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

Multi-Initiative and Latent Communications-Tolerant Controller for a Clean Uncrewed Surface Vehicle Tasked to Environmental Assessments

The outcome of the Project is an intelligent uncrewed surface vehicle or USV (free-swimming robot) that can deploy an underwater remotely operated vehicle or ROV (robot tethered to the surface vehicle) to survey and inspect the submerged infrastructure of offshore wind farms. Its advantages to Canada include its much smaller carbon footprint compared to the 20 – 28 m length ships that support offshore ROV operations. This integrated USV-ROV robot is also more economical and thus accessible to offshore wind farms compared to surface ships that provide the same service. This ultimate reduces an important recurring cost for offshore Canadian wind farmers and may encourage more wind farms to be established.
HydroSurv (headquartered in the UK) is the industrial partner of this collaboration. HydroSurv wants to create a technical development branch in Nova Scotia Canada at the Centre for Ocean Venture Entrepreneurship. The collaboration is a component of HydroSurv’s contribution to an approved Oceans Supercluster Project entitled: “AROWIND – Autonomous Remote Offshore Wind Inspection, Navigation and Deployment”.

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Faculty Supervisor:

Mae L. Seto

Student:

Partner:

Hydrosurv

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program:

Elevate

Development of a highly productive stable cell line to streamline recombinant adeno-associated virus (AAV) production

Having an efficient and scalable manufacturing production process of Adeno-Associated Virus (AAV) vectors remains one of the most challenging problems in the industry for meeting the high demand of AAV for clinical application in gene therapy. The current production process of AAV relies on the co-transfection of three plasmids containing the main virus structural and regulatory genes, the helper function and the gene of interest. Transient transfection of multiple plasmids is not optimal, leading to a small portion of the cells being productive. This project proposes the development of a highly productive stable cell line through cell line engineering enabling streamlined scalable AAV production.

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Faculty Supervisor:

Olivier Henry

Student:

Partner:

VVector Bio, Inc

Discipline:

Life Sciences

Sector:

Biomanufacturing; Pharmaceuticals; Life Sciences (not health)

University:

Polytechnique Montréal

Program:

Elevate

High-Fidelity Aerodynamic Optimization of eVTOL Rotor Designs

The PDF will start by validating the use of the open-source Stanford University Unstructured (SU2) RANS-based CFD solver for rotorcraft design. This includes generating a mesh and configuration file with SU2 and performing a grid convergence study to validate SU2 and the chosen turbulence models against the reference experimental data. Following this, PDF will generate a mesh and configuration file for the reference rotor geometry provided by the partner organization, Limosa Inc. They will then adapt the configuration file for the designed operating conditions of the Limosa eVTOL in both hover and forward flight configurations. With this basic configuration implemented, PDF will add control points and design parameters for the optimization and use SU2 to get the sensitivity of the objective functions to these design parameters. Finally, PDF will optimize the blades using the sensitivities and the steepest descent algorithm implemented in the SU2 optimization toolbox to maximize the figure of merit and the propeller efficiency during the forward flight in order to minimize the amount of power required to sustain hover during the take-off and landing phases of flight and to increase the maximum aircraft range. The outcome of this work will be an open-source framework for eVTOL rotor optimization and a set of rotors optimized specifically for the Limosa eVTOL concept based on its specific mission profile to improve LimoConnect eVTOL maneuverability and flight performance. The optimized design will benefit lower power and lighter aircraft to serve the Canadian community in urban and rural areas.

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Faculty Supervisor:

Brian Vermeire

Student:

Partner:

Limosa

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program:

Elevate

Acoustic Impact Analysis of Optimized eVTOL Rotor Designs

The aviation industry is a significant contributor to anthropogenic greenhouse gas emissions, and the influence of these emissions is exacerbated by the fact that they are emitted at high altitudes. This project advances the development of fully electric Urban Air Mobility (UAM) systems, which have the potential to significantly reduce emissions relative to existing jet fuel powered aircraft. Unlike conventional aircraft, which use jet fuel-based propulsion systems, UAM is expected to utilize fully Electric Vertical TakeOff and Landing (eVTOL) aircraft. These aircraft are novel in that they will have near zero direct greenhouse gas emissions and will be suitable for operation in urban environments that are inaccessible with current generation aircraft such as helicopters and fixed wing aircraft. Industrial partner Limosa Inc. is in the process of designing an all new eVTOL aircraft for operation in Canada: LimoConnect. A curcial aspect for the adoption of these new aircraft concerns the determination and the mitigation of the noise generated during urban mission operations. Currently, most of the noise impact analysis relies on empirical correlations, wind tunnel testing and low-fidelity computational methods. These inefficiencies in accurate acoustic footprint prediction, prevent the development of cost-effective and reliable design cycles for eVTOL.

