IoT devices gather a huge amount of information and, consequently, bring many privacy threats. For example, the huge amount of information collected with IoT devices could be used in individual and behavioral patterns profiling. Thus, new safeguards for privacy and data integrity must be specified. This project aims to resolve data privacy issues using a […]

DriveABLE Inc uses a set of simple video tasks to identify the impaired drivers. Video tasks come in the form of simple games and measure cognitive ability. The test results are analysed by AI powered algorithm that predicts the impairment level of the driver. Our project’s main objective is to redesign the AI in such […]

The proposed research project is aimed at the development of text-to-speech systems that leverage the power of deep neural networks. Our goal is to leverage powerful generated models for speech and combine them with mechanisms to incorporate text information. We hope to explore several such techniques and propose novel methods to achieve this goal. The […]

The focus of the project is to develop an packet-optical network resource optimization model that minimizes the total network cost across IP-optical platform while meeting the following requirements: (i) Offers full protection from any network node and link level failure. (ii) Ability to handle large scale networks and traffic demand (i.e., network scalability). (iii) Meets […]

Deep neural networks have demonstrated state-of-the-art modeling accuracy on a wide range of real-life problems, with some cases surpassing human performance. Despite the promise of deep neural networks as an enabling technology for a large number of industries and fields, there are two particular key challenges in the design of deep neural networks in real-world, […]

The objective of this project is to design and develop interaction techniques for Webspaces in Virtual/Augmented Reality. We will study and understand current techniques to interact with the websites via screens, how users access the information and media presented on the websites and the ways in which this presentation of information can be improved to […]

According to the World Petroleum Council (WPC), the average age of employees in Oil and Gas companies is 50 years, and it is estimated that in the next 5 years 40-60% of them will retire. One consequence of this age-related crisis is losing the accumulated knowledge by retiring “gray-beards”. In this scenario, new software technologies […]

Bell’s Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage a traffic classification project specifically for network security purposes. This research to design distributed algorithms fast […]

Tracking humans in video can have a variety of applications including monitoring shoppers in stores, identifying suspicious activities in public spaces, and ensuring the security of senior home residents. Recent advances in video processing and hardware capability on computers have made it possible to track a single human in a video sequence in real time. […]

In this project, we aim to design and develop an Intelligent mixed-reality Simulation & training ecosystem for Extreme Environments (I.SEE), which will be an innovative mixed-reality simulation ecosystem of hyper-realistic and fully immersive experience for enhanced crisis response, management, training, and data analysis. The ecosystem will be built based on a three-layer architecture: (i) On […]

Technologies EllenSee Inc. se veut devenir un acteur majeur dans le domaine de Ia securite des aines. Pour ce faire, un bracelet permettant de detecter les chutes. de reconnaitre des activites physiques journalieres et de surveiller les donnees medicales du porteur doit etre COn9U. Un tel outil permettra de reduire le temps de reaction du […]

The multiple audio sequences matching problem can be regarded as a pattern identification problem with inputs of multiple highly fragmented audio sequences. Singular Software develops a product which employs a model-based alignment algorithm to match audio sequences on a common time line to solve this problem. This product relies on computationally intensive mathematical operations such […]