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

Impact of Canadian Drug Policies on Economic, Clinical, and Humanistic Outcomes: A Systematic Review

Pharmaceuticals are among the most commonly used and important healthcare treatments in Canada. Third party healthcare payers, such as provincial departments of health and private insurers such as Blue Cross and Green Shield, use a variety of tools and techniques to balance the access, cost and quality of medications. Collectively, these tools and techniques are known as drug policies and they include things such as formulary restrictions, prior authorization forms and patient co-payments and deductibles. While there have been some evaluations of these policies in recent years, there has never been a summary of all of these studies in Canada. This present project will compile such a summary and determine the impact of the policies on economic, clinical and humanistic (quality of life, satisfaction, etc.) outcomes.

View Full Project Description
Faculty Supervisor:

Dr. Neil MacKinnon

Student:

Alena Morrison

Partner:

Pfizer Canada Inc.

Discipline:

Pharmacy / Pharmacology

Sector:

Pharmaceuticals

University:

Dalhousie University

Program:

Accelerate

Improved Models of Electric Machines for Real-Time Digital Simulations

Real-time digital simulators are valuable tools for non-destructively studying the transient behavior of electric machinery under stressed conditions. RTDS Technologies is a world-leader in the manufacturing of such simulators and is continually striving to improve its repertoire of available models of electrical equipment. The intern’s project will use special modeling methods to develop a new, more accurate model of electric machines (motors and generators) that accurately represent inter-winding faults. The work requires the construction of a mathematical model of the machine based on the geometry of its construction and physical properties of the materials. The developed model is expected to be useful to the customers of RTDS that are interested in the design of protection and diagnostic equipment for electrical machines.

View Full Project Description
Faculty Supervisor:

Dr. Aniruddha Gole

Student:

Ali Dehkordi

Partner:

RTDS Technologies Inc.

Discipline:

Engineering

Sector:

Energy

University:

University of Manitoba

Program:

Accelerate

Improving Growth and Yield Predictions Using Combined Tree Based Models

Growth and yield predictions are the basis of all forest management activities. The intern will conduct advanced research with the intention of improving growth and yield predictions by combining traditional models with a process-based stand development model. Typically, process-based models are more complicated and require special data as input and are difficult to use. Traditional growth and yield models are simple to use but often rely on extensive field measurement over long-periods of time. For the partner, a manufacturer of newsprint and super-calendered papers, the intern will attempt to take advantage of both approaches by using model predictions from process-based models to improve prediction accuracy of traditional growth and yield models. He will work closely with forest woodland managers to process existing data accumulated by the company to improve the model. He will also be responsible for transferring the technology.

View Full Project Description
Faculty Supervisor:

Dr. Charles Bourque

Student:

Christopher Clowater

Partner:

Stora Enso Port Hawkesbury Ltd.

Discipline:

Forestry

Sector:

Forestry

University:

Université de Moncton

Program:

Accelerate

High-resolution Light Detection and Ranging (LiDAR) and its Application to Salt Marsh Restoration

Salt marshes are recognized as significant feeding grounds and refuges for wildlife and for their importance in flood mitigation, carbon sequestration and as filters for removing pollutants and suspended sediments. With growing interest in, and efforts towards, dyke removal and salt marsh restoration, there is a need for science-based management decisions to ensure appropriate site-specific restoration activities. This project proposes to incorporate relatively new remote sensing technology (LiDAR), aerial photographs, satellite imagery, flood models and field collected data for validation. This approach aims to assess the effects of salt marsh restoration activities on the restored lands, including re-vegetation patterns. It will also provide an improved means of predicting the “success” of various salt marsh restoration activities before ground-work commences.

View Full Project Description
Faculty Supervisor:

Dr. Anna Redden

Student:

Koreen Millard

Partner:

Ducks Unlimited Canada

Discipline:

Biology

Sector:

Fisheries and wildlife

University:

Acadia University

Program:

Accelerate

Form & Language for the Astronomical Study of Hydrogen

This project undertakes the visualization of astronomical data in 3D enabling us to study phenomena such as expanding gas shells and rotating galaxies. We will develop a 3D mathematical model of astronomical observational data, apply this model to the data and display the data utilizing the technologies available through the Virtual Reality Centre. It is expected to lead to the development of astronomy analysis tools and insights into polygon-based computational graphics problems and the adaptation of 3D computer modeling and animation tools developed for the film and design industries for astronomical and mathematical research.

View Full Project Description
Faculty Supervisor:

Dr. Jayanne English

Student:

Jennifer West

Partner:

Industrial Technology Centre

Discipline:

Physics / Astronomy

Sector:

Aerospace and defense

University:

University of Manitoba

Program:

Accelerate

Feature Set Generation from Customer Transaction Data for Customer Classification

Verafin is an information technology company that specializes in customer intelligence solutions for small and midsize financial institutions. There is a high demand for automated fraud and money laundering detection and prevention systems since such activities cost millions to the financial industry every year. A key problem with detection techniques is the accurate and descriptive profiling of the account. Thus, it is important to identify the salient features in transaction data that would enable the company to accurately profile the accounts. Through accurate profiling of customer accounts, the search for fraudulent activities can be narrowed down to high-risk groups of accounts. Thus, the intern intends to develop the algorithms to identify a feature set from the account data.

View Full Project Description
Faculty Supervisor:

Dr. George K.I. Mann

Student:

Dilan Amarasinghe

Partner:

Verafin Inc.

