Graphene is a promising new nanomaterial, single layers of graphite, with superior physical and electrical properties making it an ideal candidate for electrical applications; however, current graphene production methods are expensive and complicated. As a result, new materials that have similar properties to graphene, but are more amenable to high-yield production are currently being investigated. […]

This internship, in collaboration with the Public Actions Group of ICESI University (GAPI), focuses on the critical study of climate change’s impact on human migration and human rights. Our investigation will cover seven key topics: natural phenomena driving human mobility, the effects of climate-induced migration on human rights, the vulnerabilities of migrating groups, livelihood losses […]

Video surveillance systems have rapidly expanded, driven by their critical roles in security and traffic monitoring. This expansion has produced vast data volumes, causing bottlenecks in communication systems due to the time-sensitive and bandwidth-intensive nature of surveillance data. To address these challenges, research has increasingly focused on developing algorithms to compress redundant data effectively, evolving […]

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 […]

This research project aims to tackle the challenge of ensuring the reliability of large-scale software systems, which are crucial for various applications such as online services and data processing. The project focuses on developing cost-effective and intelligent methods for monitoring these systems to anticipate and prevent runtime incidents, such as crashes or errors, which can […]

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 […]

Given global competitiveness for quality research articulated through scholarly publication, this study examines (I) the challenges faced by Mexican novice scholars in writing for scholarly publication in academic journals, and (2) the ways in which these novice scholars are supported in Mexican academic context and by expert members of their academic community in communicating their […]