Comparative study of the Canadian and Chinese health care system

The healthcare system of China has been shaped by the co-existence of Traditional Chinese Medicine and evidence based medicine as well as the political reforms of the last century. The ultimate aim of this study is to provide the operational strategies, path selection and scientific evidence for reconstruction the medical insurance system to realize the […]

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Intestinal microbiota transplantation: a potential new therapy for colorectal cancer

Although it is known that the human gut is colonized by a wide variety of microbial populations, many effects of the complex interactions between the human host and microbial symbionts are still not completely understood. The dysbiosis or microbial imbalance of the gastrointestinal tract microbiota is considered to be one of the most important contributing […]

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Compromis entre efficacité énergétique et protection aux pannes dans les « Software Defined Networks ».

Les réseaux de communications, notamment l’Internet, connaissent une importante croissance ses dernières années. Cette croissance s’accompagne d’une complexité grandissante ainsi que d’une consommation énergétique de plus en plus élevée. Les technologies actuellement déployées ne sont pas adaptées pour faciliter l’économie d’énergie sur des réseaux de grandes tailles. La technologie SDN nous offre un meilleur contrôle […]

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Design of a gene network implementing an associative memory circuit

The main goal of this research project is to implement an associative memory module in a gene network. The idea is to use the theoretical work already done at the Signals and Systems Laboratory (L2S) and to apply it in the area of genetics. The proposed approach is innovative, as it combines techniques from two […]

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Learning Approaches to Graph Structure Discovery

The project would explore the use of modern techniques from the field of Machine Learning to identify networks from observational data. This is an important area of research in fields such as neuroscience and genetics, where it can shed light on the nature of various disease. Other applications include discovering influencers and communities in social […]

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Support à la conception de robots souples

La complexité de conception de robots souples est due à leur nature pluridisciplinaire (intégration de systèmes mécaniques, électronique et logiciel) ainsi qu’aux contraintes introduites par la non-rigidité des membres, ce qui met donc à rude épreuve la créativité des ingénieurs. Cette complexité est liée principalement aux multiples dépendances existantes entre les différentes composantes du robot […]

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Pando.js: a platform for scientific volunteer computing on the Web

Scientists need more and more computing resources to do research. At the same time, a huge amount of available computing resources is currently completely ignored in all the devices and computers we use to surf the Web. All that computing power could be used to make progress on research about cancer, climate change, epidemiology, etc. […]

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Online Learning of Gait Models for Fall Prediction

Meaningful parameters can be extracted from data that describes a person walking as time progresses. Gait asymmetry is one such parameter that has been shown to be correlated to the likelihood of a person falling. More generally, the variability in gait parameters can be used for human fall prediction. Currently, models used to describe gait […]

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Découpage virtuel de corps viscoélastiques déformables à l’aide de la méthode SPH avec support GPU pour les logiciels de simulation chirurgicale

La découpe virtuelle de corps mous viscoélastiques (tel qu’un organe du corps humain) en temps réel constitue un problème d’envergure dans les logiciels de simulation chirurgicale. Le projet consiste à développer un algorithme de découpe 3D en temps réel offrant un rendu visuel réaliste à l’utilisateur et un retour de force optimal d’un dispositif haptique […]

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Bridging the Gap Between CPUs and GPU with Out-of-Order SIMT

Most of today’s computers, from cell phones to supercomputers, are heterogeneous: they integrate processors that are optimized to quickly execute a few tasks (CPU cores), and processors that can perform many independent tasks in parallel (GPU cores). GPU cores and CPU cores have different instruction sets: they understand different languages. A task written for CPUs […]

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Advancing Big Data: Critical Analysis for Harnessing Heterogeneous Information

This cross-disciplinary project aims to investigate underlying philosophical questions in the acquisition, management and production of scientific big data. Big data analytics (BDA) continues to produce an overwhelming amount of information which can be challenging to make use of due to its size, density and complexity. BDA is ubiquitous in forecasting and decision making but […]

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Robust statistical damage assessment of infrastructures

Structural health monitoring is regarded as the main tool in assessing the functionality of existing structures. The importance of these techniques emerges by considering that failure of an infrastructure results in catastrophic loss. With such techniques, damages in a structure can be detected, before reaching dangerous levels. Those are purely based on measurement data and […]

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