Massive, complex, interlinked information is collected by scientific research in different spheres of natural and social sciences. Graphs are commonly selected as a model of such information: graphs can successfully represent imprecise, uncertain, noisy data; graphs are well suited for the data structure analysis; graph theory has a well-developed mathematical apparatus forming a solid and […]

Automobiles have become one of the necessities of modern life, but also introduced numerous traffic accidents that threaten drivers and other road users. Most state-of-the-art safety systems are passively triggered, reacting to dangerous road conditions or driving behaviors only after they happen and are observed, which greatly limits the last chances for collision avoidances. Timely […]

Each day several email messages containing respiratory care topics, issues, and latest treatments are exchanged within the Respiratory Therapy community. Effective exploration and visualization of informal knowledge in these email threads and combining them with the scientific articles published in the Canadian Journal of Respiratory Therapy (CJRT) has the potential to inform future respiratory care […]

Identifying and removing duplicated records by leveraging state-of-the-art AI and machine learning techniques (deep neural networks) from co-op banks’ customer databases, such as the one within the partner organization, Desjardins, will help the banks pay out the appropriate share of dividends to their customers.

Network operators ubiquitously deploy hardware middleboxes such as firewalls, proxies, WAN optimizer, intrusion detection and prevention systems to realize different network services. These middleboxes are vertically-integrated, expensive, and proprietary hardware appliances with limited or no programmability and require specially trained personnel for deployment and maintenance, resulting in increased capital and operational expenditure for the network […]

L’exploitation des réseaux de capteurs corporels WBAN (Wireless Body Area Network) est une solution prometteuse qui favorise l’ubiquité de surveillance médicale et améliore la qualité du soin. Ils permettent par la mobilité, et la portabilité,de révolutionnee le concept de la surveillance et de la gestion des diagnostiques à distance permettant ainsi une continuité du suivi […]

Monitoring is fundamental to network management. Accurate and timely statistics at different granularities (e.g., per-user, per-device etc.) are essential for many network management applications (e.g., traffic engineering, failure detection etc.). Contemporary monitoring solutions (e.g., Cisco Netflow) are proprietary, inflexible, and incur a large up-front licensing and setup cost. Alternatively, dedicated hardware devices for monitoring can […]

With the growing application of learning-based technology in image recognition, speech translation, and other back-end systems like ad advertising, artificial intelligence (AI) has finally moved from research labs to real business. As AI moves closer to reality, it is expected to help us more in more personalized and even critical contexts, like smart home, autonomous […]

Impending increase in senior population in developed countries is expected to overwhelm the health care system carry a significant social and economic cost. Number of solutions, that leverage ambient intelligence, have been proposed to help aging in place. HomeEXCEPT is working on a non-intrusive solution using a temperature sensor. The research will help in identification […]

On retrouve de plus en plus de robots qui collaborent avec les travailleurs pour augmenter la productivité des entreprises. Dans le contexte industriel, ces robots sont souvent utilisés pour saisir des objets et effectuer des tâches avec ceux-ci. En général, les robots sont équipés de caméras leur permettant de voir et saisir les objets présents […]

The goal of this project is to explore the use of log analytics and machine/deep learning techniques to improve Ubisoft operational intelligence. Logs contain a wealth of information, but often hindered by the lack of best practices, tools, and processes. Despite the importance of logging, the area has not evolved much over the years. At […]

In our data-saturated world, people could greatly benefit from understanding data in their daily lives through visualization. Currently, many visualizations are situated out of context from the physical world, leading to a loss of data-richness gained from in-context analysis. Using tabletop robotic devices and projectors, Dr. Jansen’s research team are developing infrastructure to generate and […]