Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

High Speed Motion Control for 3D Printers

3D printing has become a cornerstone technology for prototyping products during product development. However, the process is too slow for even small production runs. Pantheon Design in Vancouver has set out to increase the speed of extrusion printing by a factor of 10. To date, they have achieved a five-fold increase in print speed compared to other commercial printers. This was achieved by improving the physical design of the printers. To further increase the print speed, they need to optimize the software algorithms used to control the printers. They have partnered with a laboratory at UBC in Kelowna that has extensive experience controlling machine tools such as high-speed routers. This experience will be transferred to 3D printing in the course of this project and it is anticipated that print speed can be increased by at least another factor of two.

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Faculty Supervisor:

Rudolf Seethaler

Student:

Partner:

Pantheon Design Ltd.

Discipline:

Engineering

Sector:

Manufacturing

University:

The University of British Columbia - Okanagan

Program:

Accelerate

Attitudes and perceptions of traffic safety enforcement among police officers in Canada

High risk driving, (e.g., speeding, impaired, and distracted driving), is a major contributing factor to most traffic collision fatalities in Canada. An increase in perceived risk of being caught by police for risky driving has been shown to reduce the behaviour. Differences in the commitment to and effectiveness of enforcement is strongly impacted by the attitudes and behaviours of police officers toward road safety. A recent U.S. survey found that front line police officers often expressed doubts about the value of such enforcement, resulting in officers doing only minimal traffic safety enforcement. The proposed research attempts to determine the attitudes, beliefs, perceptions, and actions of officers relating to traffic enforcement in Canada. Recommendations to the policing community concerning strategies to increase traffic safety enforcement, and thus deter high risk driving, will be developed based on study findings. Outcomes of the proposed research will benefit the partner organization (CARSP) to better serve its members by expanding its services to road safety enforcement and by extension, road safety advocacy.

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Faculty Supervisor:

Babak Mehran

Student:

Partner:

The Canadian Association of Road Safety Professionals

Discipline:

Engineering

Sector:

Other services (except public administration)

University:

University of Manitoba

Program:

Accelerate

Aggregation and removal of microplastics and nanoplastics using conventional and alternative coagulants

Small plastic particles (microplastics and nanoplastics) are found in oceans, lakes, and rivers. Their effects on organisms and human beings are still unknown. Microplastics and nanoplastics found in the environment will be weathered, coated, and/or fragmented. Yet, the effects of these modifications on microplastic and nanoplastic removal during water treatment are yet to be thoroughly understood.
The objective of this project is to understand how the efficacy of coagulants is affected by changes in the surface of microplastics and nanoplastics. We will induce these changes by coating the particles with organic matter as well as weathering the particles. Maximizing the removal of these more realistic plastic particles will allow our partner to assess their coagulants and thus recommend what products are best for targeting microplastics and nanoplastics.

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Faculty Supervisor:

Nathalie Tufenkji

Student:

Partner:

Kemira

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Contribution à l’entraînement de modèles d’apprentissage statistique appliqué aux agents conversationnels en assurance

Les agents conversationnels ont révolutionné la manière d’interagir avec les fournisseurs de service, mais re-quièrent d’être correctement entraînés par rapport au domaine d’application visé. L’outil Olivo développé par Koïos Intelligence vise à offrir une expérience interactive, guidant l’utilisateur au travers des processus de pré-vente, de vente et d’après-vente pour tes les types d’assurances. Son amélioration se heurte cependant aux exigences computationnelles lourdes pour l’entraînement des modèles d’apprentissage automatique sous-jacent. Le projet vise à développer de nouvelles stratégies d’entraînement plus efficaces pour de tels pro-blèmes caractérisés par un jeu de données de très grande taille ainsi qu’un nombre de paramètres très impor-tant, rendant les outils usuels d’optimisation inapplicables ou très peu efficaces. Les nouvelles approches pro-posées aideront non seulement Koïos dans la mise au point de son outil, ainsi que la calibration de modèles avancés en apprentissage automatique.

