Teams of specialized workers develop most software. For example, one team may specialize in the requirements that describe what the software is to do. Another team may specialize in producing the software itself. Yet another team may specialize in determining whether the software meets the desired requirements. Supporting communication between all these teams is challenging: […]

During the internship in collaboration with RootCellar Technologies, research will be conducted towards the design of an adaptive machine-learning solution and its integration with the existing RootCellar framework for automated evaluation and management of information security risk in small and medium size enterprise networks. The existing framework is very advanced in terms of end-point risk […]

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 […]

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 […]

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. […]

The proposed research aims to target large-scale consumer-generated data to analyze, visualize, and make predictions out of. The data will be collected from the consumers to make assessments on their lifestyles, and will come in forms such as heart-rate variance, that is, being temporal data. Researchers with visual analytics background will apply new visualization techniques […]

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 […]

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 […]

WebAssembly (WASM) is a new portable size and load-time efficient binary code format designed to serve as a compilation target for the web. WASM enables browsers to compile code bundles and run faster than existing Javascript. It will include both a binary notation, that compilers will produce, and a corresponding text notation, suitable for displaying […]

Web based anti-debug is a critical technology prevent dynamic attacks to web applications within browser environments. Irdeto has developed a set of essential anti-debug techniques that are used for projects of POC and products for protecting web applications. The research is to understand anti-debug techniques from the public domain, is developed in house, and will […]

The rise in adoption of online services for sensitive tasks such as banking and accessing public services, has led to increased security and data privacy requirements. Many institutions use third-party services for logging in and handling security. So you might enter a single username and password, connecting only once to access a number of different […]

Meta’s Bibliometric Intelligence is a service platform to provide automated and in-depth manuscript assessment to authors and publishers in biological science. This internship project is to develop a new version of Bibliometric Intelligence. The intern will apply state-of-art machine learning and natural language processing skills to improve its performance. Accurate assessment and profiling of manuscript […]