Le nouveau contexte dans lequel e?voluent les ba?timents du 21e?me sie?cle impose clairement le de?veloppement de nouvelles technologies de l’information et de la communication a? la fine pointe afin de constituer des outils d’aide a? la de?cision pour la gestion efficace d’e?nergie dans les ba?timents. L’intelligence artificielle (IA) joue un rôle important facilitant le traitement […]

Regulatory bodies, such as the Office of the Superintendent of Financial Institutions (OSFI) require that financial institutions properly assess and manage risk. Regulatory bodies aim to ensure the stability of financial markets, and the economy at large, and they do so by imposing guidelines on a firm’s risk management practices. Risk management models in general, […]

Searching for parking has many terrible impacts, such as wasted time, fuel, and emissions, overpaying for parking etc. To ease the pain of parking, the goal of this project is to develop a method of collecting information from multiple sources (crowd-sourced information from parkers, active paid session information from managers/parking enforcement, and availability information from […]

The availability of inexspensive electricity in a constant and reliable fashion is critical to economic development and efficient resource consumption. To this end, accurate short term load forecasting (STLF) on an electrical grid enable the minimization of dispatch and running costs on the scale of seconds to a week. Models and approaches employed in STLF […]

This internship research project is aimed at using state-of-the-art machine learning and AI techniques to create profitable trading strategies in the derivatives markets. This research is key to the business operations of the partner organization and gives interns invaluable experience and insights to the business.

CONTEXTE : Nos recherches proposent le développement de méthodologies statistiques et de leurs applications aux données réelles issues de disciplines très différentes. A l’heure actuelle, les scientifiques ont régulièrement accès à des données mesurées sur plusieurs ensembles (blocs) de variables pour le même ensemble d’observations. Cette structure de données est connue sous le nom de […]

The big data era represents an opportunity for statistical methods to shine, through applications relevant to a wide spectrum of fields, including actuarial science. In order to seize and make the most out of this opportunity, researchers and practitioners must, however, effectively manage the challenges that big data pose. The intern will be exposed to […]

La motilité cellulaire joue un rôle central dans un grand nombre de processus physiologiques : la réponse immunitaire, le développement neuronal, le développement des cancers… pour ne citer qu’eux. Comprendre les mécanismes à l’origine des migrations cellulaires, ainsi que les réactions d’interaction est donc crucial. Il est établi que certaines protéines y jouent un rôle […]

My Ph.D. research focuses on coarse-graining using machine learning-based methods and analytical theory for building physical models for multi-scale modeling. There are many reasons for performing simulations on simpler systems. In complex systems with large scales, we are concerned with the effective interactions and driving forces that emerge from the detailed descriptions of the systems. […]

A verifier-prover — where a “prover” suggests an answer to a question, which is then checked by a “verifier” — is a powerful analytical tool in computer science. As an example, understanding the number of transactions required to answer a computational question in a prover-verifier setting offers insights into the difficulty of that computational problem. […]

Sommaire de la vision Espace Données Réunir les données de tous les domaines d’affaires des organisations scolaires du Québec dans le but de positionner la GRICS comme référence provinciale dans la valorisation, l’accès et la gouvernance des données en éducation. Objectif de la solution Espace Données Offrir aux Centres de services scolaires, aux commissions scolaires, […]

This project aims to develop and evaluate new geometric modeling algorithms of power line and building objects required for conducting power-line related asset risk analysis in challenging environment considering wind blowing effects. The project also aims to integrate newly developed algorithms into York University’s in-house power line modeling test bed and evaluate their performance using […]