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Faculty Supervisor:

Brian Vermeire

Student:

Partner:

Limosa

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program:

Elevate

Optimized qudit-based computation schemes using optical neural networks

Since the onset of the digital age, the need to process tremendous amounts of data has become of critical importance for healthcare, financial, and government sectors. This has made information processing tasks increasingly complex, and thus far, there exists no realistic platform that can meet the stringent requirements of the computation industry, e.g., in terms of power and speed. A potential solution are systems that can enable parallel processing of data. This can be realized by using photonic bits that exist in multiple states simultaneously, thus demanding the use of only a few bits due to the increased information density stored within them. Qudits are excellent resources in this regard, since they can store and process large volumes of data at high speeds, and with high noise tolerances, while keeping the circuit complexity low. The challenge here, is the efficient generation and characterization of qudit states, and the implementation of universal computation gates..

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Faculty Supervisor:

Roberto Morandotti

Student:

Partner:

Ki3 Photonics

Discipline:

Physics

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Elevate

Towards phenomenal and literal lightness in precast concrete MURB [Multi Unit Residential Building] design

3D concrete printing and the digital design processes associated with this technology are developing quickly across the world, both in academia and in practice, moving from the realm of the artisan to the early stages of automated manufacturing.
How do architects engage this emerging new field that combines fabrication technologies with material in their design processes? Emerging use of ultra-high-performance concrete (UHPC) creates designs without steel reinforcing in thinner structures by using fine sand and integrated fibre reinforcements. By combining this advanced concrete mixture with 3D printing technologies, this research looks to engage how the digital design and fabrication knowledge and processes in architecture will inform not only what our structures of the future are like, but how they are made in a continuous process of design thinking in a series of prototype structures and hands-on experiments.

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Faculty Supervisor:

Neil Minuk

Student:

Partner:

Canadian Precast/Prestressed Concrete Institute

Discipline:

Engineering

Sector:

Construction and infrastructure; Professional, scientific and technical services

University:

University of Manitoba

Program:

Accelerate

Développement de la médiation de la musique au Festival de Lanaudière

Le Festival de Lanaudière est une organisation d’envergure au Canada. Rassemblant des dizaines de milliers de spectateurs depuis 1978, ce festival a pour mission de rassembler les gens de partout autour de la musique classique. C’est dans cette perspective d’engagement dans la collectivité que s’inscrit mon projet de recherche qui suivra les débuts du développement de la médiation culturelle dans cette institution. Tout en développant des activités novatrices ainsi qu’une mesure de l’impact de ces activités de médiation pour le Festival de Lanaudière, ce projet permettra 1/ de développer une connaissance générale de la médiation, grâce à l’étude de cas de ce festival, et 2/ d’apporter un regard critique sur l’évaluation de la médiation culturelle.

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Faculty Supervisor:

Michel Duchesneau

Student:

Partner:

Festival de Lanaudière

Discipline:

Sociology

Sector:

Arts, entertainment and recreation

University:

Université de Montréal

Program:

Accelerate

Thales : Génération de graphes de scènes pour l’interprétation d’images

Pour accompagner les préposés dans les appels 9-1-1, Thales vise à proposer un outil qui décrit dans un texte en langage naturel les éléments pertinents d’une scène d’urgence. L’interprétation des images dans le sens où on établit la relation et l’interaction des entités de ces images est une étape essentielle dans des tâches comme la description textuelle d’une image. Un graphe de scène est une façon bien positionnée pour établir cette information. Pour cette raison, ce projet de stage propose de regarder et évaluer certaines méthodes de génération de graphes de scène typiques sur des images d’urgences. Ce projet tentera également de regarder des moyens pour mettre en évidence les relations pertinentes dans le contexte de la situation examinée.

