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

Multimodality thermal cancer treatment using targeted liposomes and temperature monitoring using photoacoustics and ultrasound

The problem of cancer chemotherapy is the severe toxic side effects on healthy tissues. The use of liposomes as a chemotherapeutic drug carrier can accumulate at the tumour site, but the timely release of the drug has remained as a problem. Liposome systems that respond to hyperthermal temperature is one of the approaches for triggered release of drugs from liposomes. The combined use of drug-containing thermosensitive liposomes and localized heating methods can selectively deposit drugs in the heated region. The effectiveness of the combined treatment will be based on the liposome efficiently releasing the drug load at the target while being able to heat the target at a predefined temperature and period. The technical development from this project will be a platform for CancerRx’s future commercialization, and the developed thermometry function can be added to VisualSonics’ VEVOLAZR system to expand the market need.

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Faculty Supervisor:

Michael Kolios;Jahan TAVAKKOLI;Carl Kumaradas

Student:

Partner:

FUJIFILM VisualSonics;Cancer Rx

Discipline:

Physics

Sector:

Life Sciences (not health); Nanotechnology; Health and Related Sciences & Technology

University:

Toronto Metropolitan University

Program:

Accelerate

Real world testing of online cognitive training and rehabilitation programs

With an aging population on the rise, the prevalence of cognitive decline is expected to increase substantially. Goal Management Training® (GMT) and the Memory and Aging Program® (MAP) are cognitive interventions that have been studied extensively and applied clinically to address these needs. Although previous research has demonstrated efficacy of the in-person versions of both MAP and GMT, significant barriers exist in the utilization of these programs. In light of these challenges, online versions of MAP and GMT have recently been developed. The current project aims to evaluate if online versions of MAP and GMT are successful at improving cognitive functioning, knowledge about normal cognitive aging, engagement in lifestyle behaviours/strategies to mitigate cognitive changes and reducing intention to seek unnecessary medical attention for memory-related concerns. Findings will be used for knowledge dissemination and will aid in the commercialization of these evidence-based online cognitive interventions.

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Faculty Supervisor:

Alexandra J Fiocco

Student:

Partner:

Cogniciti

Discipline:

Life Sciences

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Accelerate

Improve workplace wellbeing using AI and organizational behavior software platform

behaviours within a given organization. This will allow to remedy and/or remove the counterproductive, and to enhance and enable positive behaviours, civility and engagement. The platform that will be developed is unique and distinctly not social feedback nor 360-degree feedback. The cloud-based systems that will be developed should detect, measure, map, correct, and sustain the quality of interactions and culture among members of an organization or a work group. We will define, guide and integrate artificial intelligence (AI) approaches to enhance the system functionalities for healthy work environments, and organizational remediation of counterproductive and bad behaviours (e.g. harassment, bullying, intolerance, discrimination, targeting, etc.).

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Faculty Supervisor:

Nizar Bouguila

Student:

Partner:

Beslogic

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

Free-Piston Direct-Drive Thermal Engine for Waste Heat Applications

The research project proposed here takes a radically new approach to on-vehicle electric power generation, with the potential for developing a scalable, flexible, and conceptually very efficient method without the need for complex mechanical off-take. The new method is called the Free-Piston Direct-Drive Linear Generator, a type of Rankine Cycle expansion engine. Excess thermal energy is used to heat a fluid via a heat exchanger, and the energy in this high-pressure and high-temperature fluid is then converted into work via the free-piston expansion engine. A Free-Piston Expander (FPE) provides this approach with flexibility and a very broad dynamic range of operating points. Unlike a more familiar reciprocating piston, there is no connecting rod or crankshaft; the piston trajectory is completely unconstrained and key parameters impacting thermodynamic performance, such as expansion ratio (ER) can be varied over an enormous range in real-time. Furthermore, by optimizing the piston trajectory (position versus time) in each stroke, it is possible to smooth the power output to nearly steady conditions. The FPE embodiment of the Rankine cycle expander is likely to be optimal in the range of 10-1000kW.

