Innovative Projects Realized

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

31133 Completed Projects

2940
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5159
BC
837
MB
685
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882
SK
9292
ON
9695
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PE
601
NB
1161
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Projects by Category

Novel one-dimensional linkers for advanced inorganic polymers

Modern society heavily relies upon synthetic polymers, mainly based on carbon-based backbones and thus linked to a fossil-based industry. Polymers with non-carbon elements in there main chain are rather uncommon. Only polysiloxanes, known as silicones and polyphosphazenes have industrial and societal relevance. This project aims to investigate whether novel one-dimensional P,N-based polymers can be accessed using bisiminophosphoranes, a class of compounds that is unknown. Bringing together the expertise of the Hering-Junghans group in the isolation of highly reactive phosphorus species, with the Chitnis labs experience in the construction of novel P,N-materials the introduction of novel P,N- and P,B-based polymers with potential applications in sensing technologies and heterobimetallic catalysis.

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Faculty Supervisor:

Saurabh Chitnis

Student:

Partner:

Leibniz Institute for Catalysis

Discipline:

Mathematics

Sector:

Technology; Nanotechnology; Quantum Science

University:

Dalhousie University

Program:

Globalink Research Award

Developing a web-based 3D content platform as a Service (PaaS) by improving network capacities and implementing technological solutions to improve 3D capacities

With the recent emergence of the Metaverse, we observe an exponential omnipresence of 3D content in all technological fields, generating ever-large data sets on multiple different devices and a multiplication of user needs. Providing remote computing power, especially 3D rendering, represents a major technological challenge for many fields. However, real-time experiences and collaboration – which are two essential pillars of 3D’s potential – are not available at scale. Our project aims to build the first true real-time 3D rendering platform as a service. We are convinced this transformative technology will impact and change the way people interact and create with 3D. Providing a 3D engine as-a-service, enabling developers to seamlessly build 3D experiences, instantly accessible by all users on any device, at any time, would empower 3D content access for any types of application domains.

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Faculty Supervisor:

Loutfouz Zaman

Student:

Partner:

3dverse Technologies Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Ontario Institute of Technology

Program:

Accelerate

Development of an system for in-flight system identification of fixed-wing UAV.

Small unmanned aerial vehicles are increasingly being used in a wide range of surveillance applications, such as wildlife or crop monitoring. A key limitation restricting broader application is their limited endurance. This project deals with the determination of the flight characteristics of small unmanned aerial vehicles used for aerial observation. A better understanding of those characteristics can be used in the optimization of flight profiles to exploit energy in the ambient air, thus reducing the use of onboard energy and extending flight duration. The expected benefit to Shearwater Aerospace will be to enhance the competiveness of their software offerings which aim to allow users to improve their flight planning capabilities.

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Faculty Supervisor:

Meyer Nahon

Student:

Partner:

Shearwater Aerospace

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Examining the Potential Pitfalls of Using ChatGPT in Situational Judgment Tests

Selecting the ideal employee or trainee can be a difficult task. A situational judgement test (SJTs) is one type of test that can help identify the best applicants. However, due to the open-ended nature of such a test, test-takers may be able to use online tools or resources like ChatGPT to cheat and fake their answers. Currently, little to no research has looked at how ChatGPT may affect SJTs as the use of ChatGPT in everyday life is new to many people. The proposed project aims to examine these potential affects, as well as potential tools to identify those who may have cheated. This will benefit both Acuity Insights by providing a starting point to identify those who fake using ChatGPT, and more generally provide much needed insights into the affects of using ChatGPT in open-ended selection tests, such as SJTs.

