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 […]

The objective of the research is to develop a system leveraging data captured for commercial building management systems (BMS) to take decisions in to reduce energy consumption without affecting comfort. The idea is to showcase how intelligent control can be implemented in existing BMS to optimize energy consumption. The project is divided in three parts: […]

The ultimate goal for Artificial Intelligence and Robotics is to enable technical systems to adapt themselves, learn from their environment, and take decisions in concordance with specific situations, without human involvement. Specifically, cooperation between these intelligent technical systems is considered as a key factor towards such a challenge. This project aims to enhance an autonomous […]

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 […]

We propose to explore the notion of relative reachability in transportation networks. Relative reachability refers to the determination of which transportation mode is more efficient to reach a given location in a city, e.g., using private vehicles vs. public transit. Within this context, an obvious and admittedly straightforward question (query) is to find the relative […]

Driven by cloud based applications and services, there are substantial worldwide research and commercialization efforts that are being directed toward improving the capacity of intra- and inter-data center networks. Intra-data center networks operate in the O-band (1260-1360 nm) over distances ranging from 0.5 m to 20 km, and inter-data center networks operate in the C-band […]

Source code is what programmers write as instructions to the computer to execute to complete a desired task. All operating systems and applications on a computer or a mobile device is a runnable version of a compiled source code. Experienced programmers can easily browse and understand source code in different programming languages because they have […]

How to build a medical education ecosystem and improve the learning outcome? Currently a medical education system based on mixed reality is missing and bad user interfaces can leave students confused and struggling instead of learning efficiently. The goal of this project is to leverage mixed reality technology, develop a medical education system, and make […]

This proposed project aims to enable computers to read and understand a document and answer questions related to the documents by using Machine Reading Comprehension technology. In other words, the goal of the project is to equip computers with a similar reading comprehension ability as human beings. The technology can be used in many contexts, […]

Ciena is a Canadian company leader in engineering and manufacturing networking systems and devices. The company has around 5,000 operable products in its portfolio. The vast majority of Ciena products generate logs during the boot up and the mission mode operations from the various tasks running on their real time operating systems. The company wants […]

The main goal of this proposed project is to develop a novel bilingual topic model, which explicitly models the word co-occurrence cross-lingual in document-aligned comparable data using a novel merging and shuffling strategy, called CL-BTM. Given a document-aligned multilingual corpus, CL-BTM can be employed to extract latent cross-lingual topics that optimally describe the observed data […]

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 […]