The research aims to develop a new computer algorithm for automating simulations of complex power systems when simulations are used for design. The new algorithm will be able to find multiple optimal solutions, which will give the designer the ability to scrutinize and select the most suited option. Additionally the algorithm will be parallel in […]

The research focuses on designing and optimizing hydrogen supply chains (HSC), from production to consumption, to enhance the flexibility, efficiency, and cost-effectiveness, contributing to the global energy transition towards renewable sources. The project will develop and refine mathematical models, validate these models with real-life data, and integrate sustainability metrics to ensure environmental and economic viability. […]

I am transforming the smartphone into a portable lab. The goal is to unlock a wealth of movement data that can be used for health and performance metrics. My business aims to democratize access to lab-quality movement data, making it accessible from the comfort of your home. This work will contribute to the overall field […]

Water distribution networks, which provide clients drinking water, are prone to leaks. Leaks are a critical area of concern, as they cost billions of dollars each year, and can allow water-born pathogens into drinking water, which is a public health concern. Current leak detection methods are very labor intensive, as many of them require experienced […]

The project concentrates on MEMS (Micro-Electro-Mechanical Systems) fabrication process optimization. MEMS devices comprise suspended structures, such as cantilevers, gyros, membranes, etc., which are created by removing sacrificial material around them in order to have these structures released to perform their designated function. Currently, these structures are being released with the use of either dry etch […]

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

HPN is building a hyperautomation platform using data science, artificial intelligence (AI), and machine learning (ML) techniques to hyperscale its unique business model. The expected outcomes from this platform will be scale up of revenue internationally along with improved operating margins; enhanced member and customer experience through self-service and AI concierge services; and innovation in […]

Neural networks support software engineers in their tasks and activities. For example, in the automotive domain, neural networks support automotive software by detecting other vehicles and their distance from the ego vehicle. Unlike other software systems that the engineers manually program, the neural network’s behavior is defined by its training data. Since the behavior of […]

The most employed treatment for decayed teeth is restoration with resin-based filling materials. Longevity of resin fillings is considered low, around 7-10 years. Replacement of resin fillings accounts for 75% of all procedures performed in general practice, of which 60% are due to failures at tooth-filling interface. This happens because during bonding procedure the tooth […]

Carbon Capture and Storage (CCS) is essential for reducing greenhouse gas emissions, but traditional metal pipelines used to transport CO2 are prone to corrosion, especially in environments with impurities like H2S and SO?. This project aims to create advanced plastic-based pipeline systems that are more durable and cost-effective. We will develop multi-layered polymer designs combining […]

The ReCover Project is advancing deep energy retrofits for commercial, institutional, and multi-unit residential buildings in Atlantic Canada. By addressing critical gaps in building data, this project aims to support policymakers, researchers, and industry leaders with better tools for decision-making. At its core, the project will develop a comprehensive building database that integrates information from […]

Airlines take the extra effort required to figure out what is the best route that their aircrafts should take so as to minimize additional costs from non-revenue flights or idle time. One way to di this is to first generate large numbers of feasible routes and then assign flights to a subset of them so […]