Machine learning for modelling and control of direct air capture systems

The placement project will investigate the use of machine learning for modelling and control of an offshore wind powered direct air capture (DAC) system. DAC remove carbon dioxide (CO2) from the atmosphere which is injected into deep-sea reservoirs and are a key negative emission technology, which are becoming increasingly vital as a climate change mitigation […]

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A 3D agent-based model for simulating urban redevelopment at the building scale

This project will explore how Toronto’s planning regulations, real estate market and urban form influence the feasibility of urban redevelopment within the city. The expected results will contribute to society and industry through the creation of 3D spatial decision support system as one of the key deliverables. This tool will help inform stakeholders of the […]

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SLAM with Reinforcement Learning to aid mapping in highly dynamic scenes

This project aims to develop a reinforcement learning agent with access to depth cameras to aid map building for SLAM. Research has shown dynamic environments, where the majority of frame is taken up by dynamic objects, along with low fidelity and lighting can lead to low robustness in practical application. We hope to use reinforcement […]

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Generative AI for Dynamic Environment Creation in VR & AR

This project will use state-of-the-art advancements in artificial intelligence in order to automate and enhance the creation of virtual environments in virtual and augmented reality. By building upon previous successes incorporating artificial intelligence into the creation of 2D environments to enhance and guide the algorithmic generation process. By allowing the incorporated AI to respond and […]

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Projet VIREDA

L’étude vise à approfondir les perceptions-relations-occupation et sensations (PROS) liés aux attitudes et comportements alimentaires dysfonctionnels (ACAD) des sprotif.ve.s par les perspectives allocentriques et égocentriques de l’image du corps en réalité virtuelle. Les résultats attendus permettront une meilleure compréhension de l’image du corps chez les athlète et pourront soutenir les pratiques cliniques probantes pour un […]

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Technical viability of hydrogen gas storage in cased wells

The production of green hydrogen can alleviate the heavy burden of greenhouse gas emissions and allow the decarbonization of the industrial and transportation sectors. However, this energy carrier requires safe and economical storage solutions. An alternative and yet relatively underexplored solution is the storage of hydrogen gas (H2) in cased wells. For Quebec to become […]

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Assistive Software for Coronary Artery Bypass Graft Angiography

Due to the unpredictable location of coronary artery bypass grafts (CABG), angiography for CABG patients costs catheterization labs additional time, poses an added risk to patients, and incurs extra costs, therefore using additional resources at Sunnybrook Hospital and at a national scale. The development of an assistive software product that helps cardiologists find free graft […]

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Verified AI-driven stakeholder engagement: Researching and developing a sentiment analysis and data visualization platform

Many companies and organisations are required to engage in community engagement to gather stakeholder feedback. Yet, to date, there are key issues with current stakeholder engagement systems as they are inefficient, manual, and prone to error. The aim of this study is to investigate the current state of artificial intelligence and data visualization techniques with […]

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Modèles d’apprentissage profond pour l’auto-correction des prévisions météorologiques : application à la prévision de la demande sur le réseau électrique québécois et analyse de l’impact des tendances climatiques

A Hydro-Quebec TransEnergie (HQTE), la prevision de la charge (ou « prevision du MW») en operationnel repose sur de; model es parametriques constitues defonctions modelisantes non lineaires. Ces model es sont alimentes par des observations et des previsions meteorologiques, ces dernieres pouvant etre auto corrigees selon la ten dance observee dans Jes derniere; heures. S’ils […]

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Route optimization tool for vessels in ice-covered waters complying with carbon intensity index regulatory constraint

Route planning plays an integral part of each voyage in maritime operations. The selected route must be optimized in terms of economic factors and safety concerns. It also has to adhere to national and international regulations. Recently, the International Maritime Organization introduced a new regulatory instrument to promote the decarbonization of the shipping industry. The […]

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Image Processing for Digitalizing Engineering Drawings

This project will focus on digitalizing one specific type of engineering drawing by applying image processing technology. IPS has developed technology to digitalize different types of engineering drawings, and identified different technology and product development needs on a technology road map. This project is established for image processing for piping isometric drawings, and is important […]

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