Analyzing and Detecting Runway Incursions Using High-Resolution ADS-B and Incident Databases

This study focuses on enhancing aviation safety by detecting and analyzing runway incursions—unauthorized entries of aircraft, vehicles, or personnel onto active runways—using high-resolution ADS-B data from Flightradar24 (FR24). Despite existing protocols, such incursions remain a significant threat to air traffic operations. The project aims to develop and validate algorithms capable of identifying critical events, such […]

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From Agents to Teams: Optimizing the Creation of LLM-based Multi-Agent Systems

As multi-agent systems become more complex, improving how Large Language Model (LLM)-based agents work together is increasingly important. This research focuses on creating reusable design patterns and adaptive coordination strategies to boost collaboration and system performance. Blend360 is an AI service provider that builds advanced solutions for clients in sectors like finance, healthcare, and consumer […]

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Modelling pathways of dredged sediment placed on Sturgeon Bank

Sturgeon Bank is a Wildlife Management Area within the unceded traditional territories of the Coast Salish peoples, and west of the City of Richmond, British Columbia. Sturgeon Bank is primarily comprised of intertidal marsh, mud flats and open water, and provides several ecological and coastal risk mitigation benefits. However, monitoring indicates that Sturgeon Bank’s salt […]

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Fault-Seal Analysis at Aquistore

Faulting might be affecting the flow of injected CO2 into the subsurface at the Aquistore Carbon Capture and Storage facility in southeastern Saskatchewan. 3D seismic data indicate that faulting affects the Deadwood Sandstone injection target approximately 100 m to the west of the injection well. The seismic data cannot however image all the structural complexity […]

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Knowledge Graph based AI development

Knowledge graphs are a means of structuring semantic knowledge that can be used to increase AI reliability. In our applications, Large Language Model (LLM) chatbots are not on their own able to meet 100% accuracy goals for our scenarios, and we use the knowledge graph to reflectively validate answers before presenting them to the user. […]

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Retracer la trajectoire organisationnelle de l’alliance Transition en commun

Ce projet de recherche propose une analyse de la trajectoire de Transition en Commun (TeC), une alliance intersectorielle montréalaise qui concentre ses efforts à la transition socio-écologique. En tant qu’initiative urbaine qui mobilise un large éventail d’acteurs TeC constitue un espace privilégié pour mieux comprendre les modalités d’émergence, de structuration et d’engagement des collectifs dans […]

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Application of Novel DNA vectors in CNS gene and cell therapy

This project will test how well different DNA-based therapies work in the brain and body using a mouse model. Mice will receive either a high or low dose of the therapy, and their response will be tracked through imaging, blood tests, and tissue analysis. The goal is to measure how much of the DNA reaches […]

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Myotis lucifugus and Myotis yumanensis mixed maternity roost monitoring methods

This project seeks to develop a non-invasive method, which does not require direct wildlife capture and handling, for monitoring the endangered little brown myotis and a co-occurring species, Yuma myotis, at shared summer maternity roost sites in western North America. A method is urgently needed so that potential species-specific impacts to these two bats from […]

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Advancing a Learning Health System for Mood Disorders

Many patients with mood disorders, which include major depression and bipolar disorder, continue to experience symptoms even after receiving treatment. Traditional research methods have helped improve care but often don’t reflect the realities of clinical practice, which slows progress in applying research to improve services. This project aims to support St. Joseph’s Healthcare Hamilton (SJHH) […]

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Juniper Genomics Social Media Monitoring and Strategy Development internship

Juniper Genomics is a forward-thinking company that uses advanced genetic technology to help people going through IVF (in vitro fertilization) make more informed decisions and improve their chances of having a successful pregnancy. While their science is cutting-edge, they currently lack a strong digital presence, especially on social media. This makes it hard for potential […]

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Investigation on the Enhancement of Design and Manufacturing Processes through the Integration of Large Language Models and Vision Models

In the world of design and manufacturing, there is always a need to supply certain goods (parts, assemblies, materials, etc.) from a manufacturer to a buyer. In most cases, there is a wide variety of procurement options, and choosing the right supply is a complicated process that requires taking multiple factors into account. The optimal […]

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