Innovative Projects Realized

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

31133 Completed Projects

2940
AB
5159
BC
837
MB
685
NL
882
SK
9292
ON
9695
QC
97
PE
601
NB
1161
NS

Projects by Category

Understanding and characterizing flux noise in D-Wave’s superconducting circuit stack

While quantum computers in theory can solve problems exponentially faster than conventional computers, in practise they are quite challenging to build. One of the main problems facing the technology used by D-Wave, IBM, and google is the presence of flux noise. The current project aims to understand the origin of flux noise in D-Wave’s superconductor-based quantum hardware. We will measure noise using two different kinds of experiments and we will apply our recently developed theory to model our results in terms of interacting magnetic impurities on top of the wires. Our goal is to understand the microscopic origin of flux noise in order to propose better materials and devices, benefiting all quantum computer architectures based on superconducting electronics.

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Faculty Supervisor:

Rogerio de Sousa

Student:

Partner:

D-Wave Quantum Inc.;Quantum Algorithms Institute

Discipline:

Physics

Sector:

Information and cultural industries

University:

University of Victoria

Program:

Accelerate

Rapid Assessment of Materials Properties for Reversible Solid Oxide Fuel Cells through Machine Learning

To address the urgent problem of climate change, it is important to look for alternatives to fossil fuels. Renewable energy sources, such as solar or wind power, are attractive but are often criticized for being intermittent: the energy produced varies with time of day or season of the year. There is a mismatch between the availability of the energy produced and the demand based on usage patterns. Thus, renewable energy is still underutilized. Reversible solid oxide fuel cells are devices that convert the electrical energy and store it as chemical energy, and then release it back as electrical energy upon demand. But they can degrade under the harsh conditions of their operation. They can be improved if more robust components of these devices can be developed, but there are many possible candidates. This proposal applies artificial intelligence methods to rapidly search for new materials to make these devices more reliable.

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Faculty Supervisor:

Arthur Mar

Student:

Partner:

SeeO2 Energy

Discipline:

Physics

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

A Window into the Mind at a Price You Can Afford: Developing an Online and Offline Pupil-Size Analysis Plug-in

We will harness the power of Mirametrix eye-tracking technology to offer a viable means of probing internal mental processes that were previously intractable without more expensive or invasive techniques. Through the innovative application of popular statistical methods and state-of-the-art machine learning techniques, we will produce a software plug-in capable of online and offline pupil size analysis. The present study aims to make pupillometry more affordable and practicable for applications in research, education, clinical practice, and human-device interfaces such as video games. This partnership will help Mirametrix attract a wider demographic, gain competitive advantage, and increase sales revenue.

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Faculty Supervisor:

Amir Raz

Student:

Partner:

Mirametrix

Discipline:

Engineering

Sector:

Entertainment and Media; Health and Related Sciences & Technology; Technology

University:

McGill University

Program:

Accelerate

To enhance translation of the intention-physical activity gap amongst Canadian adults by integrating the multi-process action control framework into the ParticipACTION app.

Regular physical activity is essential for optimal physical and mental health however the majority of Canadians aren’t meeting physical activity recommendations. The ParticipACTION app aims to assist Canadians in becoming more active and the purpose of this research program is to enhance the app’s impact by informing it with the Multi-Process Action Control (M-PAC) Framework. This framework helps users overcome the intention-physical activity behaviour gap which represents the phenomena that although many individuals intend to be physically activity, most don’t follow through with these intentions. The research program will better tailor the app content to the individual, 2) I will design public-facing content for an updated version of the app and gather feedback from app users to determine their satisfaction with the updated content. I will design an app feature that monitors M-PAC constructs amongst app users and assess whether the updated content results in greater potential for behaviour change.

