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 […]

The proposed project seeks to better understand and study the effective application of data processing tools and quality assurance systems in clinical research. Data from clinical trials is crucial in the pharmaceutical industry because it provides indicators of safety and efficacy of drug treatments for patients. However, processing and reporting on the large amounts of […]

The goal of the project is to develop a predictive model that will help to make a better estimate of the relative altitude using only the barometer sensor inside the Notio device. This measurement of a precise relative altitude is crucial since it is used to compute the slope, which is an important data for […]

Attacks on connected vehicles require special attention and there is a need for new sophisticated security solutions that will cover the integration of different domains in connected vehicles and help proactively address potential threats to connected vehicles. The overall goal of this project is to provide various security solutions for integrity, access control, availability, and […]

Le projet consiste à développer des algorithmes permettant de créer des secteurs pour les clients de Fastercom. Afin d’y parvenir, différentes méthodes de Machine Learning seront évaluées et implémentées. Cette création de secteurs permettra d’améliorer la performance des algorithmes de la compagnie en découpant le gros problème d’optimisation de tournées de véhicules en petits problèmes […]

Among the applications of computer science in the field of health care and biomedicine, the processing of clinical patient records is one of the increasingly important topics for improving the Electronic Health Records (EHR) systems. A practical use of EHR systems is to help improve the decision making process for the physicians. The goal of […]

Machine learning (ML) has recently achieved impressive success in many applications. As ML starts to penetrate into safety-critical domains, security/robustness concerns on ML systems have received lots of attention lately. Very surprisingly, recent work has shown that current ML models are vulnerable to adversarial attacks, e.g. by perturbing the input slightly ML models can be […]