La présente proposition s’appuie sur un partenariat d’une durée de quatre ans, débutant en avril.2010 et se terminant en mars.2014, avec le Groupe Aldo, chef de file du domaine de détail des chaussures. Ce projet d’envergure fait suite à un projet industriel réalisé en 2009-2010, lequel repose sur la recherche d’efficience opérationnelle basée sur l’exploitation […]

Le projet vise à identifier les pratiques individuelles d’immunisation qui présentent la meilleure efficience économique dans la réduction du risque d’inondation au Québec pour les citoyens riverains et l’ensemble de la société. Nous allons d’abord quantifier les coûts et les bénéfices de différentes mesures de protection et de réduction du risque d’inondation pour un propriétaire […]

Quantum computers are new technologies that harness the power of quantum mechanics to store and manipulate information. Recent years have seen accelerated progress on their development, and while their potential benefits are significant, we must now prepare the cryptographic infrastructure underlying cybersecurity to ensure the continued safety of our data in the face on an […]

In general, the goal of project is to investigate the train travel data and figure out the main factors affecting train travel time. Moreover, we will use machine learning algorithms to predict their arrival time to stations and forecast when delays will happen. Specifically, to figure out what factors are affecting train travel times, we […]

We aim to develop a new algorithm to detect changes in serial MR examinations. Computer-based change detection system is an important tool to automatically process abundant information produced by imaging systems and assist physicians to identify clinically important changes in the images. Many existing methods are computationally costly. The emerging mathematical theory of compressed sensing […]

BrainBox AI is working on the mandate to provide better solutions for optimized control of HVAC systems modeled through data using AI. The Intern will continue our research at BrainBox AI and to continue to develop data driven approaches for an optimized operation of HVAC systems in design and implementation of scalable AI frameworks for […]

Two overarching approaches to allocate the aggregate risk capital stand out nowadays. These are the top-down approach that entails that the allocation exercise is imposed by the corporate centre, and the bottom-up approach that implies that the allocation of the aggregate risk to business units is informed by these units. Briefly, the top-down allocations start […]

In this research project, we wish to further understand turbulent flows and the laws that govern them. In particular, we hope to mathematical understand the phenomenon known as “anomalous dissipation” or the “zeroth law of turbulence”. This anomalous dissipation refers to when the viscosity coefficient in a fluid approaches zero, the rate of energy dissipation […]

Scalable systems must seamlessly grow to absorb large data sets and incorporate increasing numbers of processing units within in various communication fabrics. Broadly considered, this concept applies to cores sharing memory, processors sharing a bus, nodes sharing a network in a grid/cluster/cloud, or services sharing compositions of components. Ironically, attempts to add more resources-whether they […]

Operations Research — often referred to as the “Science of Better” — uses Mathematics to improve the efficiency of everything from the operation of airlines to hospitals. In collaboration with the BC Centre for Excellence in HIV/AIDS at St. Paul’s Hospital and Merck Frosst, this project will use Operations Research to improve the treatment and […]

Business valuation deals with the estimation of a company’s value, using information from markets and the company’s financial statements. Such valuation is important when assessing mergers and acquisitions (M&A) of companies or the sale of an owner’s share in a business. Three different approaches are commonly used for business valuation: the income approach (estimating future […]

The intern will research new modelling technology to determine if the new models can make a significant improvement in servicing customers for loan approvals, debt collections, and open banking. The intern will work closely with the partner to understand the banking process and opportunity. The partner organization will receive several benefits from working with the […]