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Faculty Supervisor:

Luis Rodrigues;Charles Basenga Kiyanda;Chunyan Lai;Pragasen Pillay

Student:

Partner:

NovoPower International

Discipline:

Engineering

Sector:

Manufacturing; Utilities

University:

Concordia University

Program:

Accelerate

Étude comparative de points d’opérations sans charge des turbines hydrauliques à l’échelle modèle – Partie 2

Le projet réalisé dans le cadre de stages Mitacs vise à renforcer et augmenter les connaissances sur la dynamique de l’écoulement traversant les turbines hydrauliques de type Francis lorsqu’elles sont opérées en régimes hors production (sans charge). Ces conditions d’opération de plus en plus fréquentes et faisant partie intégrante des régimes transitoires, telles que les arrêts ou démarrages de turbine, sont parmi les plus dommageables pour les turbines. Donc, améliorer la compréhension permettra, à long terme, d’allonger la durée de vie des machines, d’augmenter leur fiabilité et de réduire les coûts d’opération. L’association des connaissances et compétences de l’Université Laval et Andritz Hydro permettra d’approfondir les connaissances sur les diverses réponses des machines aux opérations sans charge en présence ou non de cavitation.

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Faculty Supervisor:

Claire Deschênes;Sébastien Houde

Student:

Partner:

ANDRITZ Canada Inc.

Discipline:

Engineering

Sector:

Energy and Utilities; Green/Alternative Energy; Sustainability & the Environment

University:

Université Laval

Program:

Accelerate

Deep Neural Networks for applications in public safety

Deep Neural networks have revolutionized machine learning and in particular computer vision. The revolution was achieved by a combination of big data, graphical processing units and advances in numerical optimization. In this work we propose to extend and develop machine learning techniques, focusing on deep learning methods for public health and safety applications. We will use and extend deep learning methodology to deal with 3D seismic and electromagnetic data for signals that are emitted for public safety

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Faculty Supervisor:

Eldad Haber

Student:

Partner:

Xtract AI

Discipline:

Earth science

Sector:

Professional, scientific and technical services

University:

The University of British Columbia

Program:

Accelerate

Development of a Methane Flux Sensor

This project supports development of a laser-based sensor capable of accurately measuring methane releases from oil and gas wells, an important source of greenhouse gas emissions. This sensor will lead to a more accurate understanding of greenhouse gas emissions and enable mitigation actions in the upstream oil and gas industry. This is a critical step in developing effective climate change policy which affects all Canadians. By supporting this project, INO wants to ensure the technological and commercial viability of this important new sensor. Success in these objectives will give Canadian industries rapid access to a state-of-the-art tool enabling them to quantify and reduce methane emissions, which is critical to helping Canada meet its stated commitments to reducing oil and gas sector methane emissions by 40–45% by 2025.

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Faculty Supervisor:

Matthew Johnson

Student:

Partner:

National Optics Institute (QC)

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

Non-state governance of violence: a comparative analysis of two communities in the South Zone of Recife, Brazil

The objective of this project is to compare and analyse the forms of non-state governance of violence
in two poor communities in the southern region of Recife, Northeast Brazil. Although they are close
to each other and have similar structural contexts, each of these communities has specific governance
arrangements with disparate day-to-day consequences. The working hypothesis is that, in contexts of
poverty and inequality and selective action by police organisations, societal patterns emerge that
favour the consolidation of non-state forms of governance of violence. In this way, this project aims to amplify knowledge of violence prevention programmes focusing on the specificities of urban poverty areas.The biggest challenge for the public intervention aimed at in this project to occur, is to directly establish a constructive dialogue between those with institutions of repression and the justice system with the residents of these communities.

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Faculty Supervisor:

Karen Schwartz;Jean Daudelin

Student:

Partner:

Universidade Federal de Pernambuco

Discipline:

Sociology

Sector:

Education

University:

Carleton University

Program:

Globalink Research Award

Different cocaine markets and implemented drug policies in Recife

This investigation aims to discuss possible relationships between internal dynamics of different cocaine markets in Recife and uses of this information in drug policies implemented in the city. Understanding the configurational mechanisms that operate in different cocaine markets, their functionalities, dysfunctionalities and particularities is needed. Then, I must analyse how the existing policies considers the market’s characteristics in order to develop it. There are several forms of marketing and consumption of cocaine. The main ones are “powder” (cocaine), usually snorted and “stone” (crack), smoked. In addition, the “virado”, also smelled, corresponds to an “intermediate type of these two varieties”. The internal dynamics of prices and consumption by different social classes are correlated to the occurrence of violence and the forms of police action. Data will be collected in interviews, observations on the functioning of some of these markets and in documentary research on local drug policies and action strategies.

