Innovative Projects Realized

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

30156 Completed Projects

2861
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5059
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812
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673
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842
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8957
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9368
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96
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579
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1120
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Projects by Category

Thermo-hydraulic performance of Lithium Battery in extreme weather conditions

The project is part of ‘InfiniBatt’ which is a smart battery system designed and developed by Motsai. This particular task for intern students aims to investigate the thermal simulation modeling of large range temperature (-40C~50C) controlled battery systems, with an emphasis on optimizing their performance, efficiency, and safety. The study involves the development and implementation of advanced thermal models to accurately predict the thermal behavior of these systems under extreme conditions. The project will simulate and use the finite volume analysis (FVA) tools to create detailed 3D models that account for the complexities of the battery’s geometry, material properties, and thermal management components. These solutions will be crucial for the creation of future connected systems, where effective thermal management is essential to maintaining the reliability and longevity of batteries.

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Faculty Supervisor:

Ziad Saghir

Student:

Partner:

Motsai Research

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Toronto Metropolitan University

Program:

Accelerate

Modélisation énergétique d’une grande tour à bureaux pour l’optimisation énergétique et la réduction de l’empreinte carbone

Le projet vise à modéliser la consommation énergétique d’une grande tour à bureaux à Montréal à l’aide d’un logiciel dans le but de simuler sa performance avant et après l’application de différentes mesures permettant de réduire l’intensité énergétique et l’empreinte carbone. Ce projet sera utile pour le client qui obtiendra des pistes de réflexion pour limiter la consommation d’énergie de la tour et pourra servir de point de départ pour l’aide à la décision.

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Faculty Supervisor:

Stanislaw Kajl

Student:

Partner:

Equans Services

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program:

Business Strategy Internship

Optimizing Mushroom Growth Monitoring through Machine Learning and Vision Systems

Mycro Harvest is a agriculture technology start-up focusing on revolutionizing mushroom production through implementing cost-effective automation and artificial intelligence models. Despite the increasing demand for mushrooms in various applications ranging from food to bioplastics, the industry faces significant challenges in scalability and efficiency. The application of our AI-based vision models aims to automate what has previously been a labor-intensive and specialized task, thus increasing yield, while decreasing crop loss and enabling more scalable farming operations.

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Faculty Supervisor:

Stephen Murphy

Student:

Partner:

Mycro Harvest

Discipline:

Computer science

Sector:

Agriculture

University:

University of Waterloo

Program:

Business Strategy Internship

Review of best practices in measuring, monitoring, evaluating and reporting (MER) of climate resilience as relevant to the City of Toronto

Urban areas will be some of the most complex and important sites of resilience planning in the 21st century.
Despite notable efforts, best practices for how local and municipal governments set goals and track progress toward resilience have yet to be established or widely agreed upon. The City of Toronto seeks input into the development of an approach for measuring, monitoring, evaluation, and reporting (MER) of climate resilience. This project will draw on a literature review and input from City staff to address several interrelated questions. What are the needs for a MER framework related to climate resilience for the City of Toronto? What are the decisions that feed into the design of such a framework? What guidance or best practices are available from similar efforts underway in other cities and relevant academic literatures? The deliverables of the project will be a short report and a presentation to City staff.

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Faculty Supervisor:

Robert Soden

Student:

Partner:

City of Toronto

Discipline:

Sociology

Sector:

Health and Related Sciences & Technology; Public administration; Utilities

University:

University of Toronto

Program:

Accelerate

Analysis of Fluid-Structure Interactions in Constricted Flow

Atherosclerosis is a chronic disease of the cardiovascular system that involves hardening of arteries due to the deposition of plaque [1]. Atherosclerotic lesions in different locations may lead to a variety of diseases such as Coronary Artery Disease, Cerebrovascular Accident and Peripheral Artery Occlusive Disease which should be detected at early stage [2, 3]. To diagnose a stenosis, phonoangiography is a noninvasive
method and should be preferred over invasive approaches [4]. By analyzing the sound spectra of the arterial murmurs, this method is designed to detect the severity of the stenotic occlusion in the peripheral. Sound spectra measured in human subjects with stenosed peripheral arteries will be compared with the wall pressure spectra of a fully developed turbulent constricted flow due to the similarity between the two [5-8]. By studying the pulsatile constricted flow numerically and experimentally, this investigation is expected to provide researchers with improved understanding of constricted pulsatile flow pattern.

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Faculty Supervisor:

David Ting

Student:

Partner:

Middle East Technical University

Discipline:

Engineering

Sector:

Education

University:

University of Windsor

Program:

Globalink Research Award

Implementation of Data Generated from Competitive Analysis into Investor Presentation

With increased scrutiny of early stage investment for biotech start-ups linked to economics downturn from its peak in 2020-2021, targeted investor engagement is key for a successful financing round. Despite possessing highly derisked and innovative technology, data presentation must be refined in a highly digestable manner to attract interest from notable investors and potential strategic partners. Thus, we propose that the implementation of our data generated based on competitive analysis in our investor presentation will strengthen our engagement with investors. Through the identification of early stage investor pipeline for engagement and refining data targeted towards the audience’s level of technical understanding, we believe that the successful completion of this project will help us secure financing towards HDAX Therapeutics’ seed round.

