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

Neurorehabilitation of the hand post-stroke or brain injury

Stroke is the number one cause of adult disability in the world. Due to the neurological damage from stroke, a vast majority of individuals suffer from hand function disability (~70%). To improve hand function and overcome challenges from this disability, IRegained has developed the MyHandTM system, a connected mechatronic device with programmed proprietary hand function training protocols developed through deep research in neuroplasticity for targeted hand function therapy.
This research projects aims to gamify these hand function training protocols and validate the enhanced patient engagement and motivation. The effectiveness of the therapy is dependent on intensity and repetition, which is expected to be achieved through gamification.
IRegained Inc will greatly benefit from this MITACS project through acceleration of its time to product launch, and clinical validation through direct user experience.

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Faculty Supervisor:

Ratvinder Grewal

Student:

Kacey Cayen;Amy Doan

Partner:

IRegained

Discipline:

Computer science

Sector:

Other

University:

Laurentian University

Program:

Accelerate

Lynx Population and Landscape Genetics in NW Boreal Landscapes

Our project will use genomics to help understand how climate change and land use are impacting the coupled population dynamics of Canada lynx and snowshoe hares in boreal forests. The lynx-hare cycle is a key process regulating biodiversity the boreal forest food webs, which are increasingly under threat from climate-driven increases in wildfire, insect pests, and disease. We are developing genomic tools to help resource managers understand differences in regional lynx population dynamics and identify movement corridors of habitat that can help connect these regional populations. Our tools will provide new genomic tools to inform resource managers responsible for harvest management, habitat management and endangered species management of lynx and other vertebrates.

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Faculty Supervisor:

Jamie Gorrell;Jeannette Whitton

Student:

Evan Whitney Hersh

Partner:

High-Country Wildlife

Discipline:

Biology

Sector:

Professional, scientific and technical services

University:

Program:

Accelerate

In-Kind Student Edition: Skills and Services Impact Study

To date, there is a gap in the research determining how in-kind giving can be used to motivate student engagement. In tandem with Algonquin College, this project seeks to understand how in-kind giving can help students get involved in achieving the United Nations Sustainable Development Goals. Through a mixed-methods approach involving interviews, focus groups, and surveys, the research will create a student handbook. This handbook will guide student engagement toward in-kind giving and illustrate how this engagement will deliver on the UN-SDGs. With the data gathered through the creation of the handbook, a report will be generated with practical considerations for campuses and students on how to integrate the SDGs.

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Faculty Supervisor:

Paloma Raggo

Student:

Jillian Ripmeester

Partner:

Project K(IN)D

Discipline:

Other

Sector:

Other services (except public administration)

University:

Carleton University

Program:

Accelerate

Porous materials as a filtration method for ship exhaust

The Canadian government has vowed to reduce their pollutant emissions by 2030 in order to curb the effects of climate change. This means that shipping companies must make strides to reduce their overall emissions. This project will use novel sponge-like frameworks, called metal-organic frameworks (MOFs), to remove environmentally toxic pollutants from exhaust gas. The materials currently being utilized for pollutant gas removal (e.g.. limestone) are often are very minimally active by weight, this is not the case for MOFs. MOFs possess a large internal surface area making them very active by weight, and ideal for filtration. These frameworks are able to be tailored to target the removal of specific pollutants and do so at a high capacity. If deployed in filters/pellets for marine vessels, MOFs could greatly reduce the waste associated with the current scrubbers while increasing the capacity for pollutant removal and ultimately slowing the onset of climate change.

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Faculty Supervisor:

Michael Katz

Student:

Devon McGrath

Partner:

Springboard Atlantic

Discipline:

Chemistry

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

A real-time wideband underwater localization system using passive acoustic monitoring

This project provides a software solution for detecting, classifying, and tracking moving sound sources underwater from the generated sounds. Generally, monitoring shipping traffic largely rely on the automatic identification systems (AIS) installed on the vessels. The ability to track these vessels is at the mercy of the functionality of the transponders onboard the vessels and the reliability of the communication link to the base stations. Similarly, to detect and track marine mammals, underwater tags are often embedded on them to provide information about their specific locations. In this project, real-time tracking algorithms are developed on embedded platforms for the detection, localization, and classification of moving sources over a wide bandwidth. The developed system will provide more information in real-time about moving sources in comparison to the existing AIS. The passive solution is also an attractive surveillance solution.

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Faculty Supervisor:

Jean-Francois Bousquet

Student:

Afolarin Egbewande

Partner:

Springboard Atlantic

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Plasmonic Nanoparticle Enhanced Seawater Desalination

To combat the growing need for accessible freshwater sources across the globe, new technologies that don’t rely on fossil fuels are ideal. Additionally, these technologies should be easily implemented in the developing communities that need them most for lower cost than the current options. The purification of seawater, also known as desalination is a highly attractive method due to the large amount of easily accessible saltwater, though current methods are highly fossil-fuel dependent. A new class of materials to be investigated, known as plasmonic nanoparticles, offer a unique solution to take the process off the grid. Such nanomaterials can effectively absorb sunlight and convert it directly to localized heat, making the overall conversion of water to steam using solar energy much more efficient. Creating devices based on this idea would benefit all parties involved to stand-out as innovators in the renewable technology sector.

