The large amount of information available today on the web brings many challenges to the information retrieval and artificial Intelligence communities. Moreover, personalization is a key component in today’s successful mobile websites and interactive applications. In order to be effective, these websites are required to provide visitors with the information they need without the complexity […]

The number of Internet of Things (IoT) devices is expected to reach 50 billion devices by 2020 and the devices are increasingly diverse. They are disrupting traditional security measures. Mobile Network Operators (MNOs) have limited control over customers’ IoT devices, as they are deployed on the customer premises. MNOs need to deploy effective security controls […]

Networks have grown from small topologies connecting a dozen of devices to large, shared infrastructures supporting primary needs of our society. Today, we count on networked services for trading, commuting, monitoring weather conditions, meeting people. In order to provide reliable services, network operators need to cope with the daunting challenge of ensuring millions of flows […]

In this project, we apply deep learning methods to analyze and obtain useful information from text data that are collected from social media, and combine these information with numerical data from physical sensors. We then develop new deep learning based solutions that exploit the combined data in order to track the ships in the open […]

Ubisoft’s cloud-based video game ecosystems experience the workload up to 5+ millions players in a typical week. Workloads on game servers are of different scales, ranging from tens of clients per game server to thousands of clients for traditional workloads. To guarantee game player user experience, a pool of servers is launched to react to […]

La compagnie Wastack vise à développer un système permettant d’identifier différents types de déchets néfastes dès leur arrivée aux sites d’enfouissement afin d’éviter que certains matériaux tels que les batteries, les écrans d’ordinateur ou les pneus s’y retrouvent alors qu’ils devraient être traités ailleurs. L’objectif du projet est de fournir une rétroaction continue aux citoyens […]

Les amateurs de jeu vidéo sont bien familiers avec la sensation d’être profondément captivés par un jeu au point de perdre la notion du passage du temps, tout en état capables de hautes performances sans se fatiguer mentalement. Cet état psychologique particulier a été baptisé « flow » par le psychologue hongrois Mihaly Csikszentmilhayi qui […]

Headworn display (HWD) augmented reality devices, such as the Magic Leap and HoloLens provide new opportunities to enhance interactive data visualizations. While immersive HWDs provide a straightforward way to render 3D and immersive visualizations, there are opportunities to improve 2D visualizations as well. This research program considers how 3D spatial metaphors enabled by AR can […]

Scalable systems must seamlessly grow to absorb large data sets and incorporate increasing numbers of processing units within in various communication fabrics. Broadly considered, this concept applies to cores sharing memory, processors sharing a bus, nodes sharing a network in a grid/cluster/cloud, or services sharing compositions of components. Ironically, attempts to add more resources-whether they […]

We investigate new possibilities for industrial data visualization and analysis with the latest Virtual Reality and Augmented Reality (AR/VR) technologies. In this cluster research, we will apply the state-of-art visual analytics methodologies to the forestry, manufacturing and mining industries, and evaluate the potential benefits for the newly introduced technologies. The research outcome may benefit industrial […]

In this project we aim to automatically learn an augmenter network by using an approximate online bilevel optimization procedure. We plan to learn a augmenter network that generates a distribution of transformations that minimizes the loss on a validation set. By unfolding the gradients of the training loss, we will optimize the loss on validation […]

The proposed research involves the development of software capable of fitting a piece of clothing to an avatar based upon customer measurements. The development would include the creation of avatar geometry from photographic information and the computer simulation of fabric based on physics. The project would also include interfacing with clothing merchants through the partner […]