Innovative Projects Realized

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

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Improving Handover Management in 5G New Radio

The demand for higher bandwidth and ultra-lower latency has increased due to the rise of wireless devices. To meet these challenges, fifth generation (5G) new radio (NR) offers enhanced bandwidths with higher data rates and ultra-lower latency for real-time applications. The ultra-dense networks in 5G NR can improve the coverage. However, it can cause problem of frequent user handovers in inter- or intra-network, leading to high delays and degraded quality of service (QoS). The handover in mobility is the primary key performance indicator (KPI), which requires reliability and lower latency. Inefficient network deployment can lead to issues in the user handover process, especially in high mobility. Therefore, optimizing the handover in 5G NR for high-mobility users is crucial. The research project will set the ground for long-term partnerships between Lakehead University and MUET.

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Faculty Supervisor:

Waleed Ejaz

Student:

Partner:

Mehran University of Engineering and Technology

Discipline:

Engineering

Sector:

Information and Communications Technology; Technology; Artificial Intelligence

University:

Lakehead University

Program:

Globalink Research Award

Exploring the effects of iTBS delivered by the cTMS vs traditional rTMS

Canada currently employs patterned non-invasive brain stimulation techniques in the treatment of conditions such as depression and anxiety. The goal of this study will aim to determine whether there is a more effective way to deliver brain stimulation compared to traditional methods. We will compare a new controlled TMS compared to the traditional TMS hardware. The outcomes of this research allow us to undercover whether the use of the controlled TMS is more effective and can cause longer lasting effects in the brain compared to the traditional methods. This will be important for treatments using brain stimulation as it will provide potentially more impactful therapeutic interventions that use non-invasive brain stimulation.

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Faculty Supervisor:

Aimee Nelson

Student:

Partner:

Rogue Research Inc

Discipline:

Life Sciences

Sector:

Manufacturing; Professional, scientific and technical services

University:

McMaster University

Program:

Accelerate

Monitoring and Interpretation of Anaerobic Digester Sensor Data

Anessa is developing software that assesses the feasibility of an anaerobic digestion facility at the earliest stages when trying to determine if a facility should be constructed. The challenge is that little information is fully known and there are a lot of factors that can affect the outcome to be positive or negative in the investment to construct and operate a facility.
Some of these factors are based on the organic waste materials quantity and quality that are available, but some of it is also based on the legislative policies and incentives for clean energy. This research proposes 3 aspects that are vital to advance our research into this domain. First, to improve and refine our algorithms for predicting the quantity and quality of biogas that can be attained from waste via anaerobic digestion. Second, to complete market research into the various policies and incentives in place worldwide and the effects of these policies for anaerobic digestion uptake in constructing facilities.
Third, to identify and implement a rigorous and automated quality assurance engineering practice on our software solution to ensure correctness.

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Faculty Supervisor:

David Bremner

Student:

Partner:

Anessa

Discipline:

Computer science

Sector:

Green/Alternative Energy; Artificial Intelligence; Information and Communications Technology

University:

University of New Brunswick

Program:

Accelerate

Prototyping an app to monitor and support patients’ recovery after receiving CAR-CD19 T-cell-therapy, in partnership with Curetrax

“THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW”

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Faculty Supervisor:

Joseph Ferenbok;Edyta Marcon

Student:

Partner:

Curetrax Inc.

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

Enhancing Tower Inspection with 5G-Connected Drone Systems

Rogers Communications, with around 8,000 cell towers in Canada, faces challenges in manual inspections, which are slow and risky. In collaboration with Rogers, our research team is developing a cutting-edge solution: small drones enhanced with 5G and AI technology. This approach aims to revolutionize tower inspections by providing faster, more accurate, and safer methods. The drones, augmented with AI at the Mobile Edge Computing level,
will significantly reduce the weight and operational costs, while also minimizing safety hazards. The upcoming phase of our project focuses on advanced computer vision algorithms for comprehensive 2D and 3D analysis,
enhancing inspection quality. Additionally, we plan to integrate Augmented Reality for more efficient, hands-free data collection, eliminating traditional control methods. We are also exploring the potential of generative AI
technologies, such as ChatGPT, to develop intuitive navigation paths for drones. This will streamline operations and boost data collection efficiency, heralding a new era in cellular tower maintenance.

