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

Aiding Leak Detection in Pipelines Using System Identification – Year two

The ultimate goal of this project is to detect and localize leaks in pipelines in real time. Hifi Engineering has developed
distributed fiber optic sensors. Measurements are obtained at evenly spaced intervals along the pipeline (called
channels). This project aims to develop data processing tools to improve leak detection and localization. Many events
occur along a pipeline whose effects are registered by sensors (trucks driving by, compressors turning on, leaks).
Events are registered in many channels as sounds propagate down the pipeline. We aim to remove the component of
a channel signal caused by events occurring in neighboring channels. This results in a de-cluttered channel signal. We
do this by constructing a data-driven dynamic model of the pipeline acoustics, and use it to filter out events that
occurred in neighboring channels. Subsequently, Hifi Engineering will process the de-cluttered signal to classify each
event (i.e. was the event a truck, leak,…).

View Full Project Description
Faculty Supervisor:

David Thomas Westwick

Student:

Arne Geert Dankers

Partner:

Hifi Engineering Inc

Discipline:

Engineering - computer / electrical

Sector:

Alternative energy

University:

University of Calgary

Program:

Elevate

Optimization of conformational epitopes against the NTS1 and P2Y6 receptors

The proposed project, performed with the company Immune Biosolutions, aims to develop superior antibodies for biological targets of interest for the treatment of colorectal cancer. Specifically, these targets are a class of proteins expressed on cell surface, which are notoriously difficult for the development of antibodies. The method involves making molecules look like the biological target, in order to elicit antibody responses which are more specific to the targets. The proposed project will have a technological impact that will make biomedical research more reliable by providing better tools, as well as a translational impact by providing molecules to validate new targets for the treatment of colorectal cancer.

View Full Project Description
Faculty Supervisor:

Philippe Sarret

Student:

Marie-Edith Nepveu-Traversy

Partner:

Immune Biosolutions

Discipline:

Pharmacy / Pharmacology

Sector:

Medical devices

University:

Program:

Accelerate

Sport-for-resilience: 4-H participation and youth lifeskill development

The current wellbeing crisis in Canada is magnified in rural areas. Also, rural economies are negatively affected by lack of suitable youth lifeskill training. Rural communities lack financial capital to address these issues on their own. 4-H has been building rural youth skill for over 100 years, offering a variety of options, including physical activities which occur on farms such as horse activity. For rural youth, there is potential for 4-H physical activity programs to be sport-for-development- a field combining physical activity and lifeskill development. However, over the years there has been very little research on rural youth development, or 4-H in Canada. As a result, there is a lack of data which can be used in evaluation and program design. This project would help fill the gap by gathering information about resilience and the program elements that contribute to it the most, among 4-H Ontario horse club members.

View Full Project Description
Faculty Supervisor:

Harry Cummings

Student:

Heather Sansom

Partner:

4-H Ontario

Discipline:

Environmental sciences

Sector:

Agriculture

University:

University of Guelph

Program:

Accelerate

Innovative design of a sound numerical model calibration process: from lab tests to input data

Geomechanica Inc. develops simulation software (Irazu) for rock engineering applications. This numerical software has been used in several peer-reviewed research publications in the rock mechanics field. A key challenge in the numerical modelling of rock masses is the selection of
appropriate input parameters. The objective of this work is to develop a solution to streamline the laboratory testing and integration of the results into Irazu models. As a result, the time needed to build a model will be significantly reduced and the uncertainties in the model inputs will be
mitigated. The proposed R&D project is expected to bring Geomechanica closer to a full geomechanics solution offering to clients by providing the inputs needed for numerical simulations, and provide engineers and researchers with reliable, predictive tools for analyzing complex rock mechanics problems.

