“Virtually” connected: Can virtual reality technology foster closeness and intimacy in romantic relationships?

Social connections, especially satisfying romantic relationships, are vital for health and well-being. Yet, couples are spending increasingly more time apart, limiting opportunities for connection and intimacy. However, engaging in shared novel activities (i.e. self-expanding activities) can help couples connect and maintain their relationship over time. Indeed, couples who experience more self-expanding opportunities in relationships feel […]

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“Virtually” connected: Can virtual reality technology foster closeness and intimacy in romantic relationships? – Year two

Social connections, especially satisfying romantic relationships, are vital for health and well-being. Yet, couples are spending increasingly more time apart, limiting opportunities for connection and intimacy. However, engaging in shared novel activities (i.e. self-expanding activities) can help couples connect and maintain their relationship over time. Indeed, couples who experience more self-expanding opportunities in relationships feel […]

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Development of machine learning and artificial intelligence toolbox to monitor data center risks and performance

Missing Link Technologies Ltd. provides customized and effective solutions to its partners for their IT infrastructure & operations. They are especially involved with solving the IT facilities management challenges of Telcos and Datacenters. The proposed research in collaboration with Missing Link Technologies Ltd. is aimed at leveraging the advances in machine learning and artificial intelligence […]

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Research and implementation of Haptics Device Integration with a Dynamics Simulation Engine and Applications to Milling and Drilling Force Feedback

Virtual environments represented by multibody system models play an important role in many applications. Adding the possibility of users directly interacting with such environments via physical touch using haptics can significantly enhance the usability and range of application of simulated environments. In this project we particularly target two main objectives: (1) the multirate-simulation and hatics […]

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Large-scale optimization algorithms for optical and fiber networks

Networks are moving towards being adaptive. This means that automation will be used to replace processes which are today highly manual. This project proposes a development of knowledge in the area of algorithms required to enable adaptive networks. The project will train two PhD students to understand optical networks and devise optimization algorithms in the […]

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Classification automatique de la tonalité de courriels par apprentissage automatique

Le stagiaire développera un algorithme d’apprentissage automatique permettant la classification automatique du sentiment dans des courriels. L’algorithme sera entraîné sur des exemples de courriels issus de l’organisation partenaire (i.e. l’entreprise Coveo) et sera utilisé par les clients de cette dernière pour classifier le plus adéquatement possible leurs propres courriels. L’algorithme résoudra donc un problème d’apprentissage […]

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Antenne Satellites Double-Grille a Polarisation Circulaire

Certaines antennes appelees antennes a reflecteur double-grille sont actuellement utilisees sur des satellites. Ces refiecteurs sont constitues de deux grilles paraboligues placees I’une derriere I’autre. Ces grilles sont orthogonales, c’est-a-dire que la premiere r6flechit les andes polarisees verticalement et est transparente pour les ondes polarisees horizontalement, alors que la deuxieme fait I’inverse. De cette maniere, […]

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Mining Web Access Logs Using Graphs for Understanding User Behavior

Recreational cannabis was legalized on Oct 17th, 2018. Internationally, some countries have already legalized or are going to legalize the recreational/medical cannabis products. Unfortunately, there are not much data available for stakeholders to make decisions in a data-driven way. However, the government, industry and community are hungry to obtain statistical data to understand the impact […]

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Self-Adaptive Pattern Recognition with Deep Neural Networks

The purpose of this project is to investigate self-adaptive forecasting and anomaly prediction algorithms based on deep neural networks (DNNs). DNNs present a compelling technology due to their wide-spread availability through open-source projects (e.g. TensorFlow, MXNet). However, usability of DNNs in scenarios outside of image, speech or text pattern recognition is mostly unproven. This project […]

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WP 2.1.2: Advanced, Intelligent, Analytics Driven Apps for Software Defined and Functionally Virtualized Networks

Networks are moving towards being adaptive. This means that automation will be used to replace processes which are today highly manual. This project proposes a development of knowledge in the area of algorithms required to enable adaptive networks. The project will train two PhD students to understand optical networks and devise optimization algorithms in the […]

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Software radios for highly integrated system architecture

The project aims to establish new design methods and digital signal processing techniques allowing robust and efficient universal navigation and communication equipment in the fields of aeronautics and aerospace. New avionic standards are under study and strong arguments exist for the adoption of software defined radios at this point of time. The project anticipates the […]

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