Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

31620 Completed Projects

2978
AB
5221
BC
856
MB
696
NL
899
SK
9419
ON
9858
QC
98
PE
619
NB
1192
NS

Projects by Category

Caractérisation génétique d’algues rouges et brunes du golfe du Saint-Laurent pour l’industrie alimentaire et cosmétique

1) l’identification moléculaire d’espèces d’algues rouge Porphyra ainsi que d’algues brunes, Laminaria digitata
Mérinov, le Centre de recherche appliquée en pêches et en aquaculture et l’École des pêches et de l’aquaculture du Québec appuie le développement de l’industrie des algues dans l’est du Canada depuis 15 ans. Merinov travaille actuellement sur la culture de différentes espèces d’algues dont Laminaria digitata et Porphyra pour approvisionner les entreprises locales de transformation d’algues et de cosmétiques mais ne possède pas l’expertise pour la caractérisation génétique. Cette identification sera très importante pour l’entreprise ‘Un océan de Saveurs’. Ce projet de systématique profitera également aux cueilleurs d’algues de Gaspé qui commercialisent la laminaire digitée ainsi des espèces de Porphyra sp. En effet, ils pourront certifier l’identification de l’espèce Porphyra sp vendue à leurs clients.

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Faculty Supervisor:

France Dufresne

Student:

Partner:

Merinov (Gaspé, QC)

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

Université du Québec à Rimouski

Program:

Accelerate

Development of a UV-LED air purifier for indoor air

Indoor air is contaminated by a variety of chemical and microbial contaminants. These contaminants can be effectively removed or inactivated using a process known as photocatalysis. In this method, a photocatalyst is chemically activated using ultraviolet (UV) radiation and readily degrade the contaminants when coming in contact with them. The application of newly emerged ultraviolet light-emitting diodes (UV-LEDs) as the radiation source for photocatalytic air purification is investigated in this project. A UV-LED-based air purifier concept is developed, and the engineering design is optimized using simulation tools. Then, a prototype with an optimal design is fabricated and is experimentally tested for removing several chemical and microbial contaminants. The outcome of this work is important for improving the indoor air quality by removing chemical and microbial pollutants in the air.

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Faculty Supervisor:

Charles Haynes;Fariborz Taghipour

Student:

Partner:

Watersprint Holdings Limited

Discipline:

Engineering

Sector:

Manufacturing

University:

The University of British Columbia

Program:

Accelerate

Automatic Tracking, Localization, and Action Recognition of Hockey Players, Using Broadcast Videos (Phase 2)

Automatic analysis of sport videos is an attractive research area in computer vision that is driving the sport analytics towards a more technological edge. By automatically analyzing sport videos, lots of information could be drawn that benefits the teams, coaches, referees, players and even the fans, such as: extracting strategy of the game, technique and performance of each individual player, performance of the referee in a competition, and etc. This area of research, although attracted many researchers in the computer vision community, is still in its infancy. This project focuses on automatic analysis of the broadcast hockey videos. Explicitly, in this project as the second phase of a hockey video analytics project, precise tracking and localization of the players on the ice-rink will be performed and 2D pose of the players and goalie will be extracted and will be used for recognizing the action type that is performed by each player and goalie.

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Faculty Supervisor:

David Clausi;Alexander Wong;John Zelek;Mohammad Javad Shafiee

Student:

Partner:

Stathletes

Discipline:

Engineering

Sector:

Information and cultural industries

University:

University of Waterloo

Program:

Accelerate

Strategic Management – Transitioning from the Red Ocean to the Blue Ocean: A Case Study of Blueprint Residential Property Management Company

This research is intended to assess Blueprint Residential Property Management Company’s current organizational structure, business processes, system infrastructures, policies, leadership skills, and employees to determine areas of change and realignment to move the organization to a leading-edge service company. The research is also intended to factor in opportunities that need to be tapped into due to the impact of the global COVID-19 pandemic and recent Bill-20 legislation passed by the Government of Alberta. Finally, we will be supporting the organization when deploying some of the identified systems to be replaced to ensure there is employee adoption of these systems.

