L2M-Shipping rate forecasting using deep learning solutions

In the complex and ever-evolving realm of shipping investments and operations, informed decision-making stands as a cornerstone of success. Within Soshianest Inc., the primary focus lies in providing precise and reliable freight rate forecasts. Through the utilization of state-of-the-art AI models, the company aims to enhance shipping strategies, enable data-driven decision-making, and adeptly maneuver through […]

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L2M-Image_Synthesize

Medical imaging is a cornerstone of modern healthcare, but challenges like high costs and limited accessibility hinder its potential. This project investigates the use of diffusion models—a cutting-edge AI technique—to generate synthetic medical images for targeted healthcare applications. By focusing on a single imaging task, such as cross-modal imaging or sequence generation, the project will […]

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L2M – Project Peace

This project aims to create engaging learning activities and a digital interface to help different groups of people understand and talk about important social issues like racism, ageism, cultural differences, and generational divides. The project will focus on four main groups: young children, high school or university students, community members, and workplace teams. By developing […]

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L2M-Long-lasting, ultra safe, and eco-friendly liposome-based sunscreen

Skin cancer, especially melanoma, is one of the most prevalent cancers worldwide, with North America experiencing particularly high rates. Despite the importance of daily sunscreen use, concerns about the safety of traditional UV filters—such as skin penetration and potential hormonal disruption—continue to grow. Additionally, these filters degrade when exposed to sunlight, reducing their effectiveness over […]

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Deepening Intersectional Considerations of LGBTQ+ Health

In wanting to better understand how the intersections of gender identity and expression, sexuality, racialization and ethnicity are taught within mental health care, education and professional practice, the overall objective of this research project is to learn how LGBTQ+ identities are taught to and understood by psychology students in Brazil. Dr. Dhebar will learn intersectional […]

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Developing diffusion models for wind downscaling

This research project aims to develop a ready-to-use model for predicting detailed wind patterns at wind farms to help the industry better plan turbine placements and forecast energy output. Wind speed data is usually available at a large, low-detail scale, which makes it hard to predict specific site conditions accurately. Generating high-resolution wind data using […]

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Developing a DARTS proteomics method to identify the host-based targets of KSHV lytic replication inhibitors

Kaposi sarcoma-associated herpesvirus (KSHV) is virus, whose unabated lifecycle results in the formation of cancerous tumorous. Moreover, KSHV infection is particularly prevalent in people living with HIV, and has a disproportionate burden in sub-Saharan Africa. Despite this clear unmet medical need, there are no approved treatments for KSHV. Recent work, conducted in South Africa has […]

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Living with Dementia in Public Spaces: Community Based Participatory Research through an intersectional Social Citizenship Lens.

Many more people living with dementia are and will inhabit public built and social environments, and adaptations of existing spaces, programs, services and polices are required to foster equitable inclusion of people with dementia. Yet, how dementia is situated within the scope of municipal mandates and responsibilities to meet community needs is unclear. This research […]

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L2M – PoseidonPulse

The proposed project focuses on developing a business and go-to-market strategy for PoseidonPulse, an advanced AI-powered water quality monitoring system designed to improve sustainability and operational efficiency in Canada’s aquaculture industry. By continuously tracking essential water parameters, this system enables aquaculture farms to proactively manage water quality, supporting healthier fish populations and optimized farm performance. […]

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L2M – An adaptive communication module for real-time network switching between satellite and cellular or radio to optimize connectivity for autonomous maritime vessels (MASS).

The project aims to create a mountable communication system, for Maritime Autonomous Surface Ships(MASS) that enables them to switch between satellite and cellular networks like LTE and 5G depending on signal strength automatically. This innovation ensures communication for the smooth and secure operation of unmanned ships. By investigating market requirements and strategic plans this initiative […]

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Création d’un modèle d’encodage XML-TEI pour les registres de comité de la Comédie-Française (1677-1919)

Ce projet de recherche a pour objectif de créer une édition numérique des registres de comités de la Comédie-Française. Ces registres témoignent de la vie quotidienne de la troupe de théâtre, et sont actuellement conservés à la bibliothèque-musée de la Comédie-Française. Grâce au travail des étudiants et étudiantes de master sous la direction de Florence […]

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