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 […]

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 […]

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, […]

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 […]

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 […]

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 […]

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 […]

Comme de nombreux outils numériques utilisant des techniques d’analyse de données et d’apprentissage automatique (machine learning), les agents conversationnels (chatbots) collectent et traitent une grande quantité de données sur leurs utilisateurs. Quand le type de conversation suscitée par le chatbot porte sur des enjeux de santé mentale, ces données sont d’autant plus personnelles et confidentielles. […]

This project is aimed to develop a next-generation network providing unprecedented quality of cellular service to Canadians and small and medium businesses, stimulating innovations and improving the quality of life of our people. Relying on the ENCQOR infrastructure, which is the first 5G network in Canada supported by three governments (Quebec, Ontario, and Canada), the […]

Ce projet de recherche ancré dans la tendance des « villes intelligentes » vise à contribuer au développement d’un Abribus Intelligent (AbI) en misant sur les technologies de l’Internet des Objets (IdO). Il s’agit de transformer un abribus en un environnement connecté qui permette de détecter automatiquement et en temps réel les usagers à proximité […]

Speech separation – isolating different speech sources from a given mixed input signal – is a fundamental task in speech processing. It is a fundamental step in many applications, such as automatic speech and speaker recognition. However, speech separation is also among the most challenging tasks in speech processing. Recent studies involving deep models to […]

Canadian urban populations are increasingly aware of climate change and generally support mitigation strategies. But understanding how urban form impacts energy use and emissions is challenging. We propose to design, deploy and evaluate digital media tools that support collaborative exploration of urban design scenarios where some participants are joining from remote locations. Key elements of […]