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Faculty Supervisor:

Christian Gagné;Jean-Francois Lalonde

Student:

Partner:

Thales Recherche et Technologie

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology

University:

Université Laval

Program:

Accelerate

High-dimensional hyper-entangled photonic cluster states towards quantum information science applications

Quantum technologies (QTs) such as quantum computing, information processing, and sensing will characterize next generation lives. For this reason, many efforts have been spent to implement quantum platforms for integrated, affordable, and reproducible QTs. Quantum photonics provides an ideal framework to achieve this goal. In this project, we will deliver an integrated quantum photonic platform capable of generating complex entangled states based on few photons simultaneously entangled in high-dimensional time and frequency modes. We will use these states for applied quantum science, specifically to implement advanced high-dimensional quantum computing operations and algorithms. We will further analyze the quantum state entanglement via quantum operators (namely, witnesses) experimentally optimized with machine learning techniques, with the scope of making them practically feasible and highly noise robust. Such a quantum state generation and subsequent quantum computing operations will critically rely on the devices provided by the partner organization (Ki3 Photonics), i.e., an on-chip photon source and a stabilization system for time mode manipulation. Ki3 Photonics targets the scalable generation, multiplexing, and processing of photons via low-footprint and power-efficient hardware – all within the same optical fibers in widespread use today. In this sense, the industrial partner will highly benefit from the project outcomes.

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Faculty Supervisor:

Roberto Morandotti

Student:

Partner:

Ki3 Photonics

Discipline:

Physics

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université du Québec : Institut national de la recherche scientifique

Program:

Elevate

From visual analysis to visual analytics

Visual analytics “the science of analytical reasoning facilitated by interactive visual interfaces” is a new approach to the timely and effective analysis of complex technical and operational systems. Our previous MITACS internships at Aeroinfo applied this scientific approach to mixed-initiative human/computational analysis to improve aircraft safety & reliability analysis and business planning, resulting in changes to aircraft design and pilot training. The next step in operationalizing visual analytics for Aeronifo is to capture “best practices” from analyses that have been proven successful, and to propose ways to select and customize analysis software and methods to replicate and extend those successes.This internship cluster will accomplish this by applying a new approach to analysis developed in our laboratory that is based on H. Clark’s Joint Activity Theory developed at Stanford University. Outcomes will be methodological, in the form of improved analysis techniques and training, and technological, in the form of better analysis suites.

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Faculty Supervisor:

Brian Fisher

Student:

Partner:

Boeing Vancouver (Richmond, BC);University of British Columbia

Discipline:

Computer science

Sector:

Aerospace; Information and Communications Technology

University:

The University of British Columbia

Program:

Accelerate

Exploring Generation Alpha as Environmental Stewards

In recent years we’ve seen evidence of youth activism related to important social causes. Although much has been written about Millennials and Generation Z, little is known about the generation of young people who are currently at the precipice of adolescence – Generation Alpha (born 2010 and later). This generation will inherit the post-COVID society and will be called upon to meet significant challenges including climate change, economic inequality, Indigenous equity, LGBTQ+ equity, human rights and balancing technological advances with ethical considerations. This study is the first to assess Generation Alpha’s attitudes and behaviours toward society’s greatest challenges, at a critical point in their developmental lifespan – at the cusp of adolescence, when personal and social conscience take form. This will allow organizations in the not-for-profit sector to understand the changing nature of youth to better engage young Canadians in actively solving problems facing the world now and in the future. It will also provide critical benchmark data that will allow researchers to track changes in this generation’s attitudes and behavious as they proceed through the lifespan.

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Faculty Supervisor:

Sean Lyons

Student:

Partner:

SoWCool

Discipline:

Business

Sector:

Other services (except public administration)

University:

University of Guelph

Program:

Accelerate

Hybrid Architectures for Spoken Language Understanding

Most approaches to intelligent, speech-enabled devices today in the research world involve training neural networks on prohibitively large amounts of examples, with little direct control over what is actually learned. On the other hand, this approach often cannot be applied in real-world settings where the required amount of examples does not yet exist, or the expectations of the system’s performance are so high that its mistakes must somehow be indirectly corrected. Instead, in real applications, very inflexible, application-specific grammars are often used. This project will attempt to combine the best of both of these approaches.

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Faculty Supervisor:

Gerald Penn

Student:

Partner:

iNAGO

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Toronto

Program:

Elevate

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