Advances in quantum computing have Entrust Datacard and their customers concerned about whether the industry is ready to move to post quantum cryptographic algorithms, particularly for PKI use cases. Entrust Datacard and University of Ottawa will test the quantum-readiness of commercially-available PKI. The end goal is to provide guidance to the community about the impact […]

In our vision, each human operator participating to an emergency response mission should equipped with a portable mobile command center that collects, elaborates and displays the meaningful information generated within the area of operations. In such scenario, the availability of a reliable network able to offer the required performance and reliability to an heterogeneous set […]

Detection of fights and anomalous behavior of individuals in a crowd is a common problem in computer vision. Some tools that currently exist rely on optical flow of tracked features is a sequence of video frames. These motion algorithms are sensitive to independently moving objects in the frame. What constitutes an “anomaly” is context (eg. […]

Green Shield Canada (GSC) is going to achieve the capability of data analytics in order to make data-driven decisions in various care management use case scenarios. One of these use cases is to detect specific patterns and associations between dental hygiene and health care costs of the individuals covered by them, predict points of intervention […]

Increasingly, cyber threats evolve targeting companies, industries and governments. As defense systems are strengthening, threat actors developed new tactics, strategies and techniques to break down security perimeters. Generally, the security of the perimeters are enforced by multiples intrusion prevention and detection tools responsible to provide proactive insights, real-time insights and operational insights for the detection, […]

This project aims at evaluating whether recent results in deep learning models, trained to exploit weak labels (Hwang, 2016) can serve to extract meaningful lesion localizations from image-level labels, either from individual scans or given a (longitudinal) sequence thereof. To this end, we will scale up existing models that have been shown to work on […]

Relatively few interactive narrative-based systems support storytelling as an activity that takes place between children and their parents or guardians. This project is the initial foundation HCI research to explore and prototype tools and methodologies as a contribution to the development of an innovative collaborative online storytelling application – The Kids Book Company. This is […]

Ubisoft has an extensive database of 3D scanned heads. It would be convenient to use it to mix-and-match parts of characters to create new human-like character heads. Let’s say we want to adjust medium-scale features of the face, such as replacing the nose of one character with another nose. We will design an editing workflow […]

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 […]

Virtual screening is a computational technique used in drug discovery to search large libraries of small molecules in order to identify those structures which are most likely to bind to a drug target, typically a protein receptor or enzyme. Virtual screening is thought to have the potential to speed the rate of discovery by reducing […]

The project is to conduct research on multi-platform supported Locator device by investigating an easy-to-port and extendible design to migrate a Locator firmware offered by WebTech wireless Company on alternative operating systems with more advanced features. The Locator firmware is currently run on the FreeRTOS operating system, which is known to be small and simple, […]

Decreasing operational costs is a key criterion for organizations that manage compute clusters, such as Amazon, Microsoft, Google, Alibaba, etc. One way to decrease costs it to improve resource utilization in the cluster [13, 14]. Yet, high resource utilization can negatively affect workload performance and thus user satisfaction. Performance degradation happens when workloads running on […]