Optimisation des horaires pour les employés d’agence ainsi que de la politique de gestion des employées sur appel

Merinio propose une solution de gestion des remplacements qui permet à l’employeur de construire des horaires pour une certaine demande en quarts de travail, puis de communiquer directement avec les employés pour leur proposer des opportunités de remplacements. Les employés peuvent aussi prévenir leur employeur de leurs absences et accepter une des propositions de remplacements […]

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Modèle de réserves stochastiques incorporant le jugement actuariell

L’utilisation de modèles statistiques pour décrire l’évolution du passif des polices est très recherché par l’industrie de l’assurance dommage, alors qu’il pose des problèmes théoriques extrêmement pertinents pour la science actuarielle. La dépendance entre les lignes d’affaires est un concept connu mais très complexe à quantifier. Une meilleure compréhension de cette dépendance par l’entreprise est […]

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Reducing homelessness using direct cash transfers (expansion project)

The goal of this project is to examine the effect of one-time unconditional direct cash-transfer to recently homeless individuals in Vancouver, BC, Canada. Building on promising results from our research team’s ground-breaking pilot randomized controlled trial (RCT) with 50 cash recipients, the current project seeks to confirm this preliminary evidence using a larger RCT with […]

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Evolution of digital access modes in Employee and Family Assistance Programs

Shepell·fgi is a leading provider of Employee and Family Assistance Programs (EFAPs) for domestic and global clients. As digital technology and online social networks became increasingly important, Shepell·fgi added new digital services (First Chat, Video Counselling, Online Access, and other online programs) other than the traditional delivery channels (telephone and in-person appointments). Many recent studies […]

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Catégories dérivées d’algèbres graduées et extensions triviales

Valentine Soto (VS) est actuellement en thèse à l’Université Grenoble Alpes (UGA) sous la direction de Claire Amiot (CA). Elle bénéficie d’un contrat doctoral international du CNRS à l’UGA dont l’IRL d’accueil est le CRM de Montréal. Son référent scientifique à l’IRL est Thomas Brüstle (TB), professeur l’Université de Sherbrooke (UdS). Ce contrat engage VS […]

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Constraint Satisfaction Reconfiguration

The constraint satisfaction problem (CSP) is one of the classical problems studied in Theoretical Computer Science and asks for an assignment of values to variables such that given constraints are satisfied. The CSP includes as special cases for example graph coloring and Boolean satisfiability. Besides its theoretical importance, it has applications in many different domains, […]

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Plannification des horaires des agents enfonction des prévisions des arrivées d’appelsdans les centres d’appels d’Hydro-Québec

La gestion des opérations de centre d’appels d’Hydro-Québec est une tâche très complexe qui implique souvent un équilibre entre des objectifs contradictoires. En effet, les gestionnaires ont pour but d’atteindre des niveaux élevés à la fois en termes de qualité de service et d’efficacité opérationnelle. La qualité du service est généralement mesurée par les principaux […]

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Combinatorial aspects of persistent homology

Topological data analysis is a tool used to analyze the shape of a given dataset. It allows one to find topological or geometrical features of even large collections of data. Persistent homology is one of the main approaches to topological data analysis in recent times. The strategy is to set some rule to build geometrical […]

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Comparing invariants of graph-theoretic ideals

In this project, we study a connection between graphs (also called networks) and algebraic objects known as ideals. Graph theory is a major branch of modern mathematics, with diverse applications to society and industry such as transportation system modelling and social media marketing. The simple yet fundamental algebraic structure of an ideal encodes important information […]

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High-performance Machine Learning Models for Financial Forecasting

Reliable long-term and short-term financial performance predictions are crucial for financial corporations to make major financial decisions and assess their financial health. Our work will develop high-performance machine learning models to detect the underlying drivers of various financial affairs such as balance, revenue, expense and cash flow, etc. And effectively using these key features to […]

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IFRS9 Expected Loss Models and SICR, an Alberta Perspective

Regulatory changes in accounting standards implemented in 2018 (rules IFRS 9) require that banks’ provisions (i.e., reserves set aside to cover future losses) are evaluated in a forward-looking manner, considering carefully-designed projections of the macroeconomic environment. Further, should a financial instrument experience a substantial risk increase, the methodology to calculate reserves must become more conservative. […]

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Complex Network Data Analysis for Systemic Risk Management and Loss Prevention

Financial fraud is a very serious problem plaguing financial institutions. Recent advances in information technology have only exacerbated this problem. Poor risk models were at the core of the 2008 financial crisis. Complex networks, structured graphs, are powerful models for representing higher-order interactions or dependencies within data sets. Graphs are relational models of covariates, where […]

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