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Faculty Supervisor:

Ajnesh Prasad

Student:

Partner:

Blueprint Residential Property Management Company

Discipline:

Business

Sector:

Real estate and rental and leasing

University:

Royal Roads University

Program:

Accelerate

Evidence-driven strategies for successful schooling outcomes of learners of African descent in Nova Scotia

Research has identified that a gap exists in the academic achievement of Nova Scotian students of African descent as compared to their peers. Taking an Africentric approach, this research aims to understand how schools, families, and communities can collaborate to provide an enabling environment for learning so that Nova Scotian students of African descent succeed in school. This research will also identify the opportunities and challenges associated with the development and implementation of policies that support such partnerships, and the ability of educators to understand the cultural nuances of the African culture. Furthermore, this research also proposes to identify the learning patterns amongst students that ensure successful schooling outcomes. Identification of such learning patterns will provide a basis for data-driven policy decision-making and implementation in Nova Scotian public schools.

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Faculty Supervisor:

Pawan Lingras;Joyline Makani

Student:

Partner:

Delmore “Buddy” Daye Learning Institute

Discipline:

Sociology

Sector:

Education; Professional, scientific and technical services

University:

Saint Mary's University

Program:

Accelerate

In Vitro Simulation of Neck Fracture, Wear, Corrosion and Distraction in Modular Total Hip Replacements

Reports of in vivo total hip replacement failures have raised concerns over their load bearing capacity, safety, reliability and service life particularly as hip arthroplasty is being extended to
even younger patients. Therefore, it is crucial to ensure continual patient monitoring and develop proper testing standards. This study focuses on investigating retrievals and in vitro
test samples with the objective of ensuring accurate simulation of in vivo conditions in a lab setting. Both currently used neck materials, Ti6Al4V and CoCrMo will be investigated.
Fatigue life, corrosion and wear damage as well as distraction forces will be studied. Optical and scanning electron microscopy will be used to analyze damage and fracture features
allowing direct comparison between retrievals and in vitro test samples on one hand, and Ti6Al4V and CoCrMo necks on the other hand. The study will serve as benchmark to test and improve implant performance and life through modification of implantation technique

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Faculty Supervisor:

Michel Nganbe

Student:

Partner:

The Ottawa Hospital;University of Ottawa

Discipline:

Engineering

Sector:

Education; Health and Related Sciences & Technology

University:

University of Ottawa

Program:

Accelerate

Earth Data Store – A Networked Ecosystem for Earth Observation Data Analytics

The Earth Data Store project provides a cloud-based repository for information about our earth. This encompasses satellite information, environmental models, sensors, and many other types of data that allow users to ask questions of this data to help inform their understanding of the world. The outputs of the project will allow economic development to be balanced with environmental protection. Interns on this project will interact with organizations such as BC Parks Foundation and port authorities to understand what information they need to make the best decisions possible and keep interested parties involved in the vital work that they are doing. The needs of our coastal first nations and many businesses in maintaining highly private geographical data sources, while still being able to share the information that they decide to is an important element of the distributed data store that we are building.

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Faculty Supervisor:

Yvonne Coady

Student:

Partner:

UrtheCast;EarthDaily Analytics

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

Probabilistic based Ultra-low Supply Voltage Noise Tolerant Circuits and Systems Design

As very large scale integrated circuit (VLSI) technology progresses, power consumption and power density of VLSI circuits increase when design complexity and transistor density increase. Low-power design becomes a major design challenge. Lowering the supply voltage is one of the most efficient ways to save power because power consumption is proportional to the square of supply voltage. Electronic devices are expected to operate at much a lower supply voltage than traditional designs, which is very useful for portable electronics and biomedical implants. Unfortunately, when supply voltage decreases, soft faults (e.g., noise and cross talk) does not decrease proportionally. For instance, one of the major challenges in ultra low-power and deep-submicrometer circuit design is noise fluctuation. Ultra deep-submicrometer VLSI circuits are expected to operate at much smaller noise margins, and thus, VLSI circuits are more sensitive to soft faults. In this project, a probabilistic-based fault-tolerant circuit design methodology based on Markov Random Field (MRF) theory is proposed. This iPDF grant is to support the applicant to team up with the industrial partner in applying the MRF-based design methods to implement large-scale signal processing and communication systems.

