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

Sustainability framework for early-stage entrepreneurships

This project will explore the measures of sustainability described by Environmental, Social and Governance (ESG) measures; find the key measures that venture capital investors review to make their investment decisions and create a framework to integrate sustainability measures within the early-stage entrepreneurship. This will not only promote the sustainability of the entrepreneurial venture but will also integrate them into the Canadian economy and help our economy prosper within the context and priorities of sustainability as described by the United Nations Sustainable Development Goals and Agenda 2030.

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Faculty Supervisor:

Ruben Burga

Student:

Partner:

Altitude Accelerator

Discipline:

Business

Sector:

Other services (except public administration)

University:

University of Guelph

Program:

Accelerate

The use of eDNA as a tool to augment gill net sampling for fish community monitoring

Traditional monitoring of fish community using gillnets is a well-established standard but comes with biases associated with selectivity of net sizes as well as significantly mortality of caught fish. Environmental DNA (eDNA) is rapidly becoming the new standard in fish and wildlife monitoring because it is less susceptible to biases, and it eliminates animal mortality. The latter is obviously important for threatened species. Despite the benefits of eDNA for aquatic monitoring, much is still not known about the efficiency and accuracy of using eDNA to assess fish communities across the broad range of environmental conditions seen in nature. The proposed project aims to address this important shortcoming by assessing eDNA variability as a function of key environmental parameters such as type of freshwater system (lacustrine vs riverine), seasonality (fall vs spring), and water quality (e.g., turbidity, pH). The information gained will be instrumental for the assessment of eDNA as a relevant tool for fish community monitoring in Manitoba.

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Faculty Supervisor:

Caleb Hasler;Jean-Pierre Desforges

Student:

Partner:

Manitoba Hydro

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services; Utilities

University:

University of Winnipeg

Program:

Accelerate

Development of Graphene-Based Anode Materials for Li-Ion Batteries

Lithium-ion batteries (LIBs) have become a critical energy storage device in various applications, such as portable electronic devices, electric vehicles, and grid storage, due to their high energy density and good rate capabilities. Carbon-based materials have been widely used as anode materials for lithium-ion batteries. Among them, graphite is the most common anode material used in commercial LIBs. However, it suffers from some issues such as low specific capacity, layer exfoliation and mechanical fracture during cycling, as well as lithium dendrite formation due to constant volumetric changes, which negatively impacts the cyclic performance. Therefore, new anode materials with improved performance are required to meet the increasing demand for high-performance LIBs. Graphene-based materials with attractive properties are promising anode materials to make revolutionary breakthroughs in the field of electrochemical energy storage. In this Project, we will evaluate the electrochemical performance of graphene-based materials obtained from a petroleum waste to develop a high-performance anode material for lithium-ion batteries.

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Faculty Supervisor:

Al Meldrum

Student:

Partner:

Synanos

Discipline:

Physics

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Environmental quality assessment and mitigation measure implementation for Osisko lake restoration

The proposed research project will target the assessment of the environmental quality of Osisko lake and the implementation of a mitigation measure for lake restoration. The first master student will work on the evaluation of chemical pollution and the profiling the microbial community existing in the lake. The second master student will be in charge of the implementation of a bioremediation approach consisting of using calcite-producing bacteria (Microbiologically included CaCO3 production (MICP)) to limit the mobility and bioavailability of metals in Osisko waters and sediments. This project will provide an optimized bioremediation technology that could be applied by different stakeholders in pilot scale to improve the environmental quality of Osisko lake and protect its ecological and recreational functions.

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Faculty Supervisor:

Mebarek Lamara;Carsten Meyer-Jacob;Carsten Meyer-Jacob

Student:

Partner:

Centre technologique des résidus industriels

Discipline:

Engineering

Sector:

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

University:

Université du Québec en Abitibi-Témiscamingue

Program:

Accelerate

Splittings of Binomial Edge Ideals

A graph is a collection of nodes or points, called vertices, along with a collection of objects called edges, which connect some of the vertices. Graphs can be used to model a number of real world applications. For example, the world wide web can be represented by a node for each website, and an edge between vertices represents a link from one website to another. Understanding the structure of graphs can help us understand the structure of the web, and to help us ensure connections between various websites. In the last two decades, an area of mathematics, called combinatorial commutative algebra, has been developed to study graphs using algebraic tools. One associates with a given graph an algebraic object called an ideal. There are many different ways to do this; in the project, we are interested in studying algebra objects called binomial edge ideals.COur specific project is to understand if the these binomial edge ideals can be broken down (or “split”) into smaller binomial edge ideals; the hope is that these smaller ideals will be related to subsets of the original graph and further, give information about the larger ideas and graphs.

