Feargus Pendlebury

Feargus Pendlebury is a Postgraduate Research Student at the Centre for Doctoral Training in Cyber Security for the Everyday at Royal Holloway. He is affiliated with the Systems Security Research Lab and focuses on integrating machine learning techniques with program analysis to address security challenges in mobile systems, particularly on the Android operating system.

• Education: First Class Honours Degree in Computer Science with a specialism in Information Security (2016), Royal Holloway.
• Industry Experience: Former Software Security Group Lead at a leading financial data automation firm.

His research explores malware detection, concept drift, and network intrusion detection, as evidenced by his contributions to top-tier conferences like IEEE Symposium on Security and Privacy, USENIX Security Symposium, and ACM Workshop on Artificial Intelligence and Security. Key themes in his work include adaptive security models, drift robustness, and hostile environment defenses.

Collaborations span international boundaries, with external engagements in cybersecurity research. While no formal awards or teaching roles are mentioned, his academic output includes doctoral theses and unpublished research on machine learning-driven security solutions.