Projets novateurs réalisés

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

31 133 projets complétés

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Projets par catégorie

Revealing Trends in Quantum Technology with Natural Language Processing and Deep Learning Techniques

Recent years have witnessed a surge of interests in exploring emerging research directions of quantum technology, including quantum computing, quantum sensors, quantum cryptography, etc., and the number of scientific publications in the literature in this field has been growing steadily. However, due to the large volume of unstructured text data and the lack of automatic archiving of the obtained results, much of the information remains buried in textual details and can not be fully exploited for further usage and analysis. To meet this challenge, this project explores natural language processing (NLP) and deep learning (DL) methods to automatically discover useful patterns from such publications. More specifically, the project focuses on automatically retrieving academic papers, e.g., held in arXiv, Google Scholar, etc., summarizing large scale text collections and discovering ongoing hot topics across quantum tech, and presenting the insights on evolving trends back to end users. The discovered knowledge may help quantum tech companies, investors and governments identify future directions and trends, and ultimately gain a competitive advantage.

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Superviseur du corps professoral :

Yang Liu;Xu Sunny Wang

Étudiant :

Partenaire :

The Quantum Daily Inc.

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

Wilfrid Laurier University

Programme :

Accelerate

Machine learning approach to monitoring and decarbonizing mineral processes

In Canada’s 2030 Agenda for Sustainable Development, one of the goals is to take urgent action to combat climate
change and its impacts. According to this agenda, the target is to reduce Canada’s total greenhouse gas (GHG)
emissions by 30%. In order to transition to renewable energy, solar and wind power in combination with energy
storage such as lithium-ion batteries can be used to replace fossil fuels. Although this is approach has a great
potential in decreasing the carbon emissions in the long-term, it is also important to minimize the environmental
effects of the production of these batteries. The proposed research aims to reduce carbon emissions in mineral
processing activities using machine learning. An adaptable machine learning model will be developed to minimize
fuel consumption by processing plants. This will allow increasing the production of required minerals for lithiumion
batteries in Canada while meeting the GHG reduction targets.

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Superviseur du corps professoral :

Yuksel Asli Sari

Étudiant :

Partenaire :

Emily Thorn Corthay Inc.

Discipline :

Engineering

Secteur :

Professional, scientific and technical services

Université :

Queen's University

Programme :

Accelerate

Blockchain Financial and Risk Modeling with Tensor Decompositions and Deep Learning for Institutional Investors

Cryptocurrencies are a new asset class that are emerging in importance and adoption in global markets. Public blockchains such as Bitcoin and Ethereum offer access to an unprecedented amount of financial and technical data. With the increasing amount of blockchain data, it is important that investors and policy makers can access standardized methods of financial and risk analysis to be able to make informed investment and regulatory decisions. Blockchain data are often difficult to model. Tensor decompositions have previously been integrated with deep learning models to successfully predict stock and spot prices. However, there exists a gap in the literature of how to model cryptocurrency spot prices and derivatives. The primary objective of this project is to create and compare two tensor-based deep learning models in each of the two key areas: 1) Cryptocurrency Price Dynamics Modeling, and 2) Derivatives Price Dynamics Modeling.

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Superviseur du corps professoral :

Victoria Lemieux;Elina Robeva

Étudiant :

Partenaire :

AquaNow

Discipline :

Mathematics

Secteur :

Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Accelerate

Design and Development of Collaborative Robots for Greenhouse Harvesting

Collaborative robots, also known as Cobots, are devices that will help farmers in their farming duties to have better control over their crops, increase harvesting efficiency, and solve labor shortage issues in rural areas. These robots can operate near humans and complete a wide variety of tasks including harvesting crops, precise pesticide spraying and crop monitoring. Employing robots in agricultural settings is challenging, however, due to the variability in the environment they work in resulting in complex functional requirements. To safely operate near humans with any autonomy, these robots must have complex machine vision systems and sensors where a series of sensors connected to an on-board computer provide continuous feedback from the robot’s surroundings and the end gripper allowing the robot to collect data and complete its tasks safely. This project aims to develop a cobot using a robotic manipulator as a greenhouse harvesting device. Machine vision algorithms will be designed to allow the robot to navigate its space, identify objects and orient itself correctly. A compliant custom gripper with crops proper interface loadings will also be designed to provide proper grip while avoiding crops damage.