View Full Project Description
Faculty Supervisor:

Karl Peterson

Student:

Johnson Ha

Partner:

Geomechanica

Discipline:

Engineering - civil

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Training in Virtual Environments on Mobile Devices

New emerging Virtual Reality (VR) technologies and mobile devices are changing the way that we are interacting with computing technology. The partner organization has a multimedia product that is used to train technicians to perform various maintenance tasks or introduce them to the interconnected components of a machine. The goal of this project is to research and develop software designs to port this multimedia training framework to mobile platforms. The specific challenges include conducting multimedia training on standalone mobile devices. For users to benefit from such training, a new interaction design is mandatory because of the shift from large screens, mouse and keyboard to small but high resolution touch screens on devices equipped, with on-board cameras and possibly other sensors. This project will help the partner organization to make strategic decisions on future product development and increase the research community’s understanding of the impact of mobile computing on distributed virtual training environments.

View Full Project Description
Faculty Supervisor:

Jochen Lang

Student:

Lu Sun

Partner:

Lockheed Martin Canada

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Ottawa

Program:

Accelerate

Silicon Photonic Water Quality Sensor

Pesticide detection in water has become a high priority worldwide, from protecting the population from environmental contamination due to agricultural pesticides, and bio-threats from terrorist activities. An exhaustive characterization of water pollutants requires laboratory-based analyses which are inherently slow and expensive. Thus, regarding the above mentioned pesticide contaminations, developing a real-time and in-situ detection technique would be very valuable to rapidly protect the population and the environment, especially in remote places. This project aims to develop continuous sensors using silicon photonics technology. The sensor will target the most relevant pesticides and exhibits a limit of detection that allows to test the quality standards for water within a few minutes. This project gives the opportunity for the interns to gain multi-disciplinary skills on a fast-growing technology, while it provides a R&D service to the industrial partner and a new product to Canada.

View Full Project Description
Faculty Supervisor:

Lukas Chrostowski

Student:

Loic Laplatine

Partner:

Luxmux Technology Corporation

Discipline:

Engineering - computer / electrical

Sector:

Alternative energy

University:

University of British Columbia

Program:

Accelerate

Deep Learning Analysis for Missing Tooth Detection in Mining Monitoring Systems

This project is aimed at using machine learning algorithms and techniques to enhance the current state of the art of missing tooth detection in mining monitoring systems. Unlike heuristic approaches that follow strictly static program instructions, machine learning techniques operate by building a model from example inputs in order to make data-driven predictions or decisions. We use machine learning techniques to identify the bucket and its teeth within the video frames taken by a camera located on the mining device. We keep track of the detected objects within the images to monitor the status of the teeth over time and detect a potentially missing tooth. We train our object recognition model based on a comprehensive database of over 200 hours of video footage, and evaluate our algorithm in the end by means of image benchmarks including various teeth locations/ scales and various weather conditions.

View Full Project Description
Faculty Supervisor:

Guy Dumont

Student:

Nazanin Hamzei

Partner:

Motion Metrics International Corp

Discipline:

Engineering - computer / electrical

Sector:

Advanced manufacturing

University:

University of British Columbia

Program:

Accelerate

Modified GLARE using GRIP Metal™ Technology

Nucap developed a new bonding technology (GRIP Metal™) that has been primarily used to connect backing plates with braking pads used in automotive disk braking systems. Nucap wishes to explore the technology towards different applications. In this proposal, fibre metal laminates used in the aerospace industry, in particular, GLARE (glass laminate aluminum reinforced epoxy) will be investigated experimentally (tensile, shearing, and impact tests) and compared against modified GLARE with GRIP Metal™ technology.

View Full Project Description
Faculty Supervisor:

Edgar Matida

Student:

Vien Nguyen

Partner:

Nucap Industries

Discipline:

Aerospace studies

Sector:

Automotive and transportation

University:

Carleton University

Program:

Accelerate

Determination of peanut allergen in foods using a dual fluorescence-SERS immunoassay

Peanut is one of the leading foods that can cause food allergies. An extremely low amount of peanut protein is sufficient to cause mild reactions in people who are sensitive to peanut. Over 90% of allergic reaction cases derived from peanut digestion are related to Ara h 1, a glycoprotein that comprises about 15% of the total protein content in peanut and are not degraded during food processing. In this project, we aim to develop a dual fluorescence-SERS immunoassay using graphene quantum dot labeling on aligned magnetoplasmonic nanowires. This immunoassay is expected to be more sensitive and selective to detect this allergen than the conventional immunoassay, with the fluorescence signal as a fast qualitative indicator and SERS signal as a further quantitative analysis.

