Research Interests
Open to PhD applications in the field of
-
Physical Unclonable Functions (PUFs)
-
Approximate computing for hardware security
-
Hardware security techniques for the Internet of Things (IoT)
-
Machine learning attack resistant hardware security solutions
Current Research Opportunities
- Security Vulnerabilities and Protection in Approximate Computing
- Machine learning attack resistant hardware security for IoT
- Security Vulnerabilities and Protection in Approximate Computing
- Machine learning attack resistant hardware security for IoT
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.
Discover More
- Faculty of Engineering and Physical Science
- School of Electronics, Electrical Engineering and Computer Science