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The successful applicant will conduct research to design and develop novel machine/deep learning based trust technologies for securing IoT services/devices. The successful applicant will conduct
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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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, are at the forefront of this evolution. These technologies enable intelligent functionalities in edge devices, facilitating applications in autonomous vehicles, robotics, and Internet of Things (IoT) systems
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analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT
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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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that allow the development of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and the computing continuum eras. Our vision is to pioneer
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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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based integration of software-defined CPS (Cyber-Physical Systems) and IoT devices. -Replication and software updates during runtime for mission-critical devices and systems. -Model based engineering
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is focused on People-Centred Design (PCD) for Sustainable Construction. Your research will directly contribute to developing AI-driven tools and IoT-enabled systems that make buildings more energy