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Faculty Supervisor:

Fabian Bastin

Student:

Partner:

Koïos Intelligence Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services; Retail trade

University:

Université de Montréal

Program:

Accelerate

Portail Web de la Société des sciences vasculaires du Québec comme outil à l’autonomisation : caractérisation de la population cible et motivations à son utilisation

La majorité des personnes atteintes de maladies chroniques souhaite participer activement dans la prise de décision concernant leur santé notamment en étant mieux informée. Un portail Web en santé peut être une des solutions. Ce projet a pour objectif de mieux connaître les utilisateurs d’un tel portail afin de l’adapter et de répondre pleinement aux besoins des utilisateurs. Ainsi deux questionnaires, seront construits, validés et distribués aux participants recrutés. Le premier questionnaire sera complété avant la consultation du portail et le second questionnaire après. De plus, deux entrevues de groupe seront effectuées afin de bonifier les données recueillies à la suite des questionnaires. L’analyse des données permettra d’une part d’optimiser le portail actuel afin de potentialiser son utilisation, et par la suite en poursuivre son développement d’une façon ciblée et éclairée.

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Faculty Supervisor:

Lyne Cloutier;André Michaud

Student:

Partner:

Société des sciences vasculaires du Québec

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

Université du Québec à Trois-Rivières

Program:

Accelerate

Thiopurines as host-targeted antivirals

We discovered that thiopurine drugs have potent antiviral activities against respiratory viruses including influenza viruses, SARS-CoV-2 and “common cold” coronaviruses. Inhibition of human GTPase enzymes is central to the antiviral mechanism of action of these thiopurines, but the precise target enzymes remain unknown. The primary goal of the current proposal is to work with Applied Pharmaceutical Innovation (API) to identify the molecular target(s) of these drugs, and to use this information to develop superior molecules with greater specificity, potency, and safety. This research will lay the groundwork for the development of a new class of broadly acting host-targeted antivirals that are not so easily undermined by rapid viral evolution.

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Faculty Supervisor:

Craig McCormick;Sultan Darvesh;Ian Pottie

Student:

Partner:

Applied Pharmaceutical Innovation

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services; Retail trade

University:

Dalhousie University

Program:

Accelerate

Geospatial intelligence in support of an integrated energy pathways prediction in Quebec Province

The integration of new technologies, on both supply and demand sides, with the existing energy infrastructure, is always a challenging ta sk. First, the a mount of energy demand must be predicted to manage the needs of deploying in the future. Second, the predicted energy must be introduced to a simulation tool (e.g., PTDC) to model the utilization behavior of each technology with respect to the capacity of the existing power grid. These steps allow us to readjust the input information and tuning parameters for forecasting the energy demands a nd pathways to deeply decarbonize the energy sectors. Accordingly, the intern needs 1) to build a database to forecast the energy demand for Quebec province based on the historical information a nd contributing indicators (GIS information), 2) feed the energy demand to PTDC power system simulation tool by creating a data pipeline, 3) Automating the whole process for scenario analysis. These tasks ca n help the intern improve his skills in terms of multidisciplinary research and development, data production, and data analysis.

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Faculty Supervisor:

Mir Abolfazl Mostafavi

Student:

Partner:

Hydro-Quebec

Discipline:

Engineering

Sector:

Utilities

University:

Université Laval

Program:

Accelerate

Aircraft optimization and sizing methodologies

The proposed research project concerns the development of optimization tools and sizing methodologies used to assess optimal structural airframe configurations and aerodynamic lines for given business cases. A PDF intern will be in charge of proposing improved optimization strategies, mainly related to composite material, and of adding specific capabilities inside the internally developed sizing tool (LibStress) with the aim to increase the reliability and accuracy of the optimization models. In addition to these tasks, the PDF will have to help coach Master’s students that are part of the development team. A PhD intern will work on the improvement of the efficiency and robustness of an optimization method used for aero-structural applications. One Master’s intern will be in charge of further developing an internal tool (WiSPER) related to the prediction of wingbox weight and stiffness used for the conceptual aircraft optimization phase. The second Master’s student will lead a comparative study highlighting the value of using alternative finite element method (FEM) tools that better address the optimization framework needs and constraints. The third Master’s student will take part in an optimization project related to specific wing components (i.e. ribs and spars). TOBECON’T

