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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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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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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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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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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