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Smart digital representation and reconstruction in material science with AI and computer vision
Project Overview This project aims to integrate computer vision and artificial intelligence into materials science, utilizing deep learning and other AI methodologies to enable efficient and cost-effective digital characterization and reconstruction of heterogeneous materials. By advancing the application of emerging AI technologies, this research seeks to accelerate the development of materials informatics and enhance digital…
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Blockchain technologies for pharmaceutical supply chains
Project Overview Pharmaceutical supply chains involve complex characteristics and intricate data flow processes, including multiple stakeholders. These complexities give rise to numerous challenges concerning data integration and flow. This research proposes to address these challenges by combining two emerging technologies to suggest unique solutions. Based on the findings of our recent survey, it has been…
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Predictive Analytics in Steelmaking
Project Overview Industry 4.0 represents a paradigm shift in manufacturing that leverages technologies such as Internet of Things (IoT), Artificial Intelligence (AI), big data and many others to create smart, automated and interconnected systems. Steelmaking is one example of a domain undergoing transformation. Steelmaking constitutes the many processes that are used to create the strong…
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Hybrid AI for optimisation in industry
Project Overview Hybrid AI for supply chain optimization in Industry 4.0 Supply chains (SC) are increasingly challenged by uncertainty and risks in this high-tech era. In this context, to effectively identify and mitigate SC-related risks, data, information, and knowledge from different sources must be smartly exploited. This research project focuses on optimizing supply chains through…
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Explicit and Implicit Finite Element Techniques
Project Overview Explicit and Implicit Finite Element Techniques Applied to Mechanical and Coupled Geomechanical Problems October 2018-March 2022 In this work we determine the classes of problems within computational geomechanics where the staggered or fully implicit monolithic coupling schemes are most effective. These techniques can be applied in industries such as civil engineering and the energy-based sector, in particular the oil and gas industry.…
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Numerical Modelling of Concrete Rheology in Deep Foundation Constructions
Project Overview Defects such as mattressing, inclusions, blockage and bleed caused by insufficient concrete flow or sub-par concrete quality within deep foundation constructions lead to costly delays that impact all project stakeholders. This research aims to use multiphase flow modelling to further our understanding of the mechanisms that impact concrete flow within deep foundations like…
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AEGIS
Project Overview The operational scheme of a drone named SALUS in search and rescue (SAR) operations. The project focuses on the importance of feedback from the drone to the user or control station, enabling a comprehensive understanding of the situation and aiding in decision-making. Cloud connectivity is an essential component for seamless communication. AEGIS uses…