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Faculty Supervisor:

Nicolas Roulin

Student:

Partner:

Acuity Insights

Discipline:

Sociology

Sector:

Education; Professional, scientific and technical services

University:

Saint Mary's University

Program:

Accelerate

Characterization and Improvement of Interfacial Properties of Cathode Materials forRechargeable Hybrid Aqueous Batteries Year Two

A new aqueous rechargeable battery combining an intercalation cathode with a metal anode has been developed recently. The energy density for a prototype battery is comparable or superior to commercial 2 V rechargeable batteries. There is a need to further improve the cycle performance and to reduce self-discharge effects of this battery. In this proposed research, novel surface improvements will be applied to the cathode material to improve the overall electrochemical performance of the battery and to improve the stability of the cathode material. The combined performance attributes of this new rechargeable aqueous battery indicate that it constitutes a viable alternative to commercial lead-acid system and is suitable for large scale energy storage application. POSITEC Group Canada, based in Toronto, is the receptor of this research results. This knowledge will be employed in the ongoing battery scale up efforts to improve the design of the aqueous rechargeable battery.

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Faculty Supervisor:

Pu Chen

Student:

Partner:

Positec Canada Ltd

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Waterloo

Program:

Elevate

Modélisation technico-économique électrique et hydrogène pancanadienne

De plus en plus de stratégies nationales de développement hydrogène voient le jour, et dans ce cadre, Artelys participe à un projet de recherche porté par un consortium international dont il fait partie « Hydrogen and Climate Partnership » (H2CLIP). Le projet vise à modéliser et étudier le future de l’économie de l’hydrogène, et plus particulièrement les échanges possibles entre le Canada et l’Allemagne au regard des objectifs économiques, écologiques et de sécurité d’approvisionnement.
Le stage qui s’inscrit dans ce projet R&D s’articule en deux parties. La première partie consiste à participer au développement du modèle électrique canadien déjà existant dans le logiciel Artelys Crystal. La deuxième partie consiste à modéliser des actifs de production d’hydrogène dans le même logiciel en s’appuyant sur une revue de littérature de l’état de l’art des technologies reliées à l’hydrogène.

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Faculty Supervisor:

Hanane Dagdougui

Student:

Partner:

Artelys Canada

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Polytechnique Montréal

Program:

Accelerate

Modern LLVM mapping of sequential code to task-/data-flow models

The high-level goal is to develop technology to enable more C++ applications to run well on many-core architectures such as recent AMD CPUs, GPUs, and combinations thereof (APUs). We expect to improve the capabilities of compilers like clang/LLVM to identify task-level parallelization opportunities that are not able to be identified today.

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Faculty Supervisor:

Angela Demke Brown

Student:

Partner:

AMD Canada

Discipline:

Computer science

Sector:

Manufacturing; Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Singing to be Heard: Understanding the social, geographic, and anthropogenic factors that influence the development of humpback whale song on Canada’s North Pacific coast

Humpback whales produce stereotyped, socially learned songs on their breeding grounds, yet little is known about song development outside the breeding season, or the effects of increased vessel traffic on humpback whale communication. With access to an extensive underwater Passive Acoustic Monitoring network along Canada’s BC coast, facilitated by the North Coast Cetacean Society and Raincoast Conservation Foundation, the intern will analyze humpback song during the feeding season recorded across multiple sites over years. The intern will explore the variation of humpback song across the feeding season, and the impact of singers’ vocal interactions and vessel noise on humpback whale song. Our findings will be relevant to other whale populations facing increases in anthropogenic noise, and other marine animals that rely on long-distance acoustic signals. The project aligns with the values of both partner organizations, advancing knowledge, informing conservation measures, and protecting the ecosystems and at-risk marine mammals of coastal British Columbia.

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Faculty Supervisor:

Daniel Mennill

Student:

Partner:

Raincoast Conservation Foundation;North Coast Cetacean Society

Discipline:

Life Sciences

Sector:

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

University:

University of Windsor

Program:

Elevate

Identifying potentiators for improved adeno associated virus based gene therapy for the central nervous system

Gene therapies are revolutionizing medicine, providing new therapeutics for diseases that previously were untreatable. In the central nervous system in particular, gene therapies hold great promise for saving lives and improving the quality of life of children and aged patients. The most common form of gene therapy that is used to treat patients involves the use of a virus deliver the gene of interest. However, getting enough into the cells of the patients is difficult, and represent a significant challenge to creating more life saving gene therapies. Here we are testing how drugs, called vector potentiators (VEPOs™), can be used to improve viral delivery of genes to the central nervous system, providing a platform for the further development of gene therapies.

