Exploring methods of intelligent development of P&IDs and generation of HAZOP notes

Safety is one of the greatest concerns during projects lifecycles, due to the potential risks and hazards inherent in their activities. To reach an acceptable level of safety in projects and guarantee a hazard-free work environment, some structured approaches should be applied. In this respect, Hazard and Operability (HAZOP) analysis is a systematic process for […]

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Assessing the Feasibility of Solar-PV Facade Integration for Multi-Story Buildings: A Technical and Economic Study

The proposed project aims at exploring the technical and financial feasibility of integrating Photovoltaic (PV) technologies in available facades of a new multistorey building. The research consists of two main design objectives1) exploring various characteristics of available facades to functionally and aesthetically integrate PV modules, and 2) explore the feasibility of the designed PV façade […]

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Développement d’une méthode de tokenisation du génome des cancers

Ce projet vise à transformer la prise en charge des patients atteints de cancer en combinant l’intelligence artificielle et l’analyse du génome. En utilisant des techniques avancées d’apprentissage automatisés, nous allons développer un modèle novateur de tokenisation du génome des cancers, permettant d’identifier rapidement les marqueurs génétiques associés à la maladie. En parallèle, nous allons […]

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Nozzle Based Localized Ultra Active Micro-Reactor (UAMR) 3D printer

The present project introduces the fabrication of a portable 3D printing apparatus based on a newly developed technology called Direct Sound Printing (DSP) for 3D printing of materials such as Silicones and PDMS that cannot be printed by any other existing technologies unless changing their composition by using additives that can make the material toxic […]

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Fast optimization of time dependent vehicle routing problems with profits

In this project we will study distribution problems arising when time-sensitive information needs to be collected and handled appropriately. These problems arise as a business need of our partner organization to support the decision systems of several customers that require fast and reliable optimization methods to design distribution plans under tight time considerations. Either the […]

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Virtual Relief Therapy

La douleur chronique affecte des millions de personnes dans le monde, impactant leur vie quotidienne et provoquant une crise mondiale des opioïdes. Ceux affligés par la douleur ont tendance à avoir recours aux pilules anti-inflammatoires (e.g: Advil ou Tylenol), ou d’autres médicaments plus forts. Mais qu’en est-il d’autres solutions? La réalité virtuelle est utilisée dans […]

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Research on the technological needs and information and communication technologies needs in Canada’s nonprofit sector and small businesses.

This project aims to research the vital needs of nonprofit organizations, small enterprises and startups in Canada and determine the status and organizational decision-making around information and communication technologies. Further, this project will study the dependence on funding and budgeting around technology and the gaps that appear with these organizations’ need for adequate funding and […]

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Anomaly Detection Models for the Trusted Execution Environment

In this project, Dr. Fung and her students will work with Trustcore Technology to design and develop anomaly detection functions in the trusted execution environment (TEE) of Internet of Things devices. The goal is to provide a robust solution to detect malfunctions and/or intrusions in IoT systems. The project is divided into two parts. Part […]

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Using AI/ML to Search a Knowledge Base

This research project aims to address the challenge of improving customer experience and satisfaction by providing quick, accurate, and efficient answers to their questions about Avid products and services. Avid’s extensive knowledge base (KB) serves as a valuable resource for customers; however, finding relevant information can be time-consuming and challenging. The proposed AI-powered virtual assistant […]

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Anomaly Detection in Satellite Data Using Quadratic Neural Networks

The goal of this project is to develop a machine learning tool based on quadratic neural networks to perform automated telemetry analysis and detection of known anomalies faster than the current state-of-the-art, and to produce indicators to possible new and unknown anomalies in satellite data.

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Des installations pilotes de démonstration pour les systèmes de polygénération en vue de la décarbonisation des zones urbaines et rurales – des nœuds de coopération pour soutenir la prise de décisions publiques sur la base de preuves scientifiques.

Le projet de recherche proposé vise à développer et à évaluer des installations pilotes qui génèrent de multiples formes d’énergie dans les zones urbaines et rurales. Le projet étudiera comment ces systèmes de polygénération peuvent réduire les émissions de carbone et contribuer aux efforts de décarbonisation. En outre, le projet évaluera le rôle des nœuds […]

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