Modeling and Simulation of Novel Bioplastics Materials with Natural Fibers

This collaborative project, involving the University of Saskatchewan and Université de Lorraine in France, seeks to advance our understanding of bioplastics—environmentally-friendly materials made by combining polymers with natural fibers like flax or hemp. Our aim is to develop models that can predict how these materials behave under different conditions. By studying the small-scale structures of […]

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Evaluating Non-Market Investment Benchmarks and Liquidity Premiums in Canadian Pension Funds

Le projet de recherche proposé vise à étudier comment les fonds de pension canadiens peuvent mieux évaluer la performance de leurs investissements, en particulier ceux qui ne sont pas cotés en bourse, comme l’immobilier ou les infrastructures. Le stagiaire fera une revue des études existantes pour identifier des indices de référence (ou benchmarks) qui permettraient […]

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Desjardins-Rotman: Predicting Contributing Factors To Premium Leakage

Desjardins Insurance is a subsidiary of Desjardins Group and provides a broad spectrum of insurance products and services. This includes life insurance, auto insurance, home insurance, and various other types of coverage. It’s known for its strong presence in the Canadian insurance market and its commitment to customer satisfaction. Our organization has been successful at […]

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Géométrie des paramètres de Langlands

Le programme Mitacs Globalink est pour moi une remarquable opportunité de travailler avec un chercheur spécialiste dans de nombreux domaines des mathématiques. En effet, dans le travail que je mène actuellement en thèse, j’ai été conduit à arpenter diverses spécialités des mathématiques. Pour obtenir des résultats plus généraux que ceux que je suis en train […]

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Estimation de la variance des estimateurs semiparamétriques de l’efficacité vaccinale avec le devis test-négatif : étude de simulation.

The test-negative design (TND) is an observational study design that is currently and routinely being used globally to evaluate the effectiveness of vaccines against COVID-19 illness caused by emerging SARS-CoV-2 variants. Recently, more reliable statistical estimators were proposed to get better estimates of vaccine effectiveness. However, no one has yet investigated what statistical methods will […]

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Determining Optimal Study Design Utilizing Synthetic Data

Realistic data generation has become a hot topic in health research, especially to determine optimal randomized clinical trial design. A growing field of research is “virtual” trials, which are trials conducted through computer simulations to generate synthetic data such that the generated distribution mimics the original data distribution without simply copying the original observations. Especially […]

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Design ethical AI systems for nautical crime database

The Food and Agriculture Organization of the United Nations reports that illegal, unreported, and unregulated (IUU) fishing accounts for as much as 26 million tonnes of fish each year, with a value ranging from $10 to $23 billion USD. Despite its significance, there is a notable lack of comprehensive international databases on nautical crimes, including […]

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Connector theory for entropy inequalities

Quantum entropy inequalities fundamentally limit how information can be distributed in a quantum system. However, it is an open problem to list and show all the entropy inequalities for the quantum setting beyond 3-party systems, which has proven extremely challenging both numerically and analytically. As the number of qubits we can experimentally initiate and control […]

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Addressing Endogeneity in count data using a two-stage copula generated regressor approach

This research project addresses a common problem in studying medical data: understanding the true effects of different treatments when the data is not from a controlled experiment. Specifically, we are looking at patients with systemic lupus erythematosus (SLE) and the number of infections they get. Often, traditional methods need special, hard-to-find data to ensure accurate […]

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Mitacs Accelerate Fellowship

The proposed research project focuses on understanding how to better prevent and respond to cholera outbreaks, particularly in impoverished areas lacking clean water and proper sanitation. Despite having the tools to prevent cholera, most efforts are reactive rather than proactive, meaning resources are often mobilized only after an outbreak occurs. The study will analyze the […]

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Effect of influenza vaccination with high-doseantigen on geriatric population

Vaccination is an important preventive measure against influenza infection during both seasonal epidemics and pandemic outbreaks. This research aims to evaluate the health benefits and costs associated with a new vaccine developed by Sanofi for seasonal influenza. This vaccine provides better efficacy and higher protection for individuals over 65 years of age. The vaccine is […]

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