Nous allons faire l’analyse par résonance magnétique nucléaire du solide de bétons contenant du métakaolin (argile calcinée). Il est considéré que le métakaolin pourrait éventuellement remplacer le ciment Portland, dont la fabrication est l’un des principaux contributeurs à l’émission de gaz à effet de serre. Ce stage se fera dans le laboratoire de Science et […]

This research project will explore how a Geographic Information System (GIS) analysis can aid in enhancing the sustainable Basa fish industry in Vietnam. Enhancement is achieved through increasing market value, reducing the impact on global seafood supply chains and reducing negative local environmental impacts. GIS is an application that allows for complex spatial analysis of […]

Within the Canadian context, this project is expected to solve an environmental problem related to the contamination of soils by heavy metals from the mining industry and deal with a great amount of forest waste generated from the forest industry. This project aims to develop tannin hydrogel from wood residues from Canada, evaluate its performance […]

The proposed semi-active rolling seismic isolation system offers an innovative solution to address limitations in passive isolators when exposed to near-fault seismic waves with velocity pulses. Passive isolators effectively control acceleration responses against typical far-field seismic waves but can allow excessive displacement responses during near-fault events, risking collisions and structural damage. This system integrates sloped […]

Cancer’s persistent prevalence calls for innovative steps in early detection and therapeutic interventions. Metabolomics offers a comprehensive view of the metabolites that measure the function of cellular processes in this context. As explainable AI (XAI) emerges, it sheds light on these intricate systems’ decision-making processes and outcomes, making them accessible to human understanding. The project […]

The rise of Big Data, social networking, and mobile interactions coupled with an accelerating increase in the amount of structured and unstructured information enabled by cloud based technologies is forcing organizations to focus on information that is most relevant, value-generating, and risk-related. Problems arise when we make decisions based on good enough metrics (e.g. means) […]

The proposed research project aims to gain crucial insights into the stellar assembly of galaxies using advanced machine learning techniques. Most galaxies in the Universe are not isolated systems; they grow primarily through interactions and mergers with other galaxies. While we know that mergers significantly impact galaxy evolution, quantifying the contribution of accretion to a […]

This research project aims to explore the Dutch Reformed theologian Herman Bavinck’s reception of Protestant reformer John Calvin’s theology within the Christian creedal doctrine of Christ’s descent into hell. Following Calvin and other Reformed theologians, Bavinck saw Christ’s descent into hell as an expression of the spiritual agony which he endured on the cross, and […]

Our research leverages large language models (LLMs) to analyze text data from Reddit and StockTwits, exploring differences in investing styles between Republican and Democrat retail investors. Building on Cookson et al. (2020), we will use advanced LLM techniques to classify political affiliations based on language patterns and analyze retail investor sentiment from 2010 onwards. Cookson […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW.

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

Our project aims to improve how AI models learn from human feedback. Current methods assume human preferences can be reduced to a single “reward” value, but research shows this isn’t always true. We will investigate if an AI algorithm can learn from human preferences without relying on rewards. If possible, we’ll design and test algorithms […]