Élaboration d’une stratégie de développement de l’application dorsale (‘back end’) d’une plateforme web et de son premier module de maillage intelligent

Le projet cible principalement l’élaboration d’une stratégie de développement de l’application dorsale (‘back end’) d’une plateforme web et de son premier module de maillage intelligent. L’objectif central de cette cible est la planification du développement des fonctionnalités de l’application, de la conception architecturale du modèle et des données de l’application dorsale à la mise en […]

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Vers une formation intégrée 4.0

En s’appuyant sur les expertises de Famic Technologies et de ses logiciels de gestion de l’industrie 4.0, ce projet vise à développer des modules de formations immersives à l’industrie 4.0 sous forme de cas de simulation réel.

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Mesure de l’impact d’un AIE (Accélérateur et incubateur d’entreprise)

Les accélérateurs et incubateurs d’entreprises (AIE) jouent un rôle important dans l’émergence d’entreprises technologiques à fort potentiel. Cependant, leur contribution est souvent difficile à appréhender en raison de la complexité du processus entrepreneurial et de l’hétérogénéité des AIE. Ce projet vise à développer des outils pour permettre à l’incubateur Zú de mesurer son impact sur […]

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Recycling process for Abandoned, lost or otherwise discarded fishing gear (ALDFG) and polymer (PA6, HDPE, and PLA) characterization for injection molding

Ocean plastics are a growing problem that affects our oceans health and livelihood. A large portion of this ocean plastic is abandoned, lost or discarded fishing gear (ALDFG). The project aims to develop new ways to recycle this source of ocean waste and determine product applications for the recycled waste. By evaluating different types of […]

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Combined cyberattack detection and mitigation studies on load frequency control

The extended application of communication networks in modern power systems has made power systems vulnerable to cyberattacks. These attacks target the operation of the power system and may bring about major problems, such as blackouts and tampering with smart meter readings. In this project, a comprehensive control scheme will be proposed to detect and mitigate […]

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Safety and Integration of Novel Collaborative Robots

Industrial robots are known for their speed and power. Collaborative robots, by their definition, require more delicate movement to work alongside human workers. We propose work that will support future product launches by combining advanced trajectory generation for smooth operation and increasing component life by minimizing acceleration and jerk, while also reducing operation cycle times. […]

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Digital Twin of a Rotating Machine: Model Order Reduction and Artificial Intelligence for Hydroelectricity Production

Hydroelectric power units are more solicited today than in the past when they were usually operated at baseload. Because of this, their operating conditions include many starts and stops, and partial load conditions, resulting in premature and unpredictable failures. With a digital twin, these units can be properly monitored and accurately modeled in order to […]

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Design and implementation of an automatic security response mechanism for cloud services based on trust attributes.

Cloud computing offers virtually unlimited resources in CPU, memory, and bandwidth, under a service agreement scheme. Operators leverage on this model to achieve economies of scale, by hosting as much customers as possible on such infrastructure. The detected gap is that the Communication Service Providers (CSP) must take into consideration trust as a parameter into […]

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Carbon coating to improve Titanium and Aluminum powder properties for LPBF application

Aluminum and titanium components fabricated via laser powder bed fusion (LPBF) process have gained industry interest, especially for automotive and aerospace applications, due to their enhanced lightweight and mechanical properties. For a higher part quality and surface resolution, the use of fine powders is desired for the LPBF process. However, the poor flowability of fine […]

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AI based technology adoption in circular economics

This project is a cross-disciplinary study of econometrics and machine learning (ML) models applied to the decision making modelling in industry. The problematic arises from the lack of tools supporting the transition to circular economics model and the need to identify the key factors to influence this transition. The project aims to explore the key […]

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