Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

31 915 projets complétés

3006
AB
5256
C.-B.
878
MB
703
NL
913
SK
9488
ON
9950
QC
98
PE
629
NB
1215
NS

Projets par catégorie

A Feasibility Study on Appliance Load Monitoring Systems in Quebec Households

This project focuses on the development of a tool to monitor electricity use in Quebec households. This tool intends to assess in near real-time the energy use of each appliance (electric space heaters, electric water heaters, etc.) to identify and diagnose its energy usage for providing feedback to utility and customers. Accordingly, several developments and experimentations by using current technologies (smart appliances, edge devices, and AI-based algorithms) are carried out to design a prototype. The resulting system is beneficial to both Hydro-Québec and its customers. For Hydro-Québec, it will help to facilitate the implementation of demand-side management strategies in the residential sector. Besides, for customers, it brings about new opportunities that allow them to play a key role in power grid operation by optimizing their energy use. Although developing an efficient load monitoring system is a difficult task to perform in Quebec residences, its realization, aimed by this research work, can bring about many benefits to all power grid players.

Voir la description complète du projet
Superviseur du corps professoral :

Kodjo Agbossou

Étudiant :

Partenaire :

Hydro-Quebec

Discipline :

Engineering

Secteur :

Professional, scientific and technical services; Utilities

Université :

Université du Québec à Trois-Rivières

Programme :

Elevate

MEMA_CB_CHEM : Metabolic Engineering of MicroAlgae for CannaBinoids – Chemistry PDF

The Canadian company Algae-C is developing innovative platforms for the growth of different kinds of phototrophic algae around the world. The algal biomass from its modular units is used for the aquaculture, biofuel, nutraceutical, chemical, and personal care markets. Algae-C wants to expand the use of their technology in more areas such as the pharmaceutical field. In order to achieve their goal, the company wants to optimize its own microalgae strains. With this project, Algae-C wishes to optimize genetically engineered microalgae for the production of plant-based metabolites. In a previous project with our research team was able to have the complete metabolic pathway for the production of compounds belonging to the cannabinoid family. The promising results prompted the company to continue with the current challenge to improve (increase and optimize) the production of ?9-tetrahydrocannabinolic acid (THCA) and cannabidiolic acid (CBDA) from engineered microalgae.

Voir la description complète du projet
Superviseur du corps professoral :

Isabel Desgagné-Penix

Étudiant :

Partenaire :

Algae-C

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Université du Québec à Trois-Rivières

Programme :

Elevate

Identifying neural dynamics using fluid dynamics methods

Brain activity can be recorded by an electroencephalogram (EEG). When investigating the data, it is notoriously difficult to extract neural dynamics related directly to e.g., a visual stimulus in an experiment, from the ‘background’ brain activity. A similar problem arises in fluid dynamics, when ordered dynamics, so-called coherent structures, are extracted from measurement data. There, multiple coexisting dynamics which are superimposed in the data need to be separated for further analysis. In recent years a technique called ‘Spectral Proper Orthogonal Decomposition’ (SPOD) was developed at TU Berlin and proved very helpful in identifying and separating dynamic structures in flows. This method is now applied to EEG data that will be recorded during an experiment in which subjects must perform cognitively demanding tasks. The specific patterns in brain activity correlating to the subject’s performance are identified. To predict when an individual’s ability to reliably solve those tasks decreases, a method of monitoring the identified patterns in close to real-time needs to be developed.

Voir la description complète du projet
Superviseur du corps professoral :

Robert Martinuzzi

Étudiant :

Partenaire :

Technische Universität Berlin

Discipline :

Engineering

Secteur :

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

Université :

University of Calgary

Programme :

Globalink Research Award

MEMA_CB_BIOT : Metabolic Engineering of MicroAlgae for CannaBinoids – Biotechnology PDF

The Canadian company Algae-C is developing innovative platforms for the growth of different kinds of phototrophic algae around the world. The algal biomass from its modular units is used for the aquaculture, biofuel, nutraceutical, chemical, and personal care markets. Algae-C wants to expand the use of their technology in more areas such as the pharmaceutical field. In order to achieve their goal, the company wants to optimize its own microalgae strains. With this project, Algae-C wishes to optimize genetically engineered microalgae for the production of plant-based metabolites. In a previous project with our research team was able to have the complete metabolic pathway for the production of compounds belonging to the cannabinoid family. The promising results prompted the company to continue with the current challenge to improve (increase and optimize) the production of ?9-tetrahydrocannabinolic acid (THCA) and cannabidiolic acid (CBDA) from engineered microalgae.

