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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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 […]

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.

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 […]

Over the past two years, the COVID-19 (SARS-CoV-2) pandemic has been the main global public concern affecting human health. A tremendous amount of personal protective equipment has been produced and used by the health service and every human. Hence, proper medical waste management becomes a critical problem which must be solved with a minimal environmental […]

This project aims at developing a coupled enzyme assay strategy that will allow us to engineer and screen engineered PETase enzymes that are useful in degrading otherwise non-biodegradable plastics. The proposed method will be faster and robust compared to existing assay methods. PolyTide Inc. aims to apply this technique towards engineering PETase enzymes it is […]

This grant application, aims to develop an efficient and accurate project management analysis platform based on active and few-shot learning techniques. The main objective of our platform is to provide advanced insights and predictions related to project activities, teams, and budgets, using recent advancements in natural language processing (NLP), active and few-shot learning technologies. By […]