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Faculty Supervisor:

Mita Dasog

Student:

Matthew Margeson

Partner:

Springboard Atlantic

Discipline:

Chemistry

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

Development of an aligned rolling footgear to reduce seabed impacts of bottom trawl fisheries

Northern Shrimp (Pandalus borealis) and Greenland Halibut (Reinhardtius hippoglossoides) located off the east coast of Nunavut (Arctic Canada) are currently harvested by factory freezer vessels using bottom trawls. This fishery is a major contribution to the territory’s economy. However, bottom trawling is not without its ecological impact. Bottom trawl’s footgear, located below the fishing line and in contact with the seabed to protect the netting and to guide animals into the trawl net, can cause an impact to the seabed. This project will aid in the development of a bottom trawl net with reduced impact by developing an innovative footgear that is aligned with the towing direction and capable of rolling.

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Faculty Supervisor:

Paul Winger

Student:

Tomas Araya-Schmidt

Partner:

Springboard Atlantic

Discipline:

Resources and environmental management

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Ocean wind and wave parameter estimation using X-band marine radar images with rain mitigation

The real-time monitoring of sea surface wind and wave information are crucial to the safety, performance and efficiency of various weather-sensitive on- and offshore operations, such as oil & gas platform drilling, port operations and offshore wind farming. This project plans to propose an accurate and robust method to estimate sea surface wind and wave parameters (e.g., wind speed, wind direction, wave height, etc) using a type of sensor called X-band marine radar. Compared to other traditional sensors such as buoy, X-band marine radar is a “dry” sensor deployed above water, which is low on maintenance cost. Although various methods have been developed to wind and wave information using radar images generated by electromagnetic waves, the presence of rain will negatively affect the quality of the image, leading to low estimation accuracy. In order to solve this problem, this project aims to develop a novel method to mitigate the influence of rain on radar and further improve estimation accuracy based on machine learning techniques.

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Faculty Supervisor:

Weimin Huang

Student:

Xinwei Chen

Partner:

Springboard Atlantic

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Fiber Optic Hydrophone Array

The proposed work targets the development of a fiber optic hydrophone array for underwater acoustics detection and recognition, with the potential for applications in national defense. We propose a new concept of using a small-size low-cost fiber optic hydrophone that are nearly undetectable and can be deployed in a dense array across a wide area and depths. The new hydrophone technology will offer a real-time capability and the required dynamic range to detect and track underwater as well as surface vessels. Working closely with the partner organization would help guide the development to meet requirements of real-life applications. Furthermore, the partner organization would participate in marketing research and steps towards commercialization.

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Faculty Supervisor:

Vlastimil Masek

Student:

Nan Wu

Partner:

Springboard Atlantic

Discipline:

Engineering - computer / electrical

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Shipborne Sea Ice Classification Using Neural Networks

The purpose of this project is to take existing state-of-art machine learning techniques and implement them for ice classification in polar seas. Ice classification plays a critical role in any icebreaker voyage. An ice specialist onboard the icebreaker is required to classify all ice environments encountered. This process is tedious and time consuming. This project aims to automate this process. In using cutting edge neural networks, images taken from aboard icebreakers can be used to classify each pixel in an image giving overall context and information about the environment. These ice classifications would serve to generate important documentation for icebreakers as well as contribute to the formation of ice maps for the Canadian Ice Service.

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Faculty Supervisor:

Oscar de Silva;Weimin Huang

Student:

Benjamin Dowden

Partner:

Springboard Atlantic

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

Development of ice-load simulator for offshore wind turbine towers

Ice load is a major design concerns for structures in the ice prone region especially for slender, monopole structures such as wind turbine towers where the dynamic load can induce severe vibrations. A careful assessment is essential to demonstrate the economic viability of such projects; however, the current design guidelines does not cover site-specific conditions for ice load and state-of-the-art knowledge on dynamic ice-structure interaction. In this project a simplified dynamic ice-structure interaction model will be developed based on fundamental ice mechanics observed in the laboratory experiments. The model will be incorporated in an ice load simulation tool where ice load can be estimated for different ice conditions to make informed design decisions. Through the Lab2Market program, the commercial potential of such a tool will be explored.

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Faculty Supervisor:

Rocky Taylor

Student:

Ridwan Hossain

Partner:

Springboard Atlantic

Discipline:

Engineering - mechanical

Sector:

Professional, scientific and technical services

University:

Memorial University of Newfoundland

Program:

Accelerate

SWASH (Shallow Water Autonomous Surveying Hovercraft) System

Common methods of surveying in very shallow water (<5 meters) may have issues maneuvering in such an environment or be less effective depending on water clarity. The SWASH (shallow water autonomous surveying hovercraft) system can move from land to water seamlessly and is able to collect high resolution data in water as shallow as 30 cm. Our first hovercraft prototype works as this platform that bridges the gap between maneuverability and accurate data collection but faces challenges depending on some external environmental factors including wind and waves. The proposed project is to build a second hovercraft prototype which is still able to maneuver over land and water and collect high resolution data at shallow depths but can also overcome wind, waves, and currents without being pushed off track. This platform will be able to be used in not just a mapping survey, but in many other possible surveys and can therefore be marketed for a variety of uses both academic and non-academic.

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Faculty Supervisor:

David Barclay

Student:

Meghan Troup

Partner:

Springboard Atlantic

Discipline:

Oceanography

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Accelerate

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