Voir la description complète du projet
Superviseur du corps professoral :

Isabel Desgagné-Penix

Étudiant :

Partenaire :

Algae-C

Discipline :

Life Sciences

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

Université du Québec à Trois-Rivières

Programme :

Elevate

Hemodynamic correction for widefield optical imaging of fluorescent calcium indicators

Imaging brain activity patterns across different brain regions is important for understanding both how the brain works, and how it malfunctions in disease. Recently, development of new optical imaging techniques have allowed imaging such patterns during behaviours and in models of disease. However, one problem with these imaging techniques is that blood adsorbs light, which complicates the interpretation on the origin of these signals. Here we aim to test and develop different approaches to improve the accuracy on interpreting the origin of these brain imaging signals. This will lead to a better understanding of brain processing in health and disease.

Voir la description complète du projet
Superviseur du corps professoral :

Ravi Rungta

Étudiant :

Partenaire :

LabeoTech

Discipline :

Life Sciences

Secteur :

Manufacturing

Université :

Université de Montréal

Programme :

Accelerate

Finite-Rate Quantum Error-Correcting Codes for Photonic Quantum Computing

Quantum computers offer superior advantages compared to classical computers. Technological and theoretical developments have spurred lots of research to enable fully functioning prototypes for quantum computers. One of the main challenges in this direction is building a fault-tolerant quantum computer. In this project, we aim to analyze and design a new method for providing better fault tolerance by improving quantum error correction. We believe this new design will help Xanadu, our partner organization, move a step closer towards realizing a scalable quantum computer.

Voir la description complète du projet
Superviseur du corps professoral :

Chen Feng

Étudiant :

Partenaire :

Xanadu

Discipline :

Engineering

Secteur :

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

Université :

The University of British Columbia - Okanagan

Programme :

Accelerate

Transcriptomic responses of in ovo delivered bioactive substances in heat stressed broiler chickens

Heat stress causes significant economic losses to the poultry industry. Several bioactive substances have reported heat stressmitigative properties. However, the conventional routes of bioactive substance delivery, i.e., via the feed or water, limit their
efficacy. Delivering these substances via the in ovo route might help overcome the limitations of the conventional delivery routes. This delivery strategy could potentially enhance their heat stress mitigating capacity. Therefore, this study intends to utilize molecular biological techniques to evaluate broiler chickens’ response to a mimicked summer heatwave. The heat stress mitigating potential of in ovo delivered bioactive substances (antibiotics, probiotics, folic acid, and essential oil) will also be determined. Outcomes from this study could help solve two critical challenges facing the global poultry industry; finding an effective alternative to antibiotics and heat stress mitigation. This research will ensure optimal gut health development in broiler chickens, hence dismissing the need for antibiotic use.

Voir la description complète du projet
Superviseur du corps professoral :

Deborah Adewole

Étudiant :

Partenaire :

University of Arkansas

Discipline :

Life Sciences

Secteur :

Agriculture and Food; Sustainability & the Environment; Life Sciences (not health)

Université :

Dalhousie University

Programme :

Globalink Research Award

Harmonization of the engineering design and artificial intelligence

The research project aims at using artificial intelligence (AI) during the product design process. At the moment, computer-aided design (CAD) software are the primary central tools used by engineers to ease the product design process that can be quite difficult and long. However, the use of AI could further decrease the burden by automating parts of the product design process. To achieve this, AI tools and engineering design tools must be harmonized.This research will look at how reinforcement learning and/or evolutionary computation and engineering design tools can be integrated into a software in order to introduce a novel type of tool called AI-aided engineering design (AAED).

Voir la description complète du projet
Superviseur du corps professoral :

Glen Berseth

Étudiant :

Partenaire :

DesignBot Inc.

