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Found 2 matching student topics

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Convergence of virtual reality (VR) and digital twin technologies to enhance energy resilience

A convergence of virtual reality (VR) and digital twin technologies can provide multifaceted benefits like digital learning processes, generating a collaborative ecosystem between technological and human assets (Martínez-Gutiérrez et al., 2023). When digital twins are adopted, they can provide sustainable energy solutions, such as energy efficiency optimisation or renewable energy integration (Coelho et al., 2024).In this project we investigate the adoption of digital twins and how this can drive the sustainable energy transition in VR environments from a cognitive computing …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems
Research centre(s)
Centre for Data Science

Investigating the application of sustainable AI practices in construction

The construction industry plays a vital role in the global economy and there is a growing interest in utilising artificial intelligence (AI) to improve its productivity and efficiency. Despite the industry's significant contribution to the economy, it has faced challenges such as large cost overruns, extended schedules, and quality concerns. Nevertheless, AI is making significant strides to remove these issues by revolutionising various aspects of the construction industry. This is evident from enhancing project planning and design to improving construction …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

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