In this project,will explore how to turn waste from cocoa production, specifically cocoa pod husks, into useful products. We will study different ways these husks can be used, such as turning them into a source of clean energy, a component for skincare products, or even as a supplement in animal feed. Our aim is to […]

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Wildfires continue to pose severe threats to ecological systems, communities, and economies worldwide. Early and accurate prediction of wildfire occurrences is crucial for effective preparedness and response strategies. This study investigates the application of machine learning methods to predict global wildfire events, utilizing the SeasFire Cubes dataset — a scientific datacube designed explicitly for seasonal […]

La possibilité forestière vise à déterminer la quantité de bois exploitable tout en assurant la pérennité des écosystèmes forestiers et de l’industrie forestière. Néanmoins, la méthode actuellement utilisée pour déterminer l’âge des peuplements sous-estime l’âge réel dans l’établissement des courbes d’évolution du volume à l’échelle des peuplements. Cette erreur augmente en fonction de l’âge et […]

This project seeks to improve the rate of CO2 removal from the exhaust gases of industrial processes in order to help solve the issues of global warming and climate change. Various carbon abatement techniques have been developed and used. The most used technique is called “carbon capture”. These technologies come with their own challenges such […]

This research project aims to create a model to understand how nature benefits humans through services like pollination, food production, water supply, and soil health in the agricultural landscapes of the Canadian prairies. Using advanced technology, the project will map these services and study their complex relationships, as well as potential trade-offs and collaborations. The […]

In this project, a microfluidic sensor will be developed for bacteria detection in water. The microfluidic device enables in-situ synthesis of molecularly imprinted polymer (MIP) membranes with bacteria imprinted cavities. The sensor works based on bounding the target bacteria to the MIP membrane, thereby altering the electrochemical signal which will be measured using in-situ fabricated […]

The Intern will do research to identify possible existing and new gases to replace harmful gases used in refrigeration, automotive air conditioning and other similar industrial and consumer uses that are known to deplete the ozone layer or are ‘super-greenhouse gases’. Through literature searches and primary interviews with manufacturers, the student will prepare an analysis […]

Under the MADAME pilot project, collaborators from more than 30 European countries have collected samples of moss to evaluate their use as a biomonitor for the atmospheric deposition of microplastics. Under the Globalink Research Award, Mehriban Jafarova (PhD Candidate, University of Siena) will visit Trent University to collaborate with Prof. Julian Aherne on the extraction […]

The proposed project aims to develop Easy Receipt’s software by integrating a receipt NFC transfer feature through the expertise of the intern Maryam. By leveraging her skills and utilizing the Scaled Agile Framework methodology, the project aims to improve the Easy Receipt application, leading to streamlined receipt management for users and increased brand visibility. This […]

This project aims at developing a coupled enzyme assay strategy that will allow us to engineer and screen engineered PETase enzymes that are useful in degrading otherwise non-biodegradable plastics. The proposed method will be faster and robust compared to existing assay methods. PolyTide Inc. aims to apply this technique towards engineering PETase enzymes it is […]

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. […]