The way humans perceive their surroundings relies heavily on some sort of decomposition of those into smaller atomized entities (objects, or parts of objects). This allows for complex reasoning and prediction capabilities which are mostly seen as mundane in humans but are still a challenge to propagate to artificial systems. My project wants to explore […]

The project (future monograph) will investigate representations of Kyiv in Ukrainian and Russian literatures and media of the past two decades in the broader context of the cultural history of the city and text of Kyiv in the modern epoch. I will examine how Ukrainian and Russian intellectuals, writers, and activists have conceptualized and claimed […]

Mon projet de recherche porte sur l’effet du son des bateaux cargos sur la structure de la coquille des post-larves de la moule bleue (Mytilus Edulis). Pour ce faire, nous allons mettre les larves de moules dans un bassin conçu pour l’exposition au son, appelé larvosonic afin de les exposer lors de leur croissance. Nous […]

Vulvovaginal candidiasis (“yeast infections”) affect 75% of women at some point in their life. Approximately 10% of them will experience recurrent yeast infections, which have considerable emotional and economic ramifications and require prolonged antifungal treatment. Despite the prevalence of recurrent yeast infections, we lack an understanding of the human immune system and microbial population factors […]

Hydrological streamflow models are commonly used to warn populations of extreme events. The parameters of these models are typically calibrated to observed streamflow. The learned parameters can then be transferred to areas that are lacking streamflow observations, a process referred to as regionalisation. This project builds on previous work, which proposed using machine learning models […]

A special group of stray dogs in Brazil known as ‘community dogs’ has been the centre of interest for scientific researchers. These community dogs may hold the key to controlling stray dog populations around the world, as well as mitigating disease transmission between animals and humans. My proposed project will look at the different behaviours […]

Oil and natural gas are typically found in the reservoir rock, accumulating over millions of years and can be extracted through various techniques and technologies. The oil from the reservoir can be extracted in three stages: primary, secondary and tertiary. Secondary techniques are often implemented after the production from the primary stage ceases, mainly due […]

La cigarette électronique est un dispositif proposé aux fumeurs pour remplacer la cigarette standard dans le but de réduire-éliminer les effets nocifs de la fumée de cigarette. Cette cigarette électronique est habituellement utilisée pour vapoter un liquide composé de propylène glycol, de glycérine végétale et de nicotine. Cependant, plusieurs études rapportent une combinaison de l’e-cigarette […]

Historical documents about Japan have not included information on its long-distance running culture. A type of event called ‘ekiden’ is very popular in Japan. Ekiden racing is a team relay event, invented in Japan. Sporting events can tell us about the meaning people place on them, and the reasons why they are valued. This project […]

The project aims to improve the pharmacovigilance and the report from the adverse events derivative from the drug use for treatment of heart failure. This will occur through the analysis of reported adverse events compared to those not reported throughout the years. In addition, factors associated with reported adverse events, especially fatal ones, will be […]

Quantum computers can potentially solve problems that are intractable for classical computers. However, despite the development of a theory on the processing of quantum information over the years, the computers we use every day still outperform their quantum counterparts, if we exclude some as interesting as specific tasks. In fact, quantum states that are manipulated […]

This research project aims to enhance estimators for nonlinear dynamic models with non-Gaussian errors. Objectives include improving the semi-parametric GCov estimator by addressing numerical challenges and proposing an optimized algorithm. Adjustments to the objective function will handle sparsity and singularity issues in big data applications. The project will apply the GCov estimator to analyze the […]