Prototype for Critical Metals Liquid-Liquid Extraction

Hatch Ltd. is a global multidisciplinary consultancy company that provides engineering and business knowledge within the metals, energy and infrastructure sectors. The project proposes constructing a scaled-down, modular proof-of-concept prototype enabling extensive testing and validation studies for liquid-liquid extraction of critical minerals and metals. The design and construction of a custom-made mixer and settler unit […]

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Parallel intelligent multiple-run facility for optimal design of power systems

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 […]

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Hydrogen supply chain design

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. […]

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L2M – Video based movement analysis

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 […]

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LuCID Dryer Process Optimization

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 […]

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HPN Hyperautomation Platform

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 […]

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Debugging ML via Feature-guided Analysis: from Neuron-based to Ensembles-based Rules

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 […]

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Dentin Collagen Methacrylation for Tooth-Restoration Bonding

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 […]

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Advanced Multilayer Polymer Systems for Carbon Capture Pipelines: Data-Driven Barrier and Mechanical Performance Optimization

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 […]

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Atlantic Canada Building Stock Analysis

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 […]

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