Over the past few years, Graph Convolutional Networks (GCNs) have achieved state-of-the-art performance in machine learning tasks on graph data and have been widely applied to many real-world applications across different fields, such as traffic prediction, user behavior analysis, and fraud detection. However, networks in the real world are often with heterogeneous degree distributions, such […]

The objective of this project is to develop an algorithmic system, trained on both public legal data and proprietary negotiation data, that will provide tailored predictions of likely court-based dispute resolution outcomes and optimal settlements. In the proposed sub-project, a team of interns (JD students) will be modelling and labelling dispute-resolution data on complaints against […]

Dynamic stresses in transmission lines mainly originates from the winds. To control these vibrations and stresses, damper devices are commonly used. In some countries, including France, bretelle dampers are used. Bretelle damper is a low tensioned pieces of conductors that is attached to the overhead conductor spans near the span-ends by means of clamps. Bretelle […]

Ghostlab has a few major projects. These include: (1) their Ghost ATM software, (2) their administration panel, and (3) their Bitcoin Well web services. (1) Ghost ATM makes cryptocurrency as accessible as cash. It aims to handle all the necessary components needed to complete cryptocurrency exchange so that users receive and simple and convenient experience. […]

Lifetime Productions was established to make the world a better place through strategic communications. On top of helping clients with existing services, Lifetime works to add more value to current and future clients with a new initiative in 2021 called Ethical Digital, Canada’s first organization solely dedicated to leading constructive discourse around ethics and helping […]

The proposed project investigates an approach to solve difficult physics problems, which are too computationally intensive for standard computers, using Xanadu’s near-term quantum computers. The goal of the project is to create a simulation tool that harnesses the exponential increase in efficiency offered by quantum computers to simulate the movement of particles and the subsequent […]

The Canadian Light Source produces a very bright light which can be used to study DNA, viruses, cells, proteins, and other small-scale structures. To generate this light, the CLS needs a beam of electrons which are generated by an electron gun. In 2018, this electron gun failed, and the facility was unable to function for […]

Le projet de maîtrise de la candidate a pour objectif de fournir les connaissances et balises nécessaires au développement d’un outil de suivi de la vache en période de transition. Cet outil abordable et efficace sera développé à partir de la composition en acides gras (AG) du lait. La période de transition étant reconnue comme […]

Manipulation and characterization of ultrafast optical signals are fundamental procedures for a wide range of applications, including telecommunications, biology, quantum information science, spectroscopy, and atomic and molecular physics. In this context, the so-called theory of space-time duality offers a powerful framework for the development of important optical signal processing functionalities. One of its key elements […]

Dans ce projet, nous nous proposons de développer un modèle de simulation qui vise à analyser le flux des patients aux urgences, particulièrement le temps d’attente. Cet outil permettra aux responsables de la coordination du CHUM d’être proactifs dans la gestion des urgences. Il leur servira entre autres à comprendre le comportement du système, identifier […]

We are witnessing an explosion in the use of machine learning (ML) algorithms with significant impacts on the world’s economic and social activities. The backbone of a machine learning algorithm is a deep neural network which is composed of hundreds to thousands of neurons. To make the neural networks (NNs) functional, they need to be […]

Pavemetrics, chef de file dans les systèmes de vision numérique pour l’inspection des infrastructures routières, ferroviaires et aéroportuaires, a développé de nombreux capteurs couplés à un logiciel de traitement de données 3D afin de les offrir au monde entier. Parmi les clients de Pavemetrics, on retrouve principalement les intégrateurs de services, les firmes de génie […]