Tomography (CT) have some drawbacks, such as the inability to detect cancer at early stage, over sensitivity or requirement of breast compression. A new approach that has the potential to overcome these shortcomings is Ultra Wide Band (UWB) microwave imaging. This imaging method is based on solving Maxwell’s equation to determine dielectric properties profile with known electric field measured by antennas surrounding the breast. As small planar UWB antennas suitable for microwave imaging are not commercially available, our goal is to design and fabricate UWB antenna system for microwave imaging to detect breast cancer. As time domain behaviors of antenna are essential for imaging, Finite Difference Time Domain (FDTD) technique will be used for design and study of the performance of the antenna system.

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Faculty Supervisor:

Dr. Sima Noghanian

Student:

Iftekhar Hossain

Partner:

CancerCare Manitoba

Discipline:

Engineering

Sector:

Medical devices

University:

University of Manitoba

Program:

Accelerate

Stereo Video-based Head Pose Tracking for Motion Correction in PET Reconstruction

Typically, movement of the patient during any medical imaging scan will result in a degraded final image if this motion is not accounted for. This research project aims to use the video from two cameras, recording from different angles, to estimate the motion of a patient’s head during a PET (positron emission tomography) scan. By using the video from two cameras to track features of the patient’s head, motion in all three dimensions can be estimated. This motion estimation will then be used to reconstruct an improved final image, by taking into account the patient motion that occurred during the scan. Besides improving the final image, this method holds a benefit over current methods in that it does not require any markers or restraints be placed on the patient during imaging, techniques which are currently used to track or restrict a patient’s motion.

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Faculty Supervisor:

Dr. Ghassan Hamarneh

Student:

Russell Warneboldt

Partner:

TRIUMF

Discipline:

Computer science

Sector:

Life sciences

University:

Simon Fraser University

Program:

Accelerate

Software Componentization

Current software development and refactoring practices promote the modularization of software and encourage the interoperation of software components. The emergence of service oriented architectures is now providing the incentive to promote even more modularity and interoperation between multi-vendor, multi-language, and multi-environment software. This project aims to develop a better understanding of these growing interoperation constraints in the context of large web applications. It will use dependency analysis and abstraction techniques to determine how best to feasibly refactor existing applications into independent components to maximize interoperability with other existing and future software packages.

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Faculty Supervisor:

Dr. Jacob Slonim

Student:

Mark McKenna

Partner:

IBM Canada

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Dalhousie University

Program:

Accelerate

Seismic Forward Numerical Modeling and Illumination Study

This project will use computer modelling to aid in building a geological model of the earth’s subsurface. The model is assumed to be accurate when seismic data from the model reasonably matches seismic data recorded on the surface of the earth. The movement of wave energy within the model will then be used to aid in identifying hydrocarbon signatures in the real seismic data.

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Faculty Supervisor:

Dr. John C. Bancroft

Student:

Hesham Moubarak

Partner:

Husky Energy Ltd.

Discipline:

Geography / Geology / Earth science

Sector:

Mining and quarrying

University:

University of Calgary

Program:

Accelerate

Optimal Investment Strategies

A major challenge for portfolio managers is that it is hard for them to predict the future. In practice, they would settle for being able to identify which stocks are likely to perform well and which are likely to perform badly in the next month. This project will include the investigation of algorithms for using specific collections of research data about a family of stocks to do just this, and will also be concerned with ways of assessing how best to compare the quality of alternative algorithms.

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Faculty Supervisor:

Drs. Len Bos & Tony Ware

Student:

Greg Orosi

Partner:

Genus Capital Management

Discipline:

Finance

Sector:

Finance, insurance and business

University:

University of Calgary

Program:

Accelerate

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