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Faculty Supervisor:

Cindi M Morshead

Student:

Partner:

Stem Cell Network;Virano

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Dispositif de formation pédagonumérique sur la cyberdépendance au secondaire à l’aide de technologies innovantes

Il existe un vide de connaissances scientifiques autour de l’utilisation des hologrammes et de la réalité virtuelle à des fins pédagogiques, notamment pour l’enseignement au secondaire. À l’inverse, les savoirs débordent sur les impacts relatifs à une utilisation excessive des écrans chez les adolescents, mais peu d’étude tente de les contrer par une mobilisation concrète. Le caractère innovant de ce projet relève ainsi de l’élaboration d’une formation destinée à sensibiliser les élèves du secondaire sur le thème de la cyberdépendance à l’aide de ces technologies. Ce projet implique une étroite collaboration entre les partenaires et l’équipe de recherche pour planifier et développer cette formation ainsi qu’un modèle de formation. En ce sens, nous avons pour objectifs d’analyser l’état de la recherche sur la cyberdépendance, d’explorer les différentes utilisations des dites technologies, et de collaborer à la planification et au développement de la formation et du modèle de formation selon les intentions du projet.

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Faculty Supervisor:

Matthieu Petit

Student:

Partner:

Productions Six et Deux;Immersia Studio

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

Université de Sherbrooke

Program:

Accelerate

Advancing Generative Models for Vision and Language: A Collaborative Study with ServiceNow Research and ÉTS Montréal

This research project, a collaboration between ServiceNow and ÉTS Montréal, aims to improve generative AI (e.g. artificial intelligence models that learn to generate data), which can impact various creative and knowledge-based industries like graphic design, content creation, and research. The project aims to create advanced generative models that can generate a variety of data types, such as images, code, and language. By understanding the connections between these different data modalities, the AI systems developed will be able to better comprehend and adapt to human needs. This research focuses on producing more intelligent AI solutions that can seamlessly create and manipulate various forms of data while aligning with human preferences and requirements. By incorporating humans in the AI development process, the project aims to create AI systems that better align with how people perceive the world. This research will use cutting-edge methods and contribute to the scientific community while training a skilled research scientist and strengthening Canada and Montreal’s position in the AI ecosystem.

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Faculty Supervisor:

Marco Pedersoli

Student:

Partner:

ServiceNow Canada

Discipline:

Computer science

Sector:

Artificial Intelligence; Information and Communications Technology; Technology

University:

École de technologie supérieure

Program:

Accelerate

Large-scale turbulent/turbulent entrainment of mass and momentum in planar wakes

Turbulent entrainment denotes the spatio-temporal process by which turbulent flows expand by incorporating ambient fluid into the primary turbulent flow, e.g., the growth of a volcanic plume with distance from the crater or growth of a jet of pollutants being discharged into the atmosphere or hydrosphere. This research aims to investigate the effects of free-stream turbulence on the large-scale entrainment (engulfment) of mass and momentum into the canonical turbulent wake produced by a cylinder, using simultaneous planar laser-induced fluorescence (PLIF) and particle image velocimetry (PIV) measurements. The wake region will be marked with a passive scalar that faithfully tracks the motion of the flow within the wake. Engulfed fluid can be identified as pockets of ambient fluid (regions of low scalar concentration) within the boundaries of the wake from the PLIF images. The entrained mass and momentum in these pockets are subsequently estimated using the velocity data, provided by the PIV technique. This will, for the first time, shed light on the role of engulfment in wakes subjected to a turbulent background, as compared to a quiescent ambient…

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Faculty Supervisor:

Susan Gaskin

Student:

Partner:

Imperial College London

Discipline:

Engineering

Sector:

Education

University:

McGill University

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.