Ekstera has developed a new Stirling engine capable of converting sustainable heat sources into power at high efficiency. Their patented design requires new components with unique requirements that are complicated to manufacture. Dr. Hosseini is the director of the Machining Research Lab at Ontario Tech University, with expertise in advanced additive and subtractive manufacturing. This […]

Methane is a GHG that is at least 28 times more potent than CO2 and a significant contributor to ground level ozone (which impacts health and agriculture). Inversion Point Technologies will work with the intern to simulate methane removal from the air through addition of natural oxidizing agent in hydrogen peroxide. The intern will work […]

Mon projet de recherche vise à synthétiser des composites à base de nanoparticules métalliques et à réaliser des caractérisations électrochimiques (LSV, CV, CP, etc.), chimiques et physiques (TEM, XRD, XPS, etc.). L’étude du comportement électrochimique de ces composites me permettra d’approfondir ma compréhension de leur activité catalytique et de leur stabilité. De plus, les techniques […]

Exterra Solutions Carbone développe un procédé permettant d’extraire les MCS à partir résidus miniers et à la fois y stocker le CO2. Cette technologie innovante permettra au Québec de produire du sulfate de nickel et du sulfate de cobalt de qualité batterie pour les VE de façon carboneutre. Ce projet de recherche collaboratif entre Exterra […]

This research project aims to make the process of moving cargo from trains to shipping containers more efficient. We’re going to create smart plans and ways to organize this process better, making sure the cargo is packed into containers in the best way possible. By doing this, we aim to reduce the time it takes […]

The proposed internship, developed between the University of Waterloo and Philip Beesley Architect Inc. (PBAI), will develop and validate prototypes for novel expressive interactive sculpture environments. The work incorporates human perceptual studies and machine learning techniques for generating models for perception and generation of affective expression within experimental architecture and installations, and systematically deriving the […]

This research focuses on recycling polyamides, especially polyamide 11 (PA11). Our goal is to study the effect of recycling processes on the thermal properties of PA11 by different techniques using differential scanning calorimetry (DSC). This research project has the potential to set up new possibilities for improved methods of recycling by providing critical insights into […]

Acute myocardial infarction (AMI) is a life-threatening medical condition, and it remains the primary reason for premature death (persons aged 25–64) worldwide. Therefore, early screening of cardiac biomarkers is critically important for improving survival chances. The existing methods for detecting cardiac biomarkers are multi-step approaches and require laboratory tests, which have higher test times, are […]

In response to the growing complexity and volume of legal contracts, there is a pressing need for innovative solutions to enhance efficiency and accuracy in drafting processes. This research proposal pivots towards automating language models to summarize existing agreements, with a specific emphasis on data cleansing and summarization of contracts. The proposed research explores the […]

Ce projet vise à développer une voie éco-responsable de production de Nb et Ta pour leur application dans les produits de hautes technologies, y compris les batteries pour VE et hydrogène vert. Ce projet de recherche se concentre sur la production d’oxydes de niobium et de tantale à partir du gisement du projet Crevier qui […]

Ce projet représente le développement d’une technologie de séparation des gaz par membrane. Cette technologie nouvelle sera basée sur le concept de membranes à matrices mixtes qui a fait l’objet de travaux récents à l’Université Laval. Ces travaux portaient sur la conception de mélanges de polymère avec des particules inorganiques et organiques capables de séparer […]

This study proposes a new signal optimization technique that can help reduce crashes at intersections. Using data from sensors installed at the intersections, vehicle trajectories can be used to identify near-misses that would provide insight into crash-risk. By quantifying the crash-risk using extreme value models, a crash-risk metric is derived that can be used to […]