The Ubiquitous Health Technology Lab (UbiLab) will explore the development of a data integration framework and recommendation for associated standards that aims at combining data from (1) smart home systems, (2) AAL or IoT for health technology, (3) mHealth, and (4) wearables. Important areas of data management will be explored, as for example security and […]

En 2018, les entreprises doivent se protéger contre un risque opérationnel critique : le cyberrisque. L’objectif de ce projet de recherche est de développer une cote de cybersécurité, qui donne une mesure du niveau de cyberrisque global d’une entreprise en fonction de ses caractéristiques et de son programme de gestion des systèmes informatiques. La cote […]

In this project, we aim to design and develop an Intelligent mixed-reality Simulation & training ecosystem for Extreme Environments (I.SEE), which will be an innovative mixed-reality simulation ecosystem of hyper-realistic and fully immersive experience for enhanced crisis response, management, training, and data analysis. The ecosystem will be built based on a three-layer architecture: (i) On […]

The proposed research project aims to develop a multi-modal stethoscope, containing superior digitized heart and lung sounds, telemedicine capabilities and assistive diagnostics. This is achieved by leveraging new advancements in piezo, microphone, wireless and machine learning technologies. The project will investigate these technologies and integrate them into custom made electronics and mechanical designs to achieve […]

Bipolar membranes (BPMs) are already a commercially relevant technology as they are used in the electrodialysis process, that is, they are used to convert salt water into industrially useful acid and base products. Recent research, on the laboratory scale, has demonstrated that bipolar membranes also have useful applications in water splitting technologies that produce hydrogen […]

The main objective of this project is to investigate, develop and evaluate state-of-the-art color image/video analysis and machine-learning algorithms, which are suitable for accurate modeling and recognition from large-scale image datasets that are weakly labeled. In particular, we will focus on investigating and developing interactive (partially-supervised) algorithms for annotating massive sets of color images, while […]

In Canada, lung cancer is the leading cause of cancer-related deaths for both sexes. Non-small-cell lung cancer (NSCLC) constitutes ~85% of lung cancer cases. Mutations in the KRAS and EGFR genes are two most common oncogenic drivers for NSCLC and responsible for ~30% and ~15% of NSCLCs, respectively. Unlike the EGFR-mutant type, KRAS-mutant NSCLC is […]

Data centers (DCs) in network softwarization and 5G eras are significantly different from those operated nowadays by public cloud providers. They are massively distributed, closer to end-users, heterogeneous (e.g., multi-access edge, central office as a data center, etc.) and rely on much more complex technologies (e.g., Network Functions Virtualization [NFV] and Software-Defined Networking [SDN]). This […]

Data centers (DCs) in network softwarization and 5G eras are significantly different from those operated nowadays by public cloud providers. They are massively distributed, closer to end-users, heterogeneous (e.g., multi-access edge, central office as a data center, etc.) and rely on much more complex technologies (e.g., Network Functions Virtualization [NFV] and Software-Defined Networking [SDN]). This […]

L’objectif de cette étude est d’évaluer l’impact du fonctionnement d’un prototype du système d’automatisation MOBILE dans un environnement représentatif à l’aide d’un modèle de simulation à évènements discrets. Ce système a pour objectif de permettre : i) une automatisation des chargements et des déchargements des laveurs; ii) une sélection automatique des laveurs et de leurs […]

The objective is to develop the best practices for the determination of manoeuvring coefficients by solving RANS equations. The commercial CFD package, Star-CCM+, will be employed. Results will be used to develop mathematical manoeuvring models. Studies will be carried out for three ships with and without appendages. Various scales will be used to investigate the […]

Technologies EllenSee Inc. se veut devenir un acteur majeur dans le domaine de Ia securite des aines. Pour ce faire, un bracelet permettant de detecter les chutes. de reconnaitre des activites physiques journalieres et de surveiller les donnees medicales du porteur doit etre COn9U. Un tel outil permettra de reduire le temps de reaction du […]