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Faculty Supervisor:

Daniel Therriault;Dominique Orban;Éric Laurendeau

Student:

Partner:

Bombardier Aerospace Inc (Montreal, QC)

Discipline:

Engineering

Sector:

Manufacturing; Transportation and warehousing

University:

École Polytechnique de Montréal; McGill University

Program:

Accelerate

Reconfigurable Intelligent Surface for Practical Implementation of IoT Networks

The race to the Internet of things (IoT) paradigm is fueled by leading technological enterprises and governmental institutions for a fast transition into the Fourth Industrial Revolution where machines, sensors and actuators can communicate and process data to enable a more efficient production cycle. To pave the way for the advance in IoT, next-generation wireless networks, sixth generation (6G), will play a crucial role in bridging the gap between the current technologies and achieving the diverse requirements of different IoT use cases. The work, in this project, will provide a significant improvement of users’ energy efficiency, network security and network connectivity for a practical implementation of IoT in 6G networks. Specifically, we will investigate the role of the reconfigurable intelligent surface (RIS) technology in improving the performance of IoT networks. Nevertheless, the integration between 6G and IoT will bring various economic prosperity and opportunities and various digital services to Canada.

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Faculty Supervisor:

Chadi Assi

Student:

Partner:

Virginia Polytechnic Institute and State University

Discipline:

Engineering

Sector:

Information and Communications Technology; Technology

University:

Concordia University

Program:

Globalink Research Award

Impact des matières résiduelles fertilisantes (MRF) sur la santé et la sécurité des sols receveurs

Ce projet de recherche vise à évaluer l’effet de la valorisation agricole des différents types de MRF sur l’amélioration de la santé globale des sols. En effet, l’impact de l’apport de MRF sur la régénération de la MO du sol est bien connu. Cependant, la capacité de ses produits à créer des fractions organiques stables de carbone demeure peu documentée. Il est donc important de réaliser une spéciation du carbone pour déterminer ses différentes proportions, la taille de ses particules et sa composition biochimique. Ce fractionnement aidera à développer des indicateurs de la santé des sols basés sur le carbone permettant d’expliquer l’effet des composantes carbonées des MRF sur la croissance et l’activité des microorganismes et des systèmes racinaires. Outre une utilisation plus efficace des MRF, ceci contribuera à l’accroissement de la rentabilité des entreprises agricoles, et à la limitation des risques environnementaux.

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Faculty Supervisor:

Lotfi Khiari

Student:

Partner:

Université de Carthage

Discipline:

Earth science

Sector:

Education

University:

Université Laval

Program:

Globalink Research Award

The role of hybrid and online learning environments in fostering entrepreneurial intent: A Study of the ARTprenuers program

Using a participatory action approach, this research will examine the potential of the ARTpreneurs program to support social connection, knowledge sharing, and skill building among young artists in the Atlantic region.

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Faculty Supervisor:

April Mandrona

Student:

Partner:

Youth Art Connection

Discipline:

Sociology

Sector:

Arts, entertainment and recreation; Education

University:

Nova Scotia College of Art & Design University

Program:

Accelerate

Board Management and Configuration for Datacenter FPGAs

Field Programmable Gate Arrays (FPGAs) are a programmable technology that enable the implementation of hardware circuits. FPGAs are now being used as computing devices, but lack the capabilities and services provided by the operating systems used in all software-based computing systems. The goal of this project is to develop some fundamental operating system features for FPGAs that will provide the ability to build applications that are portable between different FPGA boards, make it possible to change the program in the FPGA boards without rebooting the host computer, and facilitate the management of the FPGA board by software running on the host.

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Faculty Supervisor:

Paul Chow

Student:

Partner:

ArchES Computing Systems

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

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