The objective of this project is to elaborate an automated and scalable approach to assist security analyst in investigating and identifying underlying key cause (or causes) behind security or compliance failures of network services in NFV-based environment. Finding the root cause allows appropriate and achievable actions to be taken to recover or/and prevent the recurrence […]

In a cognitive wireless mesh network, licensed users (PUs) may borrow surplus spectrum from other PUs and rent them to unlicensed users (SUs) for getting some revenue. For such spectrum sharing paradigm, maximizing the revenue is the key objective of the PUs, while that of the SUs is to meet their requirements and getting a […]

The intern has developed a 3D microscopic model to simulate water bead behavior on hydrophobic and superhydrophobic coatings. The microscopic model developed at Concordia University which simulates one bead cannot be directly integrated into an aircraft icing panel code such as CANICE-2D. CANICE-2D approved by Transport Canada has been widely used at Bombardier Aerospace to […]

Buildings have a high share of energy consumption in Canada. Real-time monitoring and analysis of energy use data can assist in improving the performance of the building and help reduce operating costs, lower utility bills, increase equipment life, improve occupants’ comfort, and increase retention and leasing rates; all while lowering carbon emissions. Joule M&V AI […]

Gold is the most economically important mined mineral in Canada, with a production value of $8.7 billion in 2017. Quebec and Ontario together accounted for more than 75% of the mined gold production in Canada in 2017. Economic, efficient, yet safe and environmentally responsible gold extraction is vital to Canada’s dynamic economy and environment, as […]

The research proposed in this document will build upon and extend the previously funded CRIAQ (AUT-1701) and MITACS (IT12130) projects on the development of a UAV platform for search and rescue activities in the ski facilities of Domain Saint Bernard in Mont Tremblant in collaboration with SII Canada. The goal of this research is to […]

The project aims to extend worksite safety of construction projects at Hydro-Quebec (HQ) using computer vision and a Real-Time Location System (RTLS). The case study is a substation construction project near Montreal. The main safety risks that will be targeted in the case study are related to equipment mobility (struck-by accidents) and not wearing Personal […]

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 […]

The internship for each student will be under the supervision of Gilles Bourque PhD, the Combustion Research and Technology Team Leader. Mr Bourque has been working for the past 12 years at RR Canada of which 10 in the Combustion department. The student will be an integral part of his team and as such will […]

Querying databases without a layer of privacy protection might lead to serious privacy issues. Such issues include access patterns and communication volume patterns. By combining the state-of-the-art privacy standard (differential privacy) and encryption in provides resilience to a host of attacks on remote databases, including data reconstruction attacks. However, there is still research work needed […]

As the 5G Network will be capable of being reconfigured and optimized on-the-fly, they will also be more automated, requiring less manual effort to provision resources and make the most efficient use of bandwidth. The Ciena Analytics as a Service is a suite of tools to assist network operator in pro-active discovery on their network […]

It is expected that a complete deployment of Connected and Automated Vehicles (CAVs) onto a transportation network will take a long transition period and, therefore, reliable and accurate modeling of mixed traffic networks that include both conventional vehicles (ConVs) and CAVs is of paramount importance for the success of CAVs concept implementation. This project will […]