Research Interests
Open to PhD applications in the field of
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Physical Unclonable Functions (PUFs)
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Approximate computing for hardware security
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Hardware security techniques for the Internet of Things (IoT)
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Machine learning attack resistant hardware security solutions
Public outreach & key achievements
Her research into physical unclonable functions (PUFs) has been utilised as part of a security architecture for electronic vehicle (EV) charging systems, licensed by LG-CNS, South Korea, and was also licensed for evaluation by a UK defence company. Her team was the overall winner of INVENT 2015, a competition to accelerate the commercialisation of innovative ideas. She has significant international research collaboration experiences, e.g. EU FP7 Sparks project with Fraunhofer, Germany and KeyHAS project with ETRI, South Korea.