Sergio Maffeis (Lab director) is a senior lecturer (associate professor) in Computer Security at Imperial. He received his Ph.D. from Imperial and his MSc from University of Pisa, Italy. His research interests include security, machine learning, formal methods, and programming languages. You can find out more from his home page.

Giulio Zizzo is Research Scientist at IBM Research Dublin, working on Machine Learning. He obtained his PhD from Imperial, working on securit of machine learning, under the supervision of Prof. Hankin and Dr. Maffeis.

Mohamad Hazim is a Senior Lecturer at the University of Malaya. He obtained his PhD from Imperial under the supervision of Dr. Maffeis, working on source code vulnerability detection using deep neural networks. He received his MCompSc from the University of Malaya, Malaysia. His research interests include computer security and artificial intelligence. Hazim is currently working on software vulnerability detection using machine learning.

Vincenzo Arceri is an Assistant Professor (non-tenure) in the Department of Mathematical, Physical, and Computer Sciences at the University of Parma. He obtained his PhD in 2020 from University of Verona, working on static analysis for self-modifying programs. His research interests include static program analysis and verification, software security, and analysis and verification of LLM-generated programs. You can find out more from his home page.

Almuthanna Alageel is an Assistant Professor at KACST, and a Honorary Research Associate at Imperial, where he obtained his PhD under the supervision of Dr. Maffeis. He has been working for KACST in cybersecurity since 2009 in addition to providing consultancy services for several organisations. He holds several professional certifications including CISSP, CISM, CRISC and PMP. He received his MSc in Computer Science from the University of Colorado at Denver, and his BSc in Computer Engineering from King Saud University. Almuthanna is working on detecting evasive APT campaigns.

Adbdullah Adlaihan is a PhD student at Imperial under the supervision of Dr. Maffeis. He received his MSc in computer science from Georgia Institute of Technology, and his BSc in computer science from King Saud University. Abdullah's focus is on utilizing Large Language Models (LLMs) for systems security.

Fahad Alotaibi is a PhD student at Imperial under the supervision of Dr. Maffeis. He received his MSc from The University of York (UK) in Cyber Security, and his BCs from Shaqra University (KSA) in Computer Science. Fahad’ research is focused on robusting deep learning-based security applications againsts evasion attacks and concept drift. Fahad is also interested in other areas such as digital forensics and ransomware prevention.

Myles Foley is a PhD student at Imperial under the supervision of Dr. Maffeis. He received his MEng from University College London in Electronic Engineering with Computer Science, earning the ‘Outstanding MEng Graduating Student’ prize. Myles’ research is focused at novel - and exciting - ways of applying reinforcement learning to problems in cyber security.

Kate Highnam is a PhD student at Imperial under the supervision of Dr. Maffeis and Prof. Jennings. She received her bachelors from the University of Virginia in Computer Science with an undergraduate thesis on automated software patches within drones. After her role as a Cyber Threat Huntress, her research is now focused on domain adaptation for machine learning models in intrusion detection.