Outils de diagnostic et de prévention de l’insatisfaction des employés

La rotation de personnel est un problème majeur dans l’industrie des soins de santé à domicile. Dans un contexte où le travail des intervenants est particulièrement basé sur une relation de confiance avec les patients, la prévention de la rotation est déterminante pour le continuum et la qualité des soins prodigués. Perdre un infirmier ou […]

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Modeling and Analysis of Multi-Constituent Systems with Long Range Interaction

Energy-driven pattern formation induced by competing short and long range interaction in multi-species systems is pervasive in the natural world. The phenomenon of self-organization during pattern formation is quite common, and encountered in a variety of fields, such as biological systems like animal coats and skin pigmentation, and physics. As an example, we cite the […]

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Temporally consistent employee group labels

Analytical applications in large organizations across even intermediate time ranges are often made complex, costly or even impractical due to temporal inconsistencies in the available data. The ever-changing nature of organizations causes categorical labels in data to change over time. This is particularly true for HR data, as the organization adjusts to changes in skillsets, […]

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Improved transductive regression using interconnected data

The explosion of data from personal phones, apps, and sensors have enabled powerful machine learning algorithms to help computers identify, categorize, and evaluate information without the help of humans. However, teaching computers how to identify, categorize, and evaluate information usually requires feeding the computers a lot of data pre-labelled by humans. The pre-labelling process is […]

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Integer Factorization

This project lies in an area of mathematics called computational number theory. Specifically, we will be studying the topic of integer factorization. The idea is that all non-prime integers can be factored into a product of smaller integers. While this seems simple, it is computationally difficult and although various factoring algorithms attempt to solve the […]

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Planification et développement d’algorithmes d’interprétation d’images spectrales

L’entreprise Logiag (pour logiciels agricoles), en partenariat avec le Conseil national de recherches du Canada (CNRC) a mis au point une technologie LIBS (« Laser Induced Breakdown Spectroscopy ») pour la réalisation d’analyses agricoles (sol, feuille, fourrage). L’appareil, déjà certifié par la norme ISO 17025 (qui reconnaît la compétence des laboratoires d’essais et d’étalonnages), permet […]

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Developing a Metrics Program for London’s Million Tree Challenge

As a part of the Million Tree Challenge, the MITACS intern will work with ReForest London staff and partners to conduct research to determine how many trees are planted in the City of London this year. As a part of this work, they will conduct of review of the best data collection practices of other […]

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Information Asymmetry in a Fragmented Low-Latency World

This research aims at improving theoretical financial markets models in order to account for the presence of informed traders in a contemporary setting. Despite the fact that privileged information has always been present in various shape or form, theoretical models seemed to be able to account for such informational asymmetry and provide ways to measure […]

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Impact of Open Banking on Canadian Financial Transaction Platforms

Open banking systems have slowly migrated throughout the world, they are already implemented in Australia and Great Britain. An open banking system allows financial institutions to communicate directly with one another without the need of a central payment processing or clearance platform. As Canada turns to open banking in the future, payment processing platforms’ product […]

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Modelling rainfalls by dynamic copulas

Supervisors: Mélina Maillhot (Concordia University, Montreal) and Elena di Bernardino (CNAM, Paris). Postdoctoral Fellow: Fátima Palacios Rodríguez (INRIA Sophia Antipolis- Méditerranée, Montpellier) The main aim of the project is to provide adequate models for rainfalls time series by representing the time dependence related to flood events with Vine copulas. Copulas are easily understandable multivariate models […]

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