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for innovative solutions to improve worker well-being. The project proposes a novel, integrated framework leveraging virtual reality (VR), the internet of things (IoT), and machine learning (ML). Workers will
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, thermal, electromagnetic or kinetic), are critical for the sustainable operation of wireless IoT devices and remote sensors. The world can reduce reliance on batteries and fossil-fuel-derived power if more
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(IoT) device ecosystem. Despite the technology’s potential, however, flexible electronics face numerous technology challenges. This PhD project aims to tackle one of the most critical technology
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) has been conducting pioneering research across several areas of cyber security, from trustworthy IoT to XR cyber security and protection against disinformation in social media. Thanks to these successes
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Project details Globally, we are facing a huge explosion in data creation volume. With technological advancements like IoT and Artificial Intelligence, organisations are gathering vast swathes
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dynamic and uncertain environments [1]. A key application of such systems is in the Internet of Things (IoT), where networked sensors and actuators enable real-time adaptation to environmental changes
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its use of AI-driven predictive models that analyse real-time data from IoT-enabled devices to forecast patient outcomes, such as the risk of sepsis from urinary tract infections. This proactive