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Faculty Supervisor:

Karen Schwartz;Jean Daudelin

Student:

Partner:

Universidade Federal de Pernambuco

Discipline:

Sociology

Sector:

Education

University:

Carleton University

Program:

Globalink Research Award

Collection and transcription of a corpus of aphasic speech for the development of a prototype of an intelligent communication aid application

Aphasia is an impairment of language caused by an injury to the brain. Word finding difficulties often accompany aphasia and can persist even after intensive speech therapy, having a negative impact on the person’s social participation and quality of life. Today’s communication aids can improve the ability to effectively communicate but findings from focus groups that we have held show a need for a more intelligent and intuitive communication aid that will better meet individuals’ needs. Our ultimate goal is to develop a prototype of an intelligent communication aid application that will target these unmet needs. However, training the machine learning algorithm that will power such an application will require large quantities of aphasic speech data that are not currently available. In this project, we will begin by collecting a corpus of speech output of people with aphasia. Then we will phonetically transcribe this output. These two forms of the data will then be used to train the prototype that we will de

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Faculty Supervisor:

Gonia Jarema;Eva Kehayia;Eva Kehayia;Gonia Jarema

Student:

Partner:

IBM Canada Ltd;IBM Europe (France)

Discipline:

Life Sciences

Sector:

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

University:

McGill University; Université de Montréal

Program:

Accelerate

Utilisation des techniques d’intelligence artificielle pour améliorer les applications des nouveaux types d’images d’observation de la Terre

Le projet proposé vise à développer des architectures d’apprentissage profond pour analyser divers types d’images d’observation de la Terre utilisées par Effigis. Il est divisé en trois sous-projets, visant chacun un type d’images et d’applications associées. Le premier sous-projet concerne l’identification des bâtiments sur les images satellites à très haute résolution (30 – 50 cm) à l‘aide de réseaux de neurones convolutifs (CNNs) de détection d’objets. Le second sous-projet sera consacré aux images proximales à ultrahaute résolution (millimétrique), qui seront utilisées pour le dépistage des maladies en agriculture. Les CNNs de détection d’objets et de segmentation sémantique seront utilisés à cette fin. Le sous-projet 3 visera les images multitemporelles (Sentinel-2 et Planet) qui seront analysées à l’aide d’architectures qui combinent des CNNs et des RNNs (réseaux de neurones récurrents) pour capter l’information spatio-temporelles sur les séries d’images. Les algorithmes développés seront intégrés aux processus de production d’Effigis afin de l’aider à rehausser sa compétitivité.

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Faculty Supervisor:

Yacine Bouroubi

Student:

Partner:

Effigis Géo-solutions Inc

Discipline:

Earth science

Sector:

Mining; Professional, scientific and technical services

University:

Université de Sherbrooke

Program:

Accelerate

Conception d’un outil d’aide à la décision stratégique pour le choix des pratiques et technologies novatrices d’un terminal portuaire intelligent

Le projet vise à concevoir un outil qui aidera les administrations portuaires à faire des choix stratégiques sur les pratiques d’affaires et nouvelles technologies à implanter pour devenir des ports intelligents. L’outil proposera des résultats personnalisés afin de prendre en compte les enjeux actuels et futurs propres à un port. La création de l’outil reposera sur une revue exhaustive de la littérature sur le concept de port intelligent et de sa portée dans les activités portuaires. La contribution d’un groupe d’experts et d’une application sur un cas portuaire réel permettra de valider l’outil. Les résultats du projet serviront de repères à une administration portuaire canadienne dans sa planification stratégique du développement d’un nouveau terminal intelligent qui répondra aux enjeux locaux, notamment en matière de proximité avec la communauté urbaine.

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Faculty Supervisor:

Pascal Forget;Jean-François Audy

Student:

Partner:

Administration portuaire de Trois Rivières

Discipline:

Engineering

Sector:

Transportation and warehousing

University:

Université du Québec à Trois-Rivières

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.