Generation of correlation hypotheses between Adverse Events (AEs) and NamedEntity Recognition (NER) of drugs in social media and scientific journals usinga machine learning approach

Pharmacovigilance (PV) has evolved and grown more complex over the past 5 to 10 years due to increasing data volumes, evolving regulations, influence of emerging markets and the emerging social media and innovative technological advances. Fast detection of Adverse Drug Reactions (ADRs) could allow the pharmaceutical industry to anticipate and then to control more efficiently […]

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Atmospheric water generation with nanostructured material

Atmospheric water harvesting allows arid regions with low rainfall or unsustainable/expensive groundwater resources to collect fresh water from the air to meet their needs. Typical water harvesting methods rely on a simple principle: humid air is forced through a mesh net, where water condenses and droplets drain away through gravity. However, these traditional approaches face […]

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A scalable FMI-compatible cosimulation platform for distribution grid cybersecurity studies using data analytics

The objective of this project is to develop and customize a cosimulation platform capable of integrating multi-formalism simulators for SG cybersecurity analysis. This enables one to provide a cosimulation platform which is characterized by scalability (no limitation in terms of nodes/buses of communication/power systems), compatibility with the Functional Mock-up Interface (FMI) standard and capability of […]

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Impact de l’utilisation d’un modèle périodique autorégressif et à moyenne mobile dans la gestion moyen-terme de la production hydroélectrique

Pour planifier à moyen-terme un système hydroélectrique, il est nécessaire de déterminer une politique de gestion de ses réservoirs, c’est-à-dire la quantité d’eau à utiliser à chaque semaine pour répondre à une demande électrique ou d’autres contraintes. Cette politique de gestion couvre un horizon allant jusqu’à 2 ans et doivent tenir compte de la principale […]

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Failure-Tolerand Connectivity Maintenance for Robot Swarms

In many real-world applications, robots need communication between each other to coordinate. For the information to propagate, robots need to be connected, i.e. there has to be a communication path between all the robots in a team. We have designed a decentralized connectivity-preserving algorithm and validated using the ARGoS multi-robot simulator. The connectivity-preserving algorithm has […]

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Novel Twisting String Actuation for Robotic Grippers

A twisting string actuation (TSA) transmission uses wire(s) to transmit power from a motor on one side to a load on the other side. When the motor rotates the wires are twisting themselves, and thus provide a pulling force on the load. The aim of the project is to add to an existing TSA unit […]

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Prediction of Particle Dynamics for Additive Manufacturing

Additive manufacturing is an emerging technology that can revolutionize specific manufacturing sectors, but several technical issues related to flowability of metal powders remain to be resolved before its full potential can be achieved. The project aims at better characterizing and predicting the flow behavior of powders used for additive manufacturing, and improving powder flow simulation. […]

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Teneurs en métaux dans les liquides de cigarettes électroniques et détermination de leur potentiel oxydatif

Les laboratoires Vaporus, une compagnie québécoise reconnue dans le marché des e-liquides et détentrice d’une certification ISO 9001 :2015, possède un strict contrôle de qualité sur les e-liquides qu’elle fabrique et commercialise. Cependant, la compagnie n’a aucun contrôle sur la fabrication des cigarettes électroniques qui se trouvent sur le marché et voudrait savoir si les […]

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Toward Building a Technical Engineering Smart Search

Documentation is an integral part of any product development. Product and documentation should co-evolve; whenever the product is changed the documentation should be updated and vice versa. Yet, oftentimes, multiple documentation and product versions may exist; between and within the documentation of the product, relations and dependencies may or may not be explicit, documented, trustworthy […]

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Metamorphic Testing of Deep Neural Networks

Nowadays, we are witnessing a wide adoption of Machine learning (ML) models in many software systems. They are even being tested in safety-critical systems, thanks to recent breakthroughs in deep learning and reinforcement learning. Bombardier, a world leader company in the domain of aerospace have started integrating deep learning models in its products, systems and […]

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Need Definition and Need Mapping Methods for Innovation Projects

User needs analysis is a major concern in innovation projects and needs analysis methods differ in level of details, information overview, structure, interrelations, transparency, and ease of use. Depending on the project, the involved stakeholders, the required level of details, and time constraints, it is not clear which method should be used and why. The […]

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Data fusion strategies for reducing the uncertainty of point cloud data

For decades, contact probes on coordinate measuring machine (CMM) have been widely used for data acquisition in coordinate metrology, mainly because of their high accuracy. However, the acquired data is a low-density set of points, because sampling using a contact probe is a slow process. Nowadays, optical 3D scanning technologies such as structured-light scanners or […]

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