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Faculty Supervisor:

Chul Min Yeum

Student:

Partner:

Rogers Communications Inc.

Discipline:

Engineering

Sector:

Information and cultural industries

University:

University of Waterloo

Program:

Accelerate

Deep learning-based quality control for tissue motion tracking in 2D-cine MRI-guided radiotherapy

With real-time acquisition of 2D imaging planes, 2D-cine MRI is often used to visualize rapidly moving tumors and organs-at-risk during radiotherapy, and automatic image registration of 2D-cine MRIs at different time points can assist in tracking tissue displacements. However, when sudden large motions occur, automatic registration algorithms can fail to track the radiation target, potentially resulting in sub-optimal therapeutic outcomes and damaging health tissues. Unfortunately, there is still a lack of automatic methods to detect such events. Therefore, the proposed project will establish novel deep learning algorithms to efficiently and robustly detect large tissue motions and the associated causes, as well as failed tissue motion tracking during radiotherapy. The resulting algorithm is expected to allow effective quality control for existing tissue motion tracking systems in radiotherapy for optimized and consistent radiation dose delivery to the treatment target, leading to an improved quality of life for cancer patients.

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Faculty Supervisor:

Yiming Xiao;Hassan Rivaz

Student:

Partner:

Elekta

Discipline:

Computer science

Sector:

Health and Related Sciences & Technology; Manufacturing

University:

Concordia University

Program:

Accelerate

Discrete Fracture Network (DFN) application in rock slope engineering

This project is a collaborative endeavour between Rocscience Inc. and Dr. Mitri’s research group at McGill University. Rocscience is a leading firm specializing in the development of geotechnical engineering software. The project aims to validate the discrete fracture network modelling (DFN) approach as a tool for rock slope stability design/ analysis in civil and mining engineering. Data of known slope failures – road cuts and open pit mine slopes – will be collected and analyzed with traditional methods as well with DFN methods. A comparison of the predictions will serve to validate the DFN and reveal its limitations, if any. The project will train a Master of Science Student in Mining Engineering.

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Faculty Supervisor:

Hani Mitri

Student:

Partner:

Rocscience Inc

Discipline:

Engineering

Sector:

Mining; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Analyse de la cinématique 3D de la marche chez des patients souffrant de douleur post-prothèse totale du genou

Les études démontrent que 15-20 % des patients sont insatisfaits en post prothèse totale du genou. Plusieurs de ces patients présentent de la douleur antérieure. Dans le cas du syndrome fémoro-patellaire, différents déficits biomécaniques pouvant expliquer ces symptômes ont été identifiés. Cependant, aucune étude ne s’est intéressée à la biomécanique du genou chez une population souffrant de douleur post prothèse. L’objectif de ce projet est d’analyser et de comparer la cinématique 3D du genou de patients souffrant de douleur post-prothèse totale du genou et ceux ayant une prothèse totale du genou asymptomatique. Ce projet permettra d’identifier des caractéristiques biomécaniques pouvant être associées au syndrome de douleur post prothèse totale du genou. Par la suite, nous pourrons transférer ces résultats à la clinique et permettre un traitement ciblé pour chaque patient.

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Faculty Supervisor:

Guy Grimard

Student:

Partner:

Emovi Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Université de Montréal

Program:

Accelerate

Environmental variability monitoring, data collection and modelling in CEA

Managing a consistent plant environment is critical to maximizing yield and quality of plant produced in a controlled environment agricultural (CEA) systems. The environmental conditions directly impact plant production which in turn impact plant product quality and marketability. The quality of the produced plant (leafy greens, or other plants) are influenced by both the environment and plant species/cultivar tested. Understanding and controlling the variability of the environmental conditions is critical for any plant production operation with the knowledge gained at one location able to be used to improve other production locations. The objective of this study is to design and build a small test growth chamber (< ½ m3) and evaluate and monitor the environmental conditions in the space using a suite of sensors and cameras to attempt to quantify the environmental parameters in this space. These environmental factors will be monitored and tracked, with and without plants, to understand sensor range and consistency. After construction of the testing system plants will be tested in the system to monitor plant growth and plant architecture to link the environmental data with plant production data and develop an environmental thermal and mass flow model to understand how this system operates...

