Introducing a framework for a green smart coffee waste management system through Industry 4.0 technologies

Coffee brewing process generates large amounts of spent coffee grounds (SCG). SCGs are often disposed as general garbage and transported to landfills, where they produce methane, a greenhouse gas 25 times more powerful than carbon dioxide, contributing to global warming. Hence, an efficient waste management system is important for managing such waste. An efficient waste […]

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Développement d’une stratégie de gestion des actifs Cintech

En raison d’une croissance qui n’est pas constaté qu’en terme de RH mais bien d’actifs divers l’organisation doit se réorganiser et surtout bien se préparer pour valoriser cette période de grands changements. Si à une petite échelle la gestion des investissements en actifs est facile, il en est tout autre lorsqu’on parle d’investissement 5-10 fois […]

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Development of a highly productive stable cell line to streamline recombinant adeno-associated virus (AAV) production

Having an efficient and scalable manufacturing production process of Adeno-Associated Virus (AAV) vectors remains one of the most challenging problems in the industry for meeting the high demand of AAV for clinical application in gene therapy. The current production process of AAV relies on the co-transfection of three plasmids containing the main virus structural and […]

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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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