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Faculty Supervisor:

Adam Van Tuyl

Student:

Partner:

Indian Institute of Technology Madras

Discipline:

Mathematics

Sector:

Other; Information and Communications Technology

University:

McMaster University

Program:

Globalink Research Award

Thales : Humain-Autonomie Teaming (HAT) pour les véhicules aériens sans pilote

Le contexte du projet se situe dans le domaine de l’interaction entre l’humain et les agents autonomes (humanautonomy teaming; HAT), plus particulièrement dans le cas d’usage touchant l’aérospatiale. Thales souhaite étudier les mécanismes pour que ces deux agents (humain et machine) puissent devenir coéquipiers formant un système cognitif conjoint (joint cognitive system). L’étude consiste à analyser les méthodes de collaboration de ces deux agents dans un contexte d’allocation dynamique de tâches entre un opérateur et agent autonome aérien tel qu’un drone. En employant des méthodes d’intelligence artificielle Thales développe des algorithmes qui peuvent permettre à Thales de construire un pont entre les deux agents pour permettre de solidifier leur relation, leur performance et la compréhension de chacun tout en soulevant les axes de transparence, d’explicabilité et d’humain dans la boucle. Ce stage se concentre sur l’aspect agent intelligent du projet.

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Faculty Supervisor:

Christian Gagné;Audrey Durand

Student:

Partner:

Thales Recherche et Technologie

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Menya : Apprentissage de fonctions heuristiques pour la planification automatique

Menya Solutions est la division spécialisée en intelligence artificielle (IA) de la compagnie Levio. Menya développe des logiciels pour l’aide à la décision, la valorisation des données, le contrôle automatisé et la vision robotique
pour leurs différents clients. Dans ce contexte, des algorithmes de planification automatique sont développés pour doter des robots (ou agents logiciels) de la capacité à se projeter dans le futur afin de déterminer quelles décisions leur permettra d’atteindre leurs objectifs. Récemment la communauté scientifique a investi beaucoup d’efforts dans l’exploration d’approches combinant la planification automatique et l’apprentissage automatique. L’objectif du stage consiste à apprendre automatiquement des fonctions heuristiques permettant de guider le processus décisionnel d’un agent. Dans le contexte d’apprentissage de fonctions heuristiques, les données correspondent habituellement à des traces d’exécution des algorithmes de planification sur des problèmes passés. Ces traces d’exécution permettent de quantifier la désirabilité ‘réelle’ d’une décision prise à un certain point dans le graphe d’actions possibles, agissant ainsi comme une cible à atteindre pour l’algorithme d’apprentissage automatique. Le stagiaire aura à travailler en collaboration avec les spécialistes en IA de chez Menya pour invoquer les algorithmes de planification existants sur différents problèmes représentatifs afin de générer les données nécessaires à l’entraînement de modèles.

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Faculty Supervisor:

Christian Gagné;Brahim Chaib-draa

Student:

Partner:

Menya Solutions

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université Laval

Program:

Accelerate

Bentley : Segmentation et analyse automatique de grands maillages 3D

De plus en plus de technologies existent pour capturer un modèle 3D d’une infrastructure existante : drones, robots, caméras spécialisées, etc. Toutefois, les données ainsi produites ne sont pas “intelligentes”, en ce sens qu’elles ne contiennent aucune information sur ce qu’elles représentent, pas plus que les pixels d’une image n’indiquent ce qu’ils représentent. Ce projet vise à donner aux ordinateurs des capacités d’interprétation de ces modèles 3D, plus spécifiquement de les rendre capables de “découper” des modèles 3D en une série d’objets bien définis. Cela permettra d’effectuer automatiquement des tâches d’inventaire, d’inspection et de comparaison auparavant dévolues aux opérateurs humains et ainsi de permettre aux acteurs du domaine de l’infrastructure (firmes d’ingénierie, opérateurs de réseaux électriques, villes, etc.) d’être plus efficaces et d’améliorer la fiabilité de leurs processus.

