Adaptive User Interfaces for Product Recommender Systems

We are in the process of creating and growing a team of researchers, expert in the field of machine learning and data-mining. Ultimately, our aim is to create solutions to eliminate the need to manually define personalization strategies. We are in the process of signing partnership agreements with retailers capable of collecting large-scale datasets of […]

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Scaling Geocontextualization

Urban design and development is an iterative process that involves community engagement and multiple feedback cycles. Advances in internet technologies and web mapping technologies has made it possible to display design plans on websites and to collect feedback on specific locations or aspects of the provided design. Using web mapping applications to feedback from the […]

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Computer Vision and Deep Learning for Moderating Visual Content

Two Hat Security is a company that develops next generation moderation tools for social networking apps. Since visual content (e.g. images, videos) is one of the most important types of data shared by social networking apps, an important problem for the company is to identify images/videos that are offensive or inappropriate. For example, certain images/videos […]

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Mobile Health Application Design and Implementation

This research project involves the design and implementation of an anxiety management application for transmission on the iPhone. The application employs cognitive behavioral therapy (CBT) methodology and is designed for the 16 to 25 year old demographic. Normally used in face to face therapeutic interactions, the use of a mobile application is unique in that […]

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Research on High-Performance Tree Differencing Algorithms

Metafor is developing a new class of IT system management solutions and as a part of this, wants a method to show differences between multiple deployed instances of an application. To implement this, Metafor requires an accurate, high-performance generalized tree differencing algorithm. Differencing algorithms are used for comparing different versions of a document or snapshots […]

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Ciena OPn – WP 2.1.2 Advanced, Intelligent, Analytics Driven Apps for Software Defined and Functionally Virtualized Networks

Ciena, the network specialist, is collaborating with Universities and SMEs in Ontario and Québec in order to develop an ecosystem that accelerates advanced research and development activities in the fields of highcapacity optical transmission systems, software defined networks, business intelligence and process automation. A steady-state of over 50 Masters, PhD and Post-Doc students per year, […]

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Outils pour l’aide à la recherche d’information et de veille au CRIQ

Le Centre de recherche industrielle du Québec (CRIQ) offre des services de recherche d’information et de veille en impartition. Actuellement plusieurs outils de recherches sont utilisés pour accomplir ces mandats de recherche d’informations, mais la formulation des requêtes, la sélection des documents pertinents et l’extraction des informations utiles sont effectuées manuellement. Le stage proposé dans […]

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Refocusing and All-In-Focus Images for Angle-Sensitive Pixel Camera

Currently, the camera in your smartphone can take 2D color pictures. We have developed a new type of camera that can also provide you with depth at each point, not just color. Having depth and where objects are relative to each other in the scene open the door to many different new possibilities, for example […]

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Bibliothèque d’intelligence artificielle pour la simulation de la dynamique des opérations dans un centre d’électrolyse

La simulation dynamique est d’une aide précieuse pour étudier des stratégies d’amélioration. Elle permet de visualiser le comportement d’un système dans un cadre virtuel, identifier les goulots et expérimenter avec une large gamme de scénarios [1]. Le projet vise à concevoir et mettre en oeuvre une bibliothèque logicielle pour modéliser l’opération des équipements d’un centre […]

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Travaux préliminaires à l’implantation du Learning Analytics Lab pour optimiser et monitorer l’engagement et l’apprentissage dans des environnements numériques

Si les TIC ont permis à la formation de devenir plus accessible et favoriseraient l’engagement et la motivation, les faibles taux de réussite en formation à distance (FAD) posent problème. Les environnements numériques (EN) utilisés dans les formations en ligne enregistrent systématiquement les traces informatiques des activités des apprenants, qui peuvent être combinés avec des […]

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