View Full Project Description
Faculty Supervisor:

Keng Chou

Student:

Qian Liu

Partner:

NTBIO Diagnostics

Discipline:

Chemistry

Sector:

Life sciences

University:

University of British Columbia

Program:

Accelerate

Physiological and environmental factors affecting the migratory behavior and survival of sockeye and steelhead salmon smolts

The great number and variety of factors influencing the survival of migrating salmon smolts in the early marine environment makes it difficult to understand the causes of recent declines in smolt survival and salmon population productivity. We will combine novel methodologies (biotelemetry and biomarkers) simultaneously to examine a variety of factors influencing the migratory behaviour and survival of sockeye and steelhead smolts in the Salish Sea. Using
small acoustic transmitters, the behaviour and fate of Chilko sockeye and Seymour steelhead smolts will be tracked from release through the Salish Sea. The condition of these same smolts will be assessed through the use of biomarkers for pathogen presence and load, presence of immune- or stress-related responses, and growth potential, to better understand the links between condition during initial outmigration and survival and behaviour in the early marine
environment.

View Full Project Description
Faculty Supervisor:

Scott Hinch

Student:

Nathan Furey

Partner:

Pacific Salmon Foundation

Discipline:

Forestry

Sector:

Natural resources

University:

University of British Columbia

Program:

Accelerate

Using brain monitoring and video surveillance to reduce violent incidents in a care-facility environment – Year two

Increasingly prevalent patient violence within the dementia population is a challenge to long term care providers.
Violent incidents can lead to serious musculoskeletal and neurological health complications. I propose to use video surveillance and a novel brain monitoring system in a care facility-based elderly population, to monitor violent episodes and brain vitality after incidents. This will help to 1) identify environmental, behavioural and biomechanical characteristics that contribute to injuries, and 2) measure the transient and long term effects on brain function.
Retirement Concepts, a care provider for dementia clients, benefits from this research by gaining insight on potential
improvements in the design and function of their care facilities that may reduce violent events. This results in a higher
quality of care for patients and an improved work environment for employees. Integrating leading edge research into
their care paradigm will uniquely distinguish Retirement Concepts from other care facilities.

View Full Project Description
Faculty Supervisor:

Carolyn Sparrey

Student:

Tim Bhatnagar

Partner:

Retirement Concepts

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

Simon Fraser University

Program:

Elevate

Enzyme immobilization to enhance the hydrolysis of soluble, biomass derived xylo-oligomers

The proposed research project will conduct feasibility studies on the purification and conditioning of industrial, hemicellulose derived C5 sugars from a number of potentially commercial liquor fractions, derived from lignocellulosic biomass. In the first two Mitacs projects, enzyme hydrolysis showed considerable benefits over traditional acid hydrolysis for S2G’s bio-glycol production. However, relatively high enzyme loadings were still required to achieve fast and efficient hydrolysis! Since the hydrolysis was conducted in a liquid phase and agitation showed no beneficial effects in enhancing enzymatic hydrolysis, the potential of using an immobilized enzyme strategy to further improve enzyme stability while enhancing recycle/reuse of the enzymes could show considerable potential, further reducing enzyme costs. We would also like to see if an enzyme immobilization strategy might be beneficial, building on the optimized enzyme cocktails derived from project I and II. The end goal of this study is to further reduce enzyme cost for S2G’s sugar-to-glycol process.

View Full Project Description
Faculty Supervisor:

Jack (John) Saddler

Student:

Jinguang Hu

Partner:

S2G BioChem

Discipline:

Forestry

Sector:

Natural resources

University:

University of British Columbia

Program:

Accelerate

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