This research will focus on the design of 5G networks to provide for future wireless services include the use cases of Enhanced Mobile Broadband (eMBB), Massive Machine Type Communication (mMTC), and Ultra-reliable and Low Latency Communications (URLLC), and application area use cases such as Smart City, Smart Home/In-building, Augmented Reality, Self-Driving Cars, etc. 5G Technology […]

Axes Network Solutions Inc. est une entreprise québécoise offrant des services de gestion des informations en infonuagique qui octroie des licences d’intelligence et d’applications exploitables pour l’industrie mondiale du divertissement et des loisirs. Dans un souci de se moderniser et d’offrir des solutions plus variées et plus conviviales à ses membres clients, Axes souhaite explorer […]

Patient-Reported Outcome Measures (PROMs) are validated questionnaires with which respondents self-report their health status. This may include symptom severity, functional status, and quality-of-life data. PROMS are an increasingly important part of the communication between a patient and their healthcare team. Beyond the individual encounter, PROMs data is also critical to healthcare systems providing more personalized […]

Visier Solutions Inc hopes to create a new standard for the measurement of employee diversity in organizations based on scientific research and measured baselines. With the help of the interns, this study will set a standard for the practical measurement of diversity in organizations as well as best practices in the analysis of metric results. […]

Ubisoft records the interaction between its customers and its servers in large execution logs (also called traces). Any failure of the system is thus recorded therein. However, the considerable size of these logs considerably hinders their effective use by analysts and developers. We propose an automated method to detect failing executions, and furthermore to characterize […]

This project will address the production test needs of a silicon-based high-speed photonic transceiver solution for metro-reach terabit optical modems. For this project, the partnership will be between Ciena, DA Integrated (test development contractor) and Prof. Gordon W. Roberts from McGill University (academic expert in DFT and mixed-signal design and test). The scope of this […]

Recent advances in using machine learning for object recognition and image manipulation have resulted in a new and emerging market for mobile applications that use machine learning for creating a variety of new artistic expressions. This research will develop a framework for performing machine-learning-based photo and video manipulation on mobile devices with the goal of […]

Annually, 2 million individuals in North America suffer mild traumatic brain injury (mTBI) or concussion (cost: $75 billion), with 200,000 in Canada. An objective tool is required to distinguish concussed subjects acutely from ontrols, and to predict who will develop chronic symptoms. The frontal lobes, the corpus callosum, and the thalamus play key roles in […]

Prompt doit identifier les PME qui ont un fort potentiel de croissance au sein de l’écosystème canadien de la 5G. Dans ce contexte, la recherche propose d’exploiter une base de données textuelles. Elle est constituée par les sites internet de 7 000 entreprises. Cette base de données a déjà été construite par Prompt. Le premier […]

State-of-the-art forecasting: Demand planning is a critical part of a business’ operations. Traditional approaches to forecasting use statistical methods to predict future demand from past transactions, but do not take into account contextual data. However, there are good reasons to believe that contextual data – such as weather, events, product descriptions, sentiment analysis (from reviews, […]

A risk-based approach to anonymization includes an assessment of the risk that an attack to reveal or uncover personal information will be realized, known as threat modelling, against the risk that an attack on the data will be successful (e.g., a re-identification). We wish to incorporate the provable guarantees of differential privacy into this assessment […]

On time discovery of problems and constant monitoring of construction sites have great economical benefit. It requires the capability of highly efficient and accurate object detection and segmentation algorithms that can work with coarsely labelled training samples. The project is aimed to develop new learning-based object detection and segmentation algorithms for problem detection and mapping […]