L2M- GHGSensing product market readiness plan

This project supports the development of a market readiness plan for the GHGSensing product. The project’s outcome will help the company better understand marketing barriers and develop more realistic product launch strategies. GHGSensing aims to provide a cost-effective solution for large-scale emissions monitoring, enabling farmers to track and reduce their environmental impact more effectively. By […]

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L2M – Advancing Extracellular Vesicles Isolation via Capillary Microfluidics

This project focuses on developing an innovative passive capillary microfluidic platform for the isolation of extracellular vesicles (EVs), which are essential for diagnostic and therapeutic applications. The goal is to create a more efficient, scalable, and cost-effective method of EV isolation compared to traditional techniques such as ultracentrifugation. This technology will allow for high-purity EV […]

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L2M – Revolutionizing Cycling Performance and Preventing Injuries with Real-Time AI Biomechanical Feedback through CycloNova

There is a lack of technology to optimize performance and prevent injuries in cyclists. This is a potential reason leading to an injury rate of 3-50 per 1000 persons. Our solution leverages AI to deliver real-time, accurate biomechanical feedback to riders. By providing actionable insights, it has the potential to reduce injury rates and significantly […]

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L2M – An AI-Based Cycling Device for Lower Limb Rehabilitation

Pedaling exercises using stationary cycling ergometers are a widely used rehabilitation method for lower limb injury recovery. However, current cycling devices do not allow for individualized training of each leg based on its specific load-carrying capacity. APAD is novel cycling ergometer that will address this gap by designing and developing a smart cycling ergometer capable […]

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Structural assessment of Eastern Canada’s transitional unreinforced masonry buildings: case study analysis

This research project will contribute to the preservation of the existing building stock and mitigate potential seismic risks by developing simplified numerical models to contribute to the seismic assessment of local unreinforced masonry (URM) buildings. Old URM structures are a prominent building type across Eastern Canada, contributing to the rich architectural heritage and cultural fabric […]

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L2M – A high-sensitivity, field-portable laser-based probe for soil monitoring

We are developing a portable soil analysis system based on laser-induced breakdown spectroscopy (LIBS). During LIBS, an intense laser pulse generates plasma on the soil surface, and the emission from this plasma serves as a fingerprint of the soil’s elemental composition. The signal variability caused by the heterogeneous soils and challenges of quantifying complex composition […]

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L2M-Unobtrusive photodetectors and imagers based on transparent semiconductive nanotube membranes

The proposed project focuses on developing unobstructive photodetectors and imagers technology using advanced semiconductors for discreet surveillance applications. By leveraging expertise in sensor technology, the project aims to create inconspicuous imaging solutions integrated into everyday items, addressing privacy concerns associated with traditional photodetectors. The partner organization stands to benefit from the innovative and ethically responsible […]

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Photocatalytic degradation of textile dye wastewater using solar energy

Dye wastewaters from textile industries is toxic and often causes serious environmental damage. In this study, an eco-friendly photocatalytic degradtion process which involves the use of a Ag-ZnO catalyst and solar energy will be used to degrade toxic dyes. Therefore, the main objectives of my reserch over the three month period will be to synthesize […]

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Prompt Engineering for AI-Driven Polymer Materials Data Retrieval

This project aims to tackle a critical challenge in materials science: the efficient extraction of valuable data from a vast array of sources, including scientific literature, patents, and technical reports. By integrating advanced AI language models and tailored prompt engineering, we intend to create an intelligent system that streamlines the process of retrieving polymer-related information. […]

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A new low cost device for skin monitoring

This project is aimed to develop an inexpensive device for general public in monitoring skin healthcare condition. The device will be able to take magnified images of skin in order to observe more detailed skin conditions. A low cost version of the device will be able to attach to a smartphone and use the built-in […]

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Integrating Optical and RADARSAT-2 Imagery for Enhanced Lake Ice Monitoring

This project aims to improve how lake ice is monitored in Canada by combining images from optical and RADARSAT-2 satellites with advanced data analysis techniques. Monitoring lake ice is important because it reflects climate changes, which affect both local and global environments. The partner company, ApoSys, specializes in using satellite technology for environmental monitoring, but […]

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!Drop impact of non-Newtonian fluids!!!

Le projet portera sur l’étude de l’impact de goutte de fluides complexe qui a de nombreuses applications industrielles ou en géophysique. Nous utiliserons notamment des fluides à seuils qui ont la particularité de se comporter comme des solides lorsqu’il sont faiblement sollicités et comme des fluides quand on a dépassé une contrainte limite dite contrainte […]

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