Discipline:

Engineering

Sector:

Finance, insurance and business

University:

Memorial University of Newfoundland

Program:

Accelerate

Comparison of Different Middle Ear Prostheses in Conducting Mechanical Vibrations for Hearing Reconstruction

Currently, surgeons often reconstruct the middle ear to restore hearing with artificial prostheses that reconnect the middle ear bones that have been destroyed. This process is unpredictable and these prostheses are available in hundreds of different forms from many companies. The supervisor of this project runs one of the foremost laboratories in the world in exploring the vibration transmission properties of prostheses. Using laser Doppler vibrometry which allows measurements of miniscule vibrations, the ability of prostheses to transmit sound energy from the eardrum to the inner ear can be measured in dead human ears. In addition, an artificial mechanical model of the human ear will be constructed. Thus, the intern will test some completely novel materials for prosthesis construction and design that may surpass the efficiency of all current prostheses, and these will be tested and refined in the middle ear and middle ear model by the intern in the supervisor’s laboratory.

View Full Project Description
Faculty Supervisor:

Dr. Manohar Bance

Student:

Balaji Katlai

Partner:

Clarity Corporation

Discipline:

Engineering

Sector:

Medical devices

University:

Dalhousie University

Program:

Accelerate

Calculation of the True Anisotrophic Distance Between Points

Geostatistics uses statistical modelling to assess the uncertainty inherent in natural resource problems. There is always a sparsity of data because of the cost of getting samples. Statistical models have emerged as the preferred method of quantifying the uncertainly in this situation. These models allow mining, petroleum and environmental companies to make better decisions when faced with sparse data. Thus, the intern’s research will develop a methodology to calculate the true distance between samples. Because geology is heterogeneous, the effective distance between two samples is not a straight line. Being able to calculate the true distance between points when the heterogeneity varies greatly over the statistical model will allow for a better quantification of the uncertainty in a given problem.

View Full Project Description
Faculty Supervisor:

Dr. Clayton Deutsch

Student:

Jeff Boisvert

Partner:

DeBeers Canada

Discipline:

Engineering

Sector:

Environmental industry

University:

University of Alberta

Program:

Accelerate

Application of an Age Structured Model to the Northumberland Strait

AMEC Earth & Environmental is a company that provides assessments and potential solutions for environmental issues. The intern will assist AMEC by creating mathematical models for several environmental projects including the Northumberland Strait ecosystem. A mathematical model will provide AMEC with a tool for assessment of proposed indicators of ecosystem health and forecasting that can be adapted to future environmental projects. Her work is expected to provide direct and immediate benefit to AMEC through improvements to statistical models and computational methods. Over the long term, the work has great potential to lead to the development of predictive mathematical models for complex ecological systems of interest to AMEC.

View Full Project Description
Faculty Supervisor:

Dr. James Watmough

Student:

Lisa Kanary

Partner:

AMEC Earth and Environmental

Discipline:

Mathematics

Sector:

Environmental industry

University:

University of New Brunswick

Program:

Accelerate

Advanced Modulation Techniques for Power Converters and Vehicle Propulsion Systems

The HVDC Research Centre performs innovative research and development in high-voltage DC (HVDC) and power electronic technologies, instrumentation and simulation. HVDC is committed to finding new methods to improve efficiency in equipment usage and electric power flow. One such application is conversion and shaping of voltage waveforms, which is generally referred to as “modulation”. The intern’s project in engineering optimization will study, analyze and develop advanced switching control algorithms for drive systems and power electronics while meeting the required performance characteristics defined by industry standards and accepted by the Centre.

View Full Project Description
Faculty Supervisor:

Dr. Shaahin Filizadeh

Student:

Ali Mehrizi-Sani

Partner:

Manitoba HVDC Research Centre

Discipline:

Sector:

Transportation and warehousing

University:

University of Manitoba

Program:

Accelerate

Transport Phenomena in Bulk CdTe Production

5N Plus produces commercial quantities of bulk compound semiconductors including CdTe and CdZnTe. These compounds are novel x-ray and gamma ray detectors and are expected to greatly reduce the cost and complexity of medical and industrial imaging devices such as MRI machines and airport scanners. The intern will apply electromagnetic fields and thermal forcing to improve the reliability and yield of compound semiconductor production systems. Affecting the transport phenomena in zone purification and compound synthesis equipment will allow faster processes, lower production costs and more consistent material properties.

View Full Project Description
Faculty Supervisor:

Dr. Sadik Dost

Student:

Jordan Roszmann

Partner:

5N Plus Inc.

Discipline:

Engineering

Sector:

University:

University of Victoria

Program:

Accelerate

Towards an Optimal Scale for Injury Surveillance: Evaluating Spatial Dependency and Community Socio-economic Context on Intentional and Unintentional Injuries in British Columbia

Traumatic injuries place a tremendous burden on families, communities, industry, and the health care system. Moreover, the risk of severe injury, especially amongst the young and elderly, disproportionately affects those who are disadvantaged. Investigating the linkage between the environment and injury is complex as the interrelationship between location, socioeconomic status, age, and family demographics is often greater than the sum of their parts. The internship team will propose a geographic information science (GIS) based approach for trauma research. GIS offers trauma researchers an array of tools to detect the specific risk factors of injuries and to more accurately assess the spatial epidemiology of trauma in urban, rural, and remote communities in British Columbia.

View Full Project Description
Faculty Supervisor:

Dr. Nadine Schuurman

Student:

Nathaniel Bell

Partner:

Vancouver General Hospital

Discipline:

Geography / Geology / Earth science

Sector:

Life sciences

University:

Simon Fraser University

Program:

Accelerate

Previous
1…423424425426427428429…1,106
Next

Join a thriving innovation ecosystem.

Subscribe to our newsletter now!

Subscribe