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Superviseur du corps professoral :

Mostafa El Sayed

Étudiant :

Partenaire :

ASP Laser Inc

Discipline :

Engineering

Secteur :

Technology; Manufacturing and Construction; Other

Université :

Carleton University

Programme :

Accelerate

Federalism and Politics of Compromise

This study will seek to build a normative theory of compromise and federalism. Several questions will serve as guidelines for our research: If federalism does depend on a specific type of compromise, what kind of compromise are we talking about? Would federalism be a normatively acceptable form of compromise?
Several analytical differences will be explored: federalism and subsidiarity, on the one hand, conflict and cohesion, on the other hand, and finally, justifications for federalism and the Nation-State.
This research project will be structured as follows: 1 – Analysis of problems and types of compromises giving rise to federal structures (risk of wars, conflicts between minorities, lack of recognition…); 2 – Possible solutions of federalism as a method of compromise; 3 – Factors maintaining the stability of the chosen solution (trust; cohesion etc.) and their relationship to compromise.
Its aim is to 1 – clarify the relationship between federalism and compromise 2 – refine our understanding of social cohesion and trust, as a preliminary condition for compromise, or effect of it and 3 – highlight instruments mobilized to ensure the stability of federal compromises.

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Superviseur du corps professoral :

Daniel Weinstock

Étudiant :

Partenaire :

Ecole des hautes études en sciences sociales

Discipline :

Sociology

Secteur :

Education

Université :

McGill University

Programme :

Globalink Research Award

Improvement of RZWQM2-P model to mitigate phosphorus loss from cropland to surface water bodies

Agricultural soils in the humid temperate regions (Ontario and Quebec) of Canada are the major source of non-point pollution from Phosphorus in freshwater rivers and lakes. The incidence of cyanobacterial blooms has increased dramatically in the last decade, which has been linked to P and N enrichment by subsurface drain effluent. Agricultural soils, treated with chemical fertilizers, manures, or biosolids, are deemed to be major non-point P sources in the Great Lakes and other areas. Subsurface drainage is a major conduit for P transported from agricultural soils in humid temperature regions of Canada. Various approaches have been developed to regulate agricultural management and mitigation of P pollution. One of them is to develop computer models that can accurately simulate and assess P loss from agricultural lands. Based on most recent science found in the fate and transport of P from soil to water, we developed and released (in 2020) a state-of-the-art phosphorus management model (RZWQM2-P) to simulate dissolved and particulate P losses in runoff and subsurface drainage. This newly developed model has attracted attention of researchers in USA, Island, and China.

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Superviseur du corps professoral :

Zhiming Qi

Étudiant :

Partenaire :

Ohio State University

Discipline :

Engineering

Secteur :

Water; Environmental Science and Technology; Agriculture and Food

Université :

McGill University

Programme :

Globalink Research Award

Innovation to Commercialization Optimization Research Project: What knowledge based tools can help WADE Canada accelerate the suitable deployment of DE technologies?

This research project will address the following question: What knowledge-based tools can help WADE Canada accelerate the suitable deployment of decentralized energy (DE) technologies? The proposed research will contribute to WADE Canada’s mission by: • Assessing the performance capabilities of DE technology providers, • Developing a tool to assess the needs of end users (those that have the potential to adopt DE technologies), • Providing recommendations as to how social license considerations can be incorporated into analytical tools, • Analyzing DE technologies and projects using Homer Energy Model and RETScreen, and • Developing a Knowledge Management (KM) framework for WADE Canada. The components of the proposed research address needs that have been identified by WADE Canada. The outcomes of this research and the development of knowledge-based tools will help build the organization’s capacity, increasing its ability to foster growth of the DE industry.

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Superviseur du corps professoral :

Irene Herremans

Étudiant :

Partenaire :

WADE Canada

Discipline :

Business

Secteur :

Utilities

Université :

University of Calgary

Programme :

Accelerate

Surface engineered Iron oxide nanoparticles for biomedical applications

The proposed research aims to develop nanotechnology based on low-cost iron oxide for easy detection, targeting and separation of biomacromolecules from mixtures of proteins and nucleic acids. Iron oxide nanoparticles will be coated with polymers on the surface. The surface exposed chemical groups will be tuned through synthetic articulation of the polymers. The iron oxide nanoparticles will also be encapsulated into the aqueous polymeric assemblies. The solutions containing polymer functionalized iron oxide nanoparticles will be introduced into biological fluids. The proteins and nucleic acids will interact with the polymer coating on iron-oxide nanoparticles based on the polymeric surface. The nanoparticles with bound biological cargo will be removed by simply applying an external magnetic field. Galenvs Sciences, the partner organization, is involved in developing biosensors and delivery methods for nucleic acids. This research will enhance the scope of their manufacturing process in designing more efficient magnetic nanoparticle-based biotechnology.

