THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

La recharge de batterie ou encore l’alimentation continue d’appareils/engins sans fils et éloignés de toute source électrique ou solaire, comme dans le cas d’applications dans le domaine spatial, sont de véritables défis. L’usage couplé d’un émetteur laser et d’un photo-transducteur (PPC) pour transférer de la puissance sur de longues distances est une solution potentielle intéressante. […]

The project determines the limitation boundaries of single sensor measurements by assessing the accuracy of a rocket’s kinematic parameters—such as speed, turn rate, and acceleration—based on the precision of individual sensor measurements. This involves evaluating whether these parameters can be accurately measured or estimated using each available sensor while considering the rocket’s dynamic behavior. Additionally, […]

Dry Storage Containers are used by Ontario Power Generation (OPG) to store spent nuclear fuel that occurs due to power generation. These containers require inspection to ensure the welded seam sealing the lid to the container base contains no defects. Currently, this time-consuming process limits the production of these containers at a time when energy […]

Parkinson’s disease (PD) is a common brain disorder affecting movement, with one of its challenging symptoms being freezing of gait (FOG), where a person temporarily feels as though their feet are glued to the ground. Current treatments often fail to help with FOG, highlighting the need for more research. This study uses advanced MRI techniques […]

Shabodi designs software platforms to empower developers, engineers, and businesses to create and deploy high-performing, network-aware applications. This means that developers can create applications that are not confined to specific platforms or networks. One of the challenges Shabodi faces is the variety of APIs (Application Programming Interfaces) used by different software applications. An API is […]

This project aims to develop an interactive platform with AI capabilities to facilitate the creation of complex simulation labs for STEM education. The significance lies in enabling educators to design and deploy interactive lab environments efficiently, enhancing student engagement and understanding in STEM disciplines. The objectives include exploring generative AI models for lab creation, integrating […]

As you’re walking, suddenly, your feet become glued to the floor, unable to move. This is what people with Parkinson’s Disease (PD) often experience, a symptom called Freezing of Gait (FOG). Despite how common it is and its impact on daily life, finding effective treatments has been challenging because we don’t fully understand why it […]

Hyperspectral imaging is among the most promising earth observation technologies today. Hyperspectral Imaging (HSI) from satellites and uncrewed aerial systems is now feasible and enables the monitoring of new earth systems at unprecedented spatio-temporal scales. Applications of HSI include agriculture, natural resources and environmental monitoring, to name a few. Simulation of the hyperspectral imaging process […]

The project relates to a key electro-optic component used in optical modems that route internet traffic between cities, countries, and continents. These high-bandwidth long-haul systems are also being evaluated to solve the problem of moving data between data centers and even within data centers for high-bandwidth applications such as cloud services and artificial intelligence. The […]

The primary aim of this project is to engage with the Canadian startup ecosystem by using advanced technologies to streamline the process of connecting startups with essential funding and resources for global expansion. The project focuses on developing AI tools to efficiently evaluate and filter startups for Continuum Health Ventures (CHV), reducing the time and […]

The proposed research project aims to create an AI-based automatic system for monitoring and characterizing the condition of cutting tools by integrating robotic systems and smart cameras. This innovative approach addresses the limitations of traditional tool wear monitoring methods, which often lead to unnecessary costs and machine downtime. By developing advanced machine learning algorithms and […]