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Faculty Supervisor:

Mark Lefsrud

Student:

Partner:

Canadensys Aerospace

Discipline:

Engineering

Sector:

Manufacturing; Professional, scientific and technical services

University:

McGill University

Program:

Accelerate

Determining the effectiveness of GIS habitat models for beaver (Castor canadensis) to locate watercourses with high beaver habitat potential in British Columbia

Streams and rivers benefit people and wildlife. Climate change has caused streams and rivers in British Columbia to become drier. Man-made dams retain water but are difficult to maintain. North American beaver (Castor canadensis) build dams that retain water, and quickly repair damage, which help solve man-made dam challenges. Ducks Unlimited Canada wants to use beavers to build dams to transition away from their man-made dams and use beavers to restore habitat for waterfowl. This project will use a computer model called the Beaver Restoration Assessment Tool that determines a watercourse’s capacity to support beaver dam construction. The tool’s accuracy will be examined by comparing the tool’s results with field surveys, and then determine if any inaccuracies can be found with hydrological modelling. The project’s results will ideally help Ducks Unlimited Canada locate beaver habitat and use beaver to mitigate climate change impacts in streams and rivers, and restore wetland habitat for waterfowl.

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Faculty Supervisor:

Douglas Ransome

Student:

Partner:

Ducks Unlimited Canada (BC)

Discipline:

Earth science

Sector:

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

University:

British Columbia Institute of Technology

Program:

Accelerate

Développement d’un pipeline de recherche documentaire ciblée

La montée en puissance de l’intelligence artificielle générative permet de construire de nouveaux produits à la fine pointe de la technologie. Dans le cadre de ce stage, un assistant virtuel capable de lire et interpréter de la documentation technique sera développé. Cette nouvelle approche permettra d’interroger une banque de document en langage naturel (autrement dit, de la même façon qu’on interrogerait un collègue) et d’obtenir des réponses précises avec les références exactes ayant menées à leur génération.

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Faculty Supervisor:

Frédérick Guillot;Éric Boudreault

Student:

Partner:

Optel Group

Discipline:

Computer science

Sector:

Manufacturing

University:

College d’enseignement general et professionnel de Ste-Foy

Program:

Business Strategy Internship

Deployment of Pulsed Methane Pyrolysis for Regional Clean Hydrogen Hub Development

NuVista Energy (“NuVista”) intends to develop a commercial scale demonstration of a multi-purpose hydrogen hub with blending for gas-fired turbines and future transportation fueling leveraging the novel Pulse Methane Pyrolysis (PMP) technology to significantly reduce GHG emissions related to fuel gas consumption. The demonstration project will be located at our Wembley gas plant cogeneration facility in Grande Prairie, Alberta. This location is within 1 km of two large peaker plants and offers easy access to heavy transportation traffic.
The project will uniquely investigate hydrogen blending for gas – fired turbine application and provide initial operational experiences that can leverage Alberta’s abundant supply of low-cost natural gas feedstock to accelerate its use across various industries. The integrated research project will also be focused on technical evaluations of hydrogen blending in natural gas – fired cogeneration facilities, technology review of solid carbon applications and hydrogen fuel cell deployment in heavy transport sector. The integration of clean hydrogen production and the diverse, large-scale offtake opportunities will enable substantial emissions reduction for power generation, transportation sectors in the region and beyond.

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Faculty Supervisor:

Irene Herremans

Student:

Partner:

NuVista Energy Ltd.

Discipline:

Engineering

Sector:

Mining

University:

University of Calgary

Program:

Business Strategy Internship

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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.