The objective of this project is to use artificial intelligence (AI) approaches to solve complex industrial problems. The two biggest advantages of AI-based approaches are the ability to continuously learn and also learn adequately from historical data. Traditionally, many process information are unmeasurable during live operations because of instrumentation limitations. Also, plants are not sufficiently […]

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, […]

Making robots walk and balance as well as humans is extremely difficult. New techniques involving machine learning have shown promise in getting robots to mimic the movements of humans recorded using motion capture technology widely used for videogames and movies. While these techniques show promise, they are still in development, and have difficulty switching between […]

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 […]

This research project will examine the imPROVE program at Provincial Health Services Authority. The imPROVE program is a large scale initiative designed to ensure or improve the quality and efficiency of health service delivery using LEAN methodology. This research will investigate several components of interest as identified by key stakeholders, which will provide decision makers […]

Project NOVA will build on the University of Ottawa and Ciena’s advanced analytics capabilities to allow networks around the world to understand where video flows run over their network. This will allow the network operators to improve video Qualify of Experience for their end customers, more quickly and cost effectively fix video impacting network problems, […]

Due to its versatility, time and cost saving, additive manufacturing (AM) technology, and more specifically selective laser melting process (SLM), is replacing conventional manufacturing processes, particularly for producing complex geometry components. In this technology, the near net shape parts are incrementally built by fusing layers of powder material using an intensive heating source/ Structural stress […]

La planification des opérations de maintenance est une tâche compliquée car elle est difficilement prévisible. La détermination des points bloquants dans la production permettra de mieux les éliminer et ainsi de réduire le temps de réparation des turbines. Pour cela, le stagiaire cherchera dans un premier temps à trouver le meilleur logiciel pour faire cette […]

Financial indicators of an individual firm may be in the form of time series, vectors, or even richer data, such as text or images. The purpose of this work is to explore and develop methods for dealing with such data, and in particular perform the clustering/classification of such data into similar groups. In the project […]

Le projet consiste :!l extraire, a partir d’un Ires grand vOlume de courriels, un vocabulaire structure qui pourra etre mis a profit pour I’elaboration d’une politique de retention et de controle. Plus precisement, des methodes seron! developpees pour I’extraction d’un ensemble de termes pertinents puis, dans un deuxieme temps, I’ensemble des relations pertinentes dans lesquelles […]

Increasing cancer diagnoses and advancements in detection and treatment have allowed more patients to survive for longer periods of time. Correspondingly, patients are increasingly reporting side effects that influence quality of life (QOL). This creates demand for more accessible methods of long-term collection of patient reported outcomes (PROs). Due to geographical, time, and financial constraints, […]