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Faculty Supervisor:

Christian Gagné;Jean-Francois Lalonde

Student:

Partner:

Bentley Systems Canada

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology

University:

Université Laval

Program:

Accelerate

Effect of exercise training on the human skeletal muscle proteome, phosphoproteome, and proteodynamics

Generally, resistance exercise increases muscle mass and strength, whereas endurance exercise increases the capacity to use fuels and fatigue resistance. In both cases, skeletal muscle translates the physical and biochemical stresses of exercise into morphological and metabolic adaptations, with the adaptations improving one’s ability to perform the corresponding type of exercise. This concept is known as training specificity, and although it makes intuitive sense, the molecular mechanisms that link resistance and endurance exercises with their specific adaptations are not fully understood. How resistance exercise achieves these adaptations remains understudied, but what is known is that skeletal muscle translates the physical and biochemical stresses of resistance exercise into morphological and metabolic adaptations. While both types of exercise activates signaling pathways (i.e., proteins) that increase the synthesis of specific proteins to cause adaptations, thousands of proteins are likely involved, and their interactions are complicated. Until recently, our analytical capacity has limited the number of pathways that could be studied simultaneously; however, using novel molecular techniques, we are examining the entire complement of skeletal muscle proteins in response to resistance exercise.

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Faculty Supervisor:

Stuart Phillips

Student:

Partner:

Liverpool John Moores University

Discipline:

Life Sciences

Sector:

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

University:

McMaster University

Program:

Globalink Research Award

Pea protein de-flavouring by ultrasound cavitation

The global demand for protein is increasing at a rapid pace. Certainly, the animal-based proteins alone will not be able to respond to the anticipated rise in demand. Among various sources, plant-based proteins have been identified as the most reliable option. However, they carry an undesirable taste or odor. The aim of this project is to use ultrasound cavitation and study its effect on oxidizing the off-flavors. The effects of ultrasound cavitation on off-flavors will be studied by varying the operating conditions, such as power of ultrasound and exposure time.
The findings of this research will benefit the food industry, in particular the collaborating company to develop a process for improving the quality and acceptability of plant proteins. In addition to the commercial value this research will help Canada to maintain its scientific and technology advantage. This research will create new knowledge for dissemination and training for HQP.

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Faculty Supervisor:

Jafar Soltan

Student:

Partner:

Pacific Ridge Trading Corp.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Saskatchewan

Program:

Accelerate

Modélisation hygrothermique de l’enveloppe du bâtiment en bois/torchis

La nécessité de réduire la consommation d’énergie pour le chauffage et la climatisation suscite un regain d’intérêt pour les matériaux géosourcés dans la construction des bâtiments modernes. Ces matériaux offrent de nombreux avantages en termes d’adaptation au changement climatique et de réduction des émissions de CO2 des matériaux de construction. La terre en tant que matériau de construction et de finition est considérée comme respectueuse de l’environnement et offre de nombreux avantages en termes de durabilité. Avec des enduits de finition en argile aux textures brutes combinées à une grande diversité de couleurs naturelles, et surtout une plasticité qui inspire une importante variété de décors confère à l’argile un potentiel fort intéressant dans les applications d’apparence des murs du bâtiment. La conception des murs en bois/argile renforcée de fibres végétales avec des enduits de finition extérieure et intérieure en argile est une construction adaptée aux zones chaudes et/ou faiblement sismiques du fait que ce type de construction offre une bonne résistance aux secousses sismiques en raison de la souplesse de la structure en bois.

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Faculty Supervisor:

Claudiane Ouellet-Plamondon

Student:

Partner:

Quebec Wood Export Bureau

Discipline:

Engineering

Sector:

Manufacturing

University:

École de technologie supérieure

Program:

Accelerate

Étude de la qualité, de la stabilité et de la circulation des antibiotiques utilisés dans la prise en charge des survivantes de violences sexuelles en République démocratique du Congo

Les actes de violence sexuelle (VS) sont encore largement répandus dans le monde et continue d’aggraver des situations déjà précarisées par des conflits armés et des catastrophes naturelles. La République Démocratique du Congo (RDC) connait cette triste réalité. Les femmes victime de ces atrocités se retrouvent parmi toutes les tranches d’âges et requièrent des soins de santé de qualité, incluant une prise en charge, des soins pharmacologiques et des soins psychosociaux. Les infections représentent les risques sanitaires les plus élevées des VS ; leur traitement se fait avec des antibiotiques spécifiques pour chaque infection. En établissant un profil sur le circuit de distribution de ces médicaments et en déterminant la prévalence de falsification, tout en mettant au point des méthodes de détection et de dosage par spectrométrie de masse, ce projet contribuera à offrir aux femmes victimes de VS, des antibiotiques de bonne qualité, susceptibles d’apporter des soins efficaces.

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Faculty Supervisor:

Grégoire Leclair

Student:

Partner:

Université de Lubumbashi

Discipline:

Life Sciences

Sector:

Pharmaceuticals; Education

University:

Université de Montréal

Program:

Globalink Research Award

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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.