Osteoporosis is a prevailing skeletal disease that was diagnosed in over 2.3 million Canadians as of 2016-2017, with 80% of this population being women. Osteoporosis imposes many health complications such as increased likelihood of bone fractures and implant failures. Since bone is a dynamic material that is constantly remodelling, it’s important to understand how osteoporotic […]

The research project focuses on getting new insights in the social behavior of Brown Bears. The social system of a species describes the pattern of relationships between and among individuals and social groups and how these are distributed across the landscape. Animal sociality can affect individual fitness, and vice-versa, and is often a crucial factor […]

In this project, I examine the process of food selection by wild, white-faced capuchin monkeys using a novel multi-methodological approach. Capuchins are highly omnivorous, eating over 100+ fruit species as well as dozens of invertebrate prey species. However, when it comes to plant pith, the spongy interior of tree branches, capuchins are uncharacteristically picky, consuming […]

The O’Tierney-Ginn lab in the Mother Infant Research Institute, Boston, seeks to understand how maternal-placental communication affects fetal growth and pregnancy outcomes. Specifically, they are investigating the mechanism of action of specific miRNAs produced by the placenta that were associated with maternal insulin resistance in pregnancy. In fall 2023, Ms. Lavoie will complete a 15-week […]

My project aims to complement the Toi, Moi, Bébé (TMB) program with a Virtual Reality (VR) system. The TMB program aims to prevent perinatal mood disorders, including depression and anxiety, by reducing experiential avoidance and improving self-soothing capacities, which are ideal targets for a VR system. Different applications will be developed for each component of […]

I am interested in understanding the linkages between land markets, loss of forests and how people are able to decide how land will be used. I will measure land prices and land ownership in the past twenty years in one department of the Colombian Amazon that has experienced violence and conflict throughout the past 50 […]

This project aims to reexamine the relationship between representative institutions, property rights, and long-run economic growth in preindustrial Europe. We argue that (some) early parliaments contributed to growth not so much by restraining the sovereign from violating his subjects’ property rights as by facilitating the elimination of obsolete, anti-developmental property rights. Through comparative case studies […]

Urbanization processes are taking place in the world, so they need the latest research. Spatial orderliness and organization of urbanization forms changes over time, which determines the peculiarities of regional living conditions, its level and quality. A detailed analysis of urban studies in Ukraine and the world testifies to the completeness, significant scientific and practical […]

AI tools based on deep learning has recently been suggested for many complex problems where a large amount of data is available. We will be working similar AI tools but problems from very different domains, namely, airport delay management after disruption and predicting prices of fresh produce under challenging climate conditions. Establishing a recovery flight […]

While there have been several literature reviews on the performance of digital sepsis prediction technologies and clinical decision-support algorithms for adults, there remains a knowledge gap in examining the development of automated technologies for sepsis prediction in children. Pediatric sepsis is a major cause of mortality of children worldwide. However, there is still a lack […]

The goal of this research The system will be designed to intelligently propose redactions for court officers to examine, thereby integrating human oversight with advanced technological capabilities.is to engineer an intuitive and user-friendly system capable of automatically scrutinizing and eradicating confidential information contained within refugee court files in Canada. By leveraging cutting-edge language processing and […]

This research project focuses on improving the analysis of hyperspectral images, which capture images with many narrow spectral bands. Hyperspectral images have many challenges due to their high dimensionality and data redundancy. To overcome these challenges, the researchers aim to develop an advanced intelligent analytics framework for hyperspectral dimension reduction (HDR) using disentangled representation techniques. […]