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Faculty Supervisor:

Jie Chen

Student:

Partner:

Hidaca Ltd

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Targeting SARS-CoV-2 (COVID-19) methyltransferases (nsp14 and nsp10-nsp16 complex) toward developing small molecule antiviral therapeutics – Part 2

COVID-19 pandemic has brought the world to standstill with more than 55 million people infected to-date and more than 1.34 million mortality so far. It has literally brought the health care systems in many countries to the breaking point, if not beyond. The economic consequences have been devastating with millions of people out of work. We are taking a novel approach by focusing on two SARS-CoV2 (COVID-19) methyltransferases that are essential for viral replication. Both enzymes (nsp14 and nsp16) are druggable. Therefore, identifying potent inhibitor of these two proteins could be used in providing new therapeutics for COVID-19. In addition, because these proteins are highly similar in other coronaviruses such as SARS (SARS-Cov) and MERS (Middle East Respiratory Syndrome), and many other coronaviruses currently infecting animals, the same drugs likely could be effective in treatment of other current coronavirus infections, and those possibly infecting humans in future.

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Faculty Supervisor:

Masoud Vedadi

Student:

Partner:

Structural Genomics Consortium

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Unmanned Aerial Vehicle Swarm Collaboration for Weed Control in Field Crops

Precision.ai is building solutions to minimize chemical consumption while maintaining weed control through Intelligent UAV based application. Precision.ai has working survey drones that can fly a field, capture images and use AI to map weeds to be sprayed later. Precision.ai also has “See & spray” drones that can fly a field, identify weeds and spray them. We now need to scale our capabilities through drone swarming. The required speed and coverage will require an autonomous and collaborative swarm of drones (or a combination of more capable drones and/or more efficient field coverage). This includes smart autonomous adaptive path planning for the multi-UAV swarm. This includes improved (optimized) field coverage. We need growers to be able to configure missions to optimize coverage, minimize chemical use, minimize mission time and optimize weed suppression based on their crop and field scenarios. We expect field size to mean that drones will need to autonomously reload and recharge at points in their missions. This will likely require other agents in the swarm to adapt their flight / spray paths for complete coverage.

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Faculty Supervisor:

Malek Mouhob

Student:

Partner:

Precision AI

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Regina

Program:

Accelerate

Development of a process for furfural production in an Integrated Forest Biorefinery

An integrated biorefinery for furfural production is an opportunity for Kraft pulp mills to create value from hemicellulose, a class of wood component that is currently burnt for energy. Furfural is one of the top bio-products with the potential to replace many industrial organic compounds that are currently produced from crude oil revenue. The objective of this work is to develop an optimized biorefinery process that can be best integrated into a Kraft pul~” mill. “The approach taken consists of two stages: (I) conceptual design of a process using process simulation (II) the experimental validation of its process steps. The second stage is the objective of this internship. The experimentally validated process simulation will be used to develop and propose a biotefinery implementation strategy that will have a minimal effect on the energy and material balance of the host mill.

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Faculty Supervisor:

Oumarou Savadogo

Student:

Partner:

AV Nackawic Inc;FPInnovations (Pointe-Claire, QC);BioFuelNet;École Polytechnique de Montréal

Discipline:

Engineering

Sector:

Manufacturing

University:

École Polytechnique de Montréal

Program:

Accelerate

Rural Philanthropy: Mapping Patterns of Charitable Giving in Newfoundland and Labrador and Canada’s Atlantic Region

With ever-changing rural economies and landscapes, it is essential to identify alternative ways that charitable and non-profits organizations, as well as communities, can be adaptive and resilient to the changing circumstances they face.
In partnership with McConnell Foundation and IBEC, this project will examine the environmental philanthropic landscape in Newfoundland and Labrador and Atlantic Canada to better understand the challenges, barriers and potential of gaining charitable status to support environmentally focused charities and non-profits. Additionally, this project will seek to understand the potential for rural charitable organizations to increase community and environmental resiliency in the long-term.
It is expected that this research will benefit the partner organizations enabling them to meet their organization’s overall objectives. McConnell Foundation and IBEC’s goals will be achieved by gathering and mobilizing specific knowledge on the state of philanthropy in NL and Atlantic Canada, and the role that philanthropy can play in local environmental and social resilience.

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Faculty Supervisor:

Leith Deacon;Kelly Vodden;Jean-Marc Fontan

Student:

Partner:

Fondation McConnell;Indian Bay Ecosystem Corporation

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

University of Guelph

Program:

Accelerate

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Mitacs — Return on Innovation

Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.