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

Le paysage adaptatif de la résistance aux antibiotiques

L’évolution de la résistance aux antimicrobiens est une crise sanitaire émergente qui menace notre capacité à contrôler les infections bactériennes. Les progrès dans les traitements médicaux dépendent de notre capacité de lutter contre les infections au moyen d’antibiotiques. Plus précisément, ce projet se concentrera sur la protéine dihydropteroate synthase (DHPS, E. coli folP), qui est une cible des antibiotiques des voies de synthèse des acides aminés essentiels. Nous utiliserons le balayage mutationnel profond, une approche qui combine la mutagenèse de saturation, la sélection et le séquençage profond pour tester les milliers de variantes mutationnelles. Cette approche sera effectuée en utilisant des concentrations d’antibiotiques variables (pour déterminer la dépendance posologique du niveau de résistance) et des niveaux d’induction différents du gène cible (pour déterminer la dépendance du coût d’aptitude et de la résistance au niveau d’expression du gène cible). Ces résultats quantifieront le paysage adaptatif d’une protéine ciblée par les antibiotiques, qui pourrait être utilisé pour prédire l’évolution de la résistance aux médicaments et la conception de nouvelles stratégies thérapeutiques.

Voir la description complète du projet
Superviseur du corps professoral :

Serohijos Adrian

Étudiant :

Partenaire :

Université de Montpellier

Discipline :

Life Sciences

Secteur :

Education

Université :

Université de Montréal

Programme :

Globalink Research Award

Les phytotechnologies et le développement de filières territoriales biosourcées : le cas du saule au Québec

L’objectif de ce projet est d’identifier les facteurs de développement socio-économiques ou technologiques à mobiliser pour favoriser l’émergence d’une nouvelle filière de valorisation du saule. À ce jour, le projet a permis d’étudier la double fonctionnalité du saule comme un outil phytotechnologique et comme source de biomasse. Les premiers résultats issus des analyses de cycle de vie (ACV) et de l’évaluation économique par l’utilisation de la valeur actuel nette (VAN) montrent que le potentiel environnemental et économique de l’utilisation du saule pour le traitement des eaux usées et la décontamination associée à la valorisation de la biomasse est intéressant dans le cadre du développement local.
La suite de ce projet de recherche se concentrera à décrire et définir les caractéristiques socio-économiques du développement d’une filière adaptée aux territoires et aux collectivités. Des approches telles que la mobilisation des connaissances et l’analyse fonctionnelle de la filière seront utilisées. Les informations ainsi analysées permettront de donner une description la plus précise possible de ce que serait une filière biosourcée issue du saule dans un contexte local.

Voir la description complète du projet
Superviseur du corps professoral :

Frédéric Pitre

Étudiant :

Partenaire :

Institut de recherche en économie contemporaine

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

Université de Montréal

Programme :

Accelerate

MechMonkey Business Development Internship

MechMonkey is an innovative technology platform dedicated to easing customers’ vehicle maintenance. Customers get in touch with their local dealerships and garages with the help of MechMonkey’s mobile app, and they can book, manage and track their service in-app. We are currently in the process of onboarding dealerships, so it involves developing a process for setting up dealerships in our application. This Business student will be our intern for spring-2022, and they will help speed up the onboarding process of dealerships.

Voir la description complète du projet
Superviseur du corps professoral :

Alex Stewart

Étudiant :

Partenaire :

MechMonkey

Discipline :

Business

Secteur :

Other services (except public administration); Professional, scientific and technical services

Université :

Memorial University of Newfoundland

Programme :

Business Strategy Internship

Development of RNAi Enhancers using a yeast-based bio-manufacturing and delivery system and applications as a biopesticide against economically important crop pests in Canada

Biological pest control strategies (bio pesticides) offer promise as non-toxic and environmentally-friendly alternatives to conventional chemical pesticides. The use of RNA-interference as a potential biopesticide has become increasingly attractive due to its highly specific activity against target pest species, non-toxic and biodegradability, but as an emerging technology, has its limitations. This project aims to increase the effectiveness of RNAi as a biopesticides by developing Baker’s yeast which produces different natural RNAi-enhancing molecules along side the RNAi-effector molecules, all inside of the yeast cell. Those yeast cells would be grown up using existing technology and inactivated and applied as a dead yeast cells to crops in the place of conventional chemical pesticides. Insect pests that consume any crop plants covered in the yeast-based biopesticide would be specifically targeted and killed by the RNAi-effectors within those yeast cells. Non-target species would be unharmed due to the highly specific nature of RNAi. The yeast biopesticide, being dead yeast cells, would simply biodegrade in the environment and poses to risk to the environment, ecosystem or human health.

Voir la description complète du projet
Superviseur du corps professoral :

Juli Carrillo

Étudiant :

Partenaire :

Renaissance BioScience Corporation

Discipline :

Life Sciences

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Elevate

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.