Simulator for Distributed Quantum Computation

Distributed computing is a model in which components of a software system are shared among multiple computers to improve efficiency and performance. The growing interest in cloud computing scenarios that incorporate both distributed computing capabilities and heterogeneous hardware presents a significant opportunity for network operators. The aim of this Research is to develop a purpose-built […]

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Mise en correspondance de graphes de minuties d’empreintes latentes par apprentissage profond

Les empreintes latentes sont des empreintes digitales trouvées sur des scènes de crime. Elles permettent d’aider les experts scientifiques et légaux à identifier ou exclure des candidats et ainsi apporter le poids de la preuve dans les enquêtes. Sur ces empreintes, on trouve des points caractéristiques, appelées minuties, qui correspondent aux bifurcations et fin de […]

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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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Développement de nouveaux algorithmes de recherche et comparaison

3DPartFinder est un moteur de recherche commerciale révolutionnaire qui permet de trouver une pièce mécanique 3D parmi une banque de pièces existantes (déjà conçues et/ou fabriquées), un peu comme Google le fait pour chercher des mots. La grande différence est que l’on demande à 3DPartfinder de trouver une pièce similaire à celle dessinée avec un […]

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A holistic and intelligent cyber risk quantification framework

In our contemporary world, digital systems are playing critical roles in every aspect of life. To maintain our digitalized environments safe, secure, efficient, and cost-effective, cyber risk assessment frameworks have been developed to assess the trustworthiness and effectiveness degree of an IT-based environment. However, these frameworks demand in-depth insights, expertise, and efforts to complete them […]

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Création de projets guidés en Science des données

Création de projets guidés (études de cas) qui montrent les applications de la science des données dans fonction RH (people analytics) L’objectif est d’aider les entreprises à améliorer la compétence de leurs employé.e.s en Data et à bien les outiller dans la mise en place d’une stratégie IA/Data et de transformation numérique.

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Beyond accuracy: robustness and generalization properties of biologically plausible learning rules

The overarching goal of my research is to investigate how the brain learns in order to develop brain-inspired learning algorithms that will reduce the computational cost for many machine learning applications. The standard learning algorithm (or learning rule) for training artificial neural networks (ANNs) can be extremely costly in terms of computation and storage, driving […]

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Développement d’un cadre d’analyse des données collectées par les organismes des arts de la scène pendant la période de COVID-19

La crise de la COVID-19 a stimulé le besoin de transformation numérique des organisations afin d’adapter leurs modèles et pratiques d’af-faires pour survivre à la pandémie. Compte tenu de la nature de la consommation directe de la plupart des offres culturelles, le secteur cultu-rel semble souffrir de la pandémie de COVID-19 plus que les autres […]

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Using knowledge graphs and AI to recognize similarities between politicians

IOTO International Inc’s work is recognized as innovative by some of the largest media organizations in Canada. Their Goverlytics software applies Machine Learning to political data. They intend to extend their software to provide statistical measurements of political discourse similar to performance statistics available in other domains like sports. IOTO is in the process of […]

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A DevOps framework for developing, operating, and evolving SDN infrastructure and applications

Software-defined networking (SDN) leverages software to virtualize networking resources and make them more customizable and versatile. SDN is at the core of many ground-breaking advances and a key enabler for major technologies (e.g., 5G, IoT, Industry 4.0, and Smart Cities) that promise to have far-reaching economic and societal impact. To maximize SDN benefits, DevOps, an […]

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Dreamcatcher Informatics: a Web-based and Mobile Information System to Support Land Management, Consultation, and the Preservation of History, Culture and Traditional Ecological Knowledge

The two goals of this project are to: 1. create a demonstration information system based on an existing system called Dreamcatcher for consultation, land-use, occupancy, and planning based on the archival material of the Mississaugas of the New Credit First Nation (MNCFN); and 2. use this system and First Story to preserve and promote Aboriginal […]

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