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Faculty Supervisor:

Patrick Gunning

Student:

Partner:

HDAX Therapeutics

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Business Strategy Internship

Predicting the Winning Bidding Price of Construction Projects by Ensemble Machine Learning

Louis W. Bray Construction Limited (LWB) is a mid-sized heavy civil contractor with focused efforts in Eastern Ontario. One of its largest challenges is competing with larger competitors and maintaining competitive pricing to all its clients, including all levels of government. Its biggest risk is the procurement process, including tendering and bidding. This project aims to help LWB create a robust winning bidding price prediction model based on their historical data of tenders and cost analysis forms. This project gives LWB further insight into proper bidding approaches and allows it to compete on a larger scale. LWB will be able to use this data to question its pricing model, limit errors, and maximize profitability. Furthermore, if the bid is well understood and there is enough information, there becomes less of a need to price in the risk of errors. This leads to higher competitiveness and better pricing for all clients.

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Faculty Supervisor:

Yuan Tian

Student:

Partner:

Louis W. Bray Construction

Discipline:

Computer science

Sector:

Construction and infrastructure

University:

Queen's University

Program:

Business Strategy Internship

Building Manager Communication Competencies in MBA Programs

Communication skills are among the most valuable abilities managers bring to their roles. Strong communication skills are essential for workplace productivity, safety, teamwork, and employee engagement. However, research shows many managers struggle to communicate effectively. This project will assess which communication skills are important to employers, and Master of Business Administration (MBA) staff and students and how MBA programs in Canada can help future managers build these skills

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Faculty Supervisor:

Carolin Rekar Munro

Student:

Partner:

SMB Acuity

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

Royal Roads University

Program:

Accelerate

Investigation of mean flow and turbulence around submerged spur dikes

Riverbank erosion is a major concern around the world, caused by high river floods. Occurrences of intense floods in rivers, attributed to climate change, such as the recent (July 2023) incidents of cloudbursts and accompanying riverbank washouts in several parts of northern (Himalayan) India provide glaring examples. Protection against riverbank erosion is, therefore, a formidable engineering challenge and the present work proposes to study the effect of submerged spur dikes, which are short underwater structures, in arresting bank erosion. The proposal plans to investigate the velocity and turbulence field around the structure through experiments carried out in physical models in the home institution (at Indian Institute of Technology Kharagpur, India) and complement these with computer simulations carried out at the host institution (University of Windsor, Canada). The findings from the project are expected to help in the adoption of more effective and eco-friendly approaches in tackling riverbank erosion and contribute to the long-term sustainability of river ecosystems.

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Faculty Supervisor:

Ramaswami Balachandar

Student:

Partner:

Indian Institute of Technology Kharagpur

Discipline:

Engineering

Sector:

Education

University:

University of Windsor

Program:

Globalink Research Award

Design and Construction of an On-Demand, Submerged Combustion, Direct-Contact Water Heater operating on Hydrogen for use in the Agricultural Sector

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

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Faculty Supervisor:

Michael Pegg

Student:

Partner:

Net Zero Atlantic

Discipline:

Engineering

Sector:

Manufacturing and Construction; Clean Technology; Energy and Utilities

University:

Dalhousie University

Program:

Accelerate

Generative AI Enhanced Financial and Risk Analytics – Part 1

In this research project, we plan to explore potential uses of generative AI models, such as ChatGPT, to enhance financial modeling. Trusting financial advice from Generative Pre-Trained Transformer (GPT) models is a challenge due to model “hallucinations”, necessitating careful verification and validation of the output. Therefore, we plan to take an alternative approach. We would use ChatGPT to obtain a sequence of steps to solve a financial modeling problem and a list of potential data sources. Subsequently, we would validate generated output and interpret it as a sequence of computational steps to be performed with quantitative algorithms. Next, we would perform computations with quantitative finance algorithms such as Monte Carlo simulations, risk modeling and portfolio optimization. To communicate obtained computational results to a decision-maker we would feed numerical results to ChatGPT asking to interpret those. Combining new generative AI models with established numerical financial algorithms may allow us to obtain better results. By blending strengths of AI-generated problem solving methodologies with advanced quantitative finance techniques, we hope to achieve more robust and favorable investment and risk management outcomes, suggesting a hybrid approach for more effective and reliable financial decision-making in the future.

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Faculty Supervisor:

Roy Kwon

Student:

Partner:

Ukrainian Catholic University

Discipline:

Engineering

Sector:

Artificial Intelligence; Finance and Insurance; Advanced Manufacturing

University:

University of Toronto

Program:

Globalink Research Award

Modularité de produit et complexité manufacturière dans le contexte des produits récréatifs

Le développement de produits et l’introduction de nouvelles technologies dans la production des produits récréatifs se sont considérablement accélérés chez BRP, Leader mondial dans la conception et la fabrication de produits récréatifs. Cette cadence de croissance a généré un niveau élevé de complexité dans l’organisation. Le département de stratégie manufacturière est présentement à la recherche de solutions pour les assister dans le développer d’une méthodologie adaptée à la réalité de BRP et le déploiement d’indicateurs mesurables qui serviront à mesurer, effectuer un suivi et à le stabiliser en continuant de rencontrer les attentes de leurs clients.
Le partenaire du projet est un leader dans la conception, fabrication et commercialisation des produits récréatifs. La personnalisation des produits et l’augmentation des systèmes embarqués sur les véhicules contribuent à alourdir les tâches de reconfigurations qu’il faut apporter à la ligne d’assemblage. Un indice de complexité et une métrique de suivi contribueront à réduire le risque associé à cette complexité. De telles approches ont été lancées récemment par Toyota, BRP souhaite valider leur potentiel dans le contexte des produits récréatifs.

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Faculty Supervisor:

Souheil-Antoine Tahan;Antoine Tahan;Lucas Hof

Student:

Partner:

Bombardier Produits Recreatifs

Discipline:

Engineering

Sector:

Manufacturing

University:

École de technologie supérieure

Program:

Accelerate

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