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Superviseur du corps professoral :

Ashok Kakkar

Étudiant :

Partenaire :

Galenvs

Discipline :

Physics

Secteur :

Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Plasma-catalytic synthesis of ammonia

A new collaboration with the Chair in Energy Systems at Technical University of Munich and the Catalytic & Plasma Processing Engineering laboratory was established in October 2021 through a successful bilateral-funded project on green plasma-catalytic ammonia synthesis. The main objectives of this initial one-year project is to demonstrate the possibility of integrating a plasma source with an existing catalytic plate reactor, and to perform a techno-economic assessment of the technology. The McGill team brings in expertise in plasma and catalytic process engineering and catalysis synthesis modeling, while the TUM team bring expertise in catalyst characterization, reactor and systems level modeling. My contributions to the project are manifold. At McGill, I will contribute to the design, integration and preliminary testing of a plasma source, as well as the early characterization of the catalyst material under thermal catalysis and plasma catalysis conditions. While at TUM, I am to further develop my skills in catalyst characterization, learn systems level modeling tools and contribute to the techno-economic assessment of the technology.

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Superviseur du corps professoral :

Sylvain Coulombe;Jan Kopyscinski

Étudiant :

Partenaire :

Technische Universität München (Garching)

Discipline :

Engineering

Secteur :

Education

Université :

McGill University

Programme :

Globalink Research Award

Former en éducation à la foi des adultes : formateurs et formés inscrits dans le « lifewide learning »

Depuis les années 1980, on constate que la littérature traitant de l’andragogie religieuse a jeté un nouveau regard sur l’environnement formatif aux adultes, recadrant la posture et le positionnement de la personne andragogue. De plus, cette période marque l’essor des fondements pédagogiques et des techniques d’intervention tous héritiers du courant socioconstructiviste. Une quarantaine d’années après les débuts de ces entreprises florissantes, force est de constater que trop peu d’études se sont intéressées aux processus de changement, de rupture et de fracture qui subsistent chez la personne andragogue lorsque celle-ci exerce ses fonctions. Dans le but de concevoir un modèle de formation résolument andragogique à l’intention de futurs andragogues en contexte non-formel, cette formation sera élaborée à partir des différents besoins de formation exprimés par les personnes formatrices, permettant ainsi une meilleure révision des pratiques de manière plus cohérente par rapport à cette discipline.

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Superviseur du corps professoral :

Yves Guérette

Étudiant :

Partenaire :

Frères des Écoles Chrétiennes

Discipline :

Sociology

Secteur :

Other services (except public administration)

Université :

Université Laval

Programme :

Accelerate

Town of Torbay: Subdivision Engineering Design Guidelines

As rural areas expand for residential and commercial development, research into the approach and guidelines to be used are necessary to guide the development of rural communities. This project looks into guidelines for future development in the Town of Torbay. The project will provide research into design guidelines to review and align with current standards in other municipalities, but will also lead the way in with regards to sustainability and innovation in design.

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Superviseur du corps professoral :

Deirdre Snook

Étudiant :

Partenaire :

Town of Torbay

Discipline :

Engineering

Secteur :

Public administration

Université :

College of the North Atlantic

Programme :

Business Strategy Internship

Best Practices-Based Standards Development for Digitized and Hands-on Biomanufacturing Training – Advanced Therapies Workforce Development

Demand for biomanufacturing capacity has grown to unexpected levels during the current pandemic and the global vaccine supply shortage. Academic programs provide workers with the necessary background qualifications for employment; however, they are unable to meet the job role-specific requirements for cleanroom-based biomanufacturing under current good manufacturing practices (GMP) necessary for production for patients. This leaves a great void of qualified talent for the available and upcoming job roles.
The Canadian Advanced Therapies Training Institute (CATTI) is developing and scaling e-learning and hands-on GMP training programs for efficient and rapid upskilling, reskilling and new skilling of the job-ready, qualified workforce required for workflow under aseptic conditions in Canada and internationally.
Internship objectives: to assist in the development of modules and courses structured around the innovative CATTI virtual e-learning curriculum (currently available internationally) and hands-on courses. A Research Analyst (intern) is required to research and consolidate protocols under best-practices for proficiency-based hands-on learning curriculum development and to identify relevant training material. A high level of competency in scientific communication, descriptive lay language and creative thinking are required.

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Superviseur du corps professoral :

Nicoletta Eliopoulos

Étudiant :

Partenaire :

Canadian Advanced Therapies Training Institute

Discipline :

Life Sciences

Secteur :

Education

Université :

McGill University

Programme :

Business Strategy Internship

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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.