The purpose of this project is to investigate long-term forecasting of optical quality of transmission (QoT) based on deep neural networks (DNNs). QoT refers to the properties of the optical channel such as signal-to-noise ratio (SNR), which define the level of service provided by the optical channel. DNNs are a compelling technology, but their usability […]

What’s most difficult at this time is how to find the signal in all of that noise. Businesses across the region have been forced to innovate. Some have been backed into a corner while others are only now seeing avenues to scale. What will be essential to every business, is finding what makes them different […]

Mobile devices are well established at the heart of our digital lives. Today, these devices are utilized as personalized and enterprise application nodes. Moreover, mobile devices support ubiquitous access to data which even makes them a pivotal component in the deployment of applications such as online games. However, there are challenges that have plagued the […]

Automatic analysis of sport videos is an attractive research area in computer vision that is driving the sport analytics towards a more technological edge. By automatically analyzing sport videos, lots of information could be drawn that benefits the teams, coaches, referees, players and even the fans, such as: extracting strategy of the game, technique and […]

This project enhances scholarly and public understandings of how technical scientific knowledge shapes legal outcomes, especially through the process of finding facts. Fact determination is an unregulated yet enormously consequential task for courts. Yet the law of evidence remains widely conceptualized as an essentially rule-bound domain, including in legal pedagogy. Meanwhile, despite judicial efforts at […]

ResolvMD is a medical software startup that is focused on building a disruptive solution to a multi-million dollar problem. Our product is a best in class billing solution that will serve to re-define the value proposition for how physicians understand their practice in a thoughtful, insightful and transparent way. As we transition technology along the […]

Over the years, the methodology for public consultation has evolved to include public information meetings and hearings, telephone polls and surveys, and most recently online engagement. Increasingly, government is emphasizing evidencebased decisionmaking. They recognize that existing methods are lacking in reaching a broad demographic. Internet communication technology has made it possible to reach a broader […]

Insider threat is one of the most damaging security threats to the safety of data, systems, and intellectual property of institutions. Typical threats caused by malicious insiders are trade secrets / intellectual property theft, disclosure of classified information, theft of personal information and system sabotage. Malicious actions of insider threats are performed by authorized personnel […]

Chronic pain is a widespread disorder, leading to devastating personal and financial costs for patients and the Canadian healthcare system. As such, there is a need to identify factors associated with improved pain care. Previous research suggests that, although limited in practice, the use of technology to electronically collect patient data may allow for more […]

As very large scale integrated circuit (VLSI) technology progresses, power consumption and power density of VLSI circuits increase when design complexity and transistor density increase. Low-power design becomes a major design challenge. Lowering the supply voltage is one of the most efficient ways to save power because power consumption is proportional to the square of […]

Le projet consistera à concevoir et analyser un sous-réseau d’antenne qui devra s’intégrer à une grande antenne réseau, formant le cœur d’un radar à synthèse d’ouverture (RSO). Ce RSO sera utilisé sur une satellite à basse orbite et sa mission sera d’obtenir des images de la couverture, et plus spécifiquement de la masse de neige […]

Today, data centers are playing an essential role in the explosion of cloud computing services and the Internet. However, the current architectures of data center networks have not been optimized to transport traffic dynamically. In this project, we will develop a new architecture, which is based on the theoretical concept of Expander graph, for data […]