Inferring underlying properties of a dataset is a fundamental task in the fields of learning, statistics, and data analysis. In recent years, the amount of data which we have access to and would like to analyze continues to grow at an astronomical rate. Algorithms that were previously considered efficient for learning properties of the data […]

Character motion in games and animations often have high requirements of realism, aesthetics, and interactivity. For instance, in soccer simulation games, users control the players to move in different directions and perform actions such as passing and shooting. Modern data-driven approaches like motion fields provide convenient ways to synthesizing natural motions from a given database […]

Reinforcement learning (RL) provides a unified framework for sequential decision-making problem, where a computer agent interacts with an environment while trying to learn optimal decisions to maximize its long-term reward. This makes RL a suitable choice for many real-world applications, including finance. RL applications in finance have created a lot of in-depth innovation such as […]

Social networks like maps with real-time traffic are good examples of streaming graphs. These streaming graphs are processed and analyzed to answer the queries in real time. Conventional iterative graph processing algorithms estimate the results by approximating the intermediate values. Upon receiving a query, the computation is performed on these intermediate values. This setting gives […]

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 […]