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Faculty Supervisor:

Ryan Rhodes

Student:

Partner:

ParticipACTION

Discipline:

Sociology

Sector:

Arts, entertainment and recreation; Other services (except public administration)

University:

University of Victoria

Program:

Accelerate

Agro materials derived nano activated carbon for absorption of heavy and toxic metals from Industrial effluents

Our goal is to achieve environmental sustainability while facing severe resource constraints (including a lack of financial resources, skilled labor, and available power sources) by using innovative and non-conventional technologies. Agricultural products have been demonstrated to be an effective alternative to conventional treatment systems for the adsorption-based removal of hazardous heavy metals such as chromium (Cr), mercury (Hg), copper (Cu), and nickel (Ni) from water solutions. This comprises rice hulls, sugarcane bagasse, coconut shells, peanut shells, apple debris, and fly ash, among other materials. Activated carbon (AC) formed from agro-based materials is a well-known adsorbent that may be utilized effectively for the removal of a wide range of contaminants from air, soil, and liquids. AC is the most effective adsorbent for the removal of several (organic, inorganic, and biological) water and wastewater contaminants. The outcome of this project will be the synthesis of target nano-activated carbon fibers derived from agricultural sources and the development of a device modelling procedure that is friendly to users.

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Faculty Supervisor:

Satinder Brar

Student:

Partner:

University of Delhi

Discipline:

Engineering

Sector:

Environmental Science and Technology; Nanotechnology; Water

University:

York University

Program:

Globalink Research Award

Détection radar des mouvements humains en présence d’artéfacts environnementaux

Ce projet vise à mettre au point de nouvelles méthodes d’intelligence artificielle pour améliorer la détection de chutes à l’aide d’un radar. L’utilisation d’un radar permet la détection de chutes dans un domicile tout en protégeant la vie privée des personnes grâce à l’absence de prise d’image et ne nécessite aucun capteur porté. Cela permet d’alerter les soignants des chutes et permet ainsi de maintenir les personnes plus longtemps à domicile, en sécurité. Le but du projet est d’améliorer la détection de chutes lorsqu’il y d’autres objets ou sujets en mouvement dans la pièce. Ainsi, des rideaux qui bougent avec le vent, des?ventilateurs, la vibration d’un réfrigérateur ou encore des tuyaux dans les murs représentent des sources plausibles de “pollution” qui gêne la détection des chutes par radar. Pour améliorer la performance, nous développerons dans ce projet des méthodes d’apprentissage automatique pour identifier et séparer le mouvement d’une personne des sources de bruits.

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Faculty Supervisor:

Guillaume-Alexandre Bilodeau;François Nougarou

Student:

Partner:

Morphée+ Inc.

Discipline:

Engineering

Sector:

Health and Related Sciences & Technology; Information and Communications Technology; Clean Technology

University:

Polytechnique Montréal

Program:

Accelerate

Decolonizing our Data: Integrating Indigenous Perspectives and Ways of Knowing Within the Kingston Resiliency Dashboard Project

Based on the intersection of: (1) the lack in understanding the effects of COVID-19 on various municipal sectors; and (2) the necessity of integrating Indigenous perspectives and data concerning contemporary Indigenous communities within the Kingston area, in informing how to build resiliency, Indigenize projects, and decolonize research, this research seeks to Indigenize the Kingston Resiliency Dashboard Project where possible. This phase of the research project will be accomplished by using qualitative research methods and data analysis to comprehensively interrogate and critique existing dashboard indicators, and add/or change sections to forefront Indigenous perspectives. Moreover, the beginning phases of identifying and mapping Indigenous cultural heritage within Kingston and the greater area will be produced for Kingston & Area Association of Museums, Art Galleries and Historic Sites (KAM) in this project. We hope that in beginning to address these gaps, users of the dashboard can be presented with aggregated and accessible data that can shed light into the ways to build municipal and community resiliency- most importantly of which, involves processes of Indigenization.

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Faculty Supervisor:

Carolyn DeLoyde

Student:

Partner:

Kingston Association of Museums, Art Galleries and Historic Sites

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Queen's University

Program:

Accelerate

Expanding the product spectrum of anaerobic digestion for a circular economy

Canada has enormous potential to recover renewable energy and chemicals from over 18 million tonnes of waste generated annually while simultaneously reducing greenhouse gas (GHG) emissions associated with landfilling that account for 13% of national methane emissions. The proposed project will develop the fundamental science and technologies needed to realize sustainable waste to chemicals manufacturing by producing high value medium chain fatty acids from food waste and wastewater biosolids for use as animal feed additives, industrial products, and transportation fuel precursors. Transfer of know-how and biotechnologies to project partner organizations will position them to effectively translate technologies to the waste and chemicals sectors.

