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industry? The PhD candidate will pursue the following overall objectives: Contribute to the definition and vision of smart grid reliability Develop and evaluate modern methods for power system protection and
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electrical power, enabling smart sensors to operate without batteries. You will explore novel capacitor-based rectifier architectures, adaptive impedance-matching algorithms, and on-chip protection mechanisms
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supply options like storage (electricity, …), their value with respect to the system, residential and industrial suppliers, their spatial and temporal dimension, its alignment with grid constraints as
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detection, protection, and communication within electronic power distribution networks, such as microgrids and smart grids. Our group boasts a dynamic team of experienced researchers and engineers
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industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is
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longer sustainable. This project pioneers a new paradigm: we design smart, low-power digital AI co-processors that learn and correct the imperfections of their analog counterparts in real-time. As a PhD
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Vulnerability Detection of Smart Grids with a Specific Focus on Generative Adversarial Networks (GAN) Attacks Primary supervisors: Professor Damminda Alahakoon & Dr Shalinka Jayatilleke Other supervisors
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industry? The PhD candidate will pursue the following overall objectives: Contribute to the definition and vision of smart grid reliability Develop and evaluate modern methods for power system protection and
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solutions that extend the operational life of devices and reduce environmental impact, applicable to areas like smart grids, electric vehicles, and portable electronics. Research Focus Areas: Power-Aware