Le vieillissement de la population bouleverse le marché de l’emploi. Ce projet de recherche, mené auprès des premiers responsables RH du secteur de la finance et des assurances (entrevues et questionnaires), vise à analyser les défis de gérer un capital humain clé instruit vieillissant dans ce secteur ainsi que d’identifier des actions et des activités […]

Municipalities from all over the world use asset management software as a decision-support tool for infrastructure planning and management. Executive-level users and financial planners need to understand, adjust and collaborate over the data stored in these systems. The objective of the project will be threefold: first, I will investigate new methods for a rich real-time […]

Asset management systems are becoming essential tools that help municipalities in infrastructure planning and management decisions. Additionally, building effective user experience solutions is an important factor in the success of any solution. The project objectives will be to investigate methods for building personalized user experiences and interfaces for the core of the company’s platform for […]

Although beta distribution models are a well-known tool for evaluating the recovery risk of credit instruments, concerns are raised regarding tractability its analysis and simulation. The project attempts to address such concerns by incorporating a mixture beta distribution model. The project will compare the efficiency of the proposed model with the commonly used beta distribution […]

Although latent variable models are a well-known tool for evaluating a portfolio credit risk, concerns are raised regarding tractability of a subsequent analysis/simulation. The project attempts to address such concerns by incorporating a special class of Bernoulli mixture models. Then, efforts will be made to compare efficiency of these models with the commonly used latent […]

The project – Strategic Asset Allocation from a Canadian Investment Perspective – will focus on the efficient allocation design for a Canadian investor. This will be achieved throughforecasting of long-term (5-10 years) expected returns of Canadian fixed income and equities, as well as US and global equities. The forecasts mostly rely on economic/fundamental analysis such […]

La caisse Desjardins a subi une mutation profonde sous la pression d’un environnement ayant de valeurs différentes de celles du paradigme coopératif. Elle doit travailler à rendre visible la distinction coopérative qui la différentie du monde bancaire. Elle veut renouveler le sens de la coopération auprès de ses gestionnaires et de ses employés. Pour ce […]

This project attempts to develop new solution to two problem types that are known to be intractable optimization problems. These include a scheduling problem, the PSP (Project Scheduling Problem), and a problem found in trading (leg-pricing). These problems are investigated to evaluate the applicability of recently developed quantum annealing processors, which specialize in optimization problems, […]

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to […]

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to […]

The objective of the proposed research project is to develop a realistic color appearance model based on the human visual system’s functioning that addresses the issue of noise under low luminance levels. This will be incorporated into algorithms used in the color reproduction and retargeting algorithms of OLED displays. This model should give rise to […]

Cloud-based predictive analytics service allows businesses to improve their performance with a minimal investment in infrastructure. Moreover, it enables collaboration and simplifies decision making. However, there are technical obstacles that prevent the large-scale deployment of such service to support millions of users. In fact, a cloud analytics platform runs on a distributed clustercomputing system. Hence, […]