Glacial Influence on Groundwater Dynamics: A Case Study in Guelph, Ontario

The proposed project aims to enhance groundwater resource management in previously glaciated areas, focusing on a case study from Guelph, Ontario. Groundwater plays a vital role in various applications, including drinking water and industrial processes, necessitating a deep comprehension of subsurface dynamics. However, creating accurate geological models for groundwater modeling and contaminant remediation remains challenging, […]

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Experimental and modeling approaches to optimize repetitive task analysis in the automotive industry

Despite being a significant predictor of musculoskeletal injury, mitigating muscle fatigue in automotive assembly remains a significant challenge. Administrative controls, such as job rotation and work relief, are often employed to reduce fatigue exposures, but little guidance is available on their optimal use-cases. The first objective of this project is to evaluate different relief/rotation schedules […]

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Energy efficient iGrow air circulation system for raspberry cultivation

Despite being the world’s third-largest raspberry importer, Canada faces challenges like high local wholesale prices, erratic climate, pest issues, and labor costs. This project offers a breakthrough solution—an innovative, scalable indoor farm—to address these issues. The goal is to create a cutting-edge platform that overcomes horticultural challenges, empowers future growers, and transforms Canadian indoor farming […]

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Sequent AI – Vertical Strategy

Sequent AI is a consolidation of technology companies across Canada and the U.S. The Sequent AI team is looking to develop a verticalized strategy for IT solutions across the networking, infrastructure, cloud and managed services spaces. This project will allow us to develop key metrics and strategy to bolster our current initiatives

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Medical Device Utilizing Saliva for Concussion Screening

The project involves developing a medical device to detect the clinically validated concussion biomarker, S100B. The intern’s work focuses on creating a device that can identify a specific threshold of this biomarker, crucial for identifying concussion risk. This research offers HeadFirst a unique opportunity to understand the potential of S100B in saliva for concussion diagnosis, […]

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Semantic 3D mapping and localization of intelligent drones in indoor environments

The objective of this project is to develop intelligent algorithms and machine learning models to enable semantic 3D mapping and localization of intelligent drones, allowing them to autonomously navigate complex indoor environments. The project will collaborate with SOTI Aerospace to establish a research and development team focused on advancing aerial technology for the next generation. […]

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