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Faculty Supervisor:

Christopher Lawson

Student:

Partner:

Veolia Water Technologies & Solutions;CBS Bio Platforms

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services; Construction and infrastructure; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Analyse de la turbulence de bord dans un réacteur à fusion thermonucléaire

Dans le cadre du stage, le stagiaire sera amené à créer des outils d’analyse informatique afin de caractériser la turbulence du plasma (un gaz contenant des électrons libres) de fusion nucléaire. La fusion nucléaire est une technologie émergente permettant de créer de l’énergie propre en grande quantité par la fusion d’atomes en éléments plus lourds. Pour réaliser cette réaction, on doit placer le plasma dans des conditions extrêmes de pression et de température pour lui permettre d’atteindre et de maintenir une fusion stable. Les turbulences qu’il vivra pourraient faire perdre le contrôle du plasma aux expérimentateurs, ce qui aurait pour résultat l’échec de la réaction. Le but du stage est de créer des outils informatiques qui pourront analyser ces turbulences (spécifiquement les turbulences de bord) à l’aide d’image vidéo pour prévenir et diagnostiquer la perte de contrôle du plasma avant que celui-ci ne s’échappe du confinement. Cela permettra de préserver la réaction plus longtemps et évitera les dommages aux équipements.

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Faculty Supervisor:

Ahmad Hamdan

Student:

Partner:

Université de Lorraine

Discipline:

Physics

Sector:

Education

University:

Université de Montréal

Program:

Globalink Research Award

Optimal Numerical-Weather-Prediction Parameters for Wind-Power Forecasting

BC Hydro purchases power from four independent wind farms in British Columbia to supplement their hydropower. But wind is not steady, so BC Hydro must compensate for shortfalls or excesses in wind power to provide steady, reliable, economical power to its customers. To achieve this reliability, BC Hydro uses wind forecasts provided by the University of British Columbia (UBC). These forecasts are made with computer codes called Numerical Weather Prediction models that describe atmospheric airflow, but each model has a range of options.
This project will experiment with different model options to achieve the best wind forecasts. Intern 2 will test different representations of the bottom part of the atmosphere where wind turbines are located. Intern 1 will evaluate whether resolving the finer details of wind shifts with altitude are worth the extra computation time. Intern 3 will identify the best starting data for each forecast.

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Faculty Supervisor:

Roland Stull

Student:

Partner:

BC Hydro (Burnaby, BC);University of British Columbia

Discipline:

Earth science

Sector:

Utilities

University:

The University of British Columbia

Program:

Accelerate

Deep learning based ultrasound guidance for robotic spinal interventions

Pedicle screws are used often in a spinal fusion to add support and strength to the fusion while it heals. Traditionally, a large incision is made to implant screws and rods that stabilize the spine. In contrast, percutaneous pedicle fixation is a minimally invasive spine surgery technique, performed through the skin without a traditional large incision to implant screws and rods that stabilize the spine. The the BIROB Center (host institution) and Koellner Medical (https://koellner-medical.com) collaborate in the development of a new concept for robot-assisted percutaneous pedicle screw fixation. Previously, the Queen’s Perk Lab developed the concept of real-time tracked ultrasound guidance for planning and guiding percutaneous pedicle screw insertion and developed deep learning based ultrasound image segmentation. The overall objective of the project is to integrate deep learning real-time tracked ultrasound guidance in the BIROB-Koellner robotic spine surgery platform.

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Faculty Supervisor:

Gabor Fichtinger

Student:

Partner:

Óbuda University

Discipline:

Computer science

Sector:

Other; Artificial Intelligence; Biotechnology

University:

Queen's University

Program:

Globalink Research Award

A Smart Prosthetic Liner

Lower limb prosthesis users typically wear a silicone liner on their residual limb, which is the interface between their body and the prosthetic socket. Knowing the in-socket pressure distribution is extremely beneficial in ensuring proper socket fit and thus better gait and higher quality of life for amputees, considering the need of amputees for a limb monitoring system. The technology of self-sensing prosthetic liner is developed during the Ph.D. program of the intern. The technology must pass some development stages, as well as market research under the supervision of mentors before it can enter the market. During Lab2Market, the intern will be involved in different projects to learn about different aspects of the commercialization of the research product. It can form hypotheses about the business plan, potential customers, and entry points.

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Faculty Supervisor:

Fae Azhari

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Technology; Health and Related Sciences & Technology

University:

University of Toronto

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.