331 - Network and Web Security - 2025

Sergio Maffeis. Sergio is a senior lecturer in Computer Security at Imperial, where he leads the Security and Machine Learning Lab. He received his PhD from Imperial and his MSc from University of Pisa, Italy. Maffeis' research interests include security, machine learning, formal methods, and programming languages. You can find out more from his home page.

Almuthanna Alageel. Almuthanna is a Honorary Research Associate at Imperial College London, 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. Abdullah is a PhD student at Imperial College London 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.

Eman Maali. Eman is a PhD student at Imperial College London under the supervision of Prof. McCann. Eman's Ph.D. focus is IoT Security, in which she is developing an anomaly detector for IoT networks. In 2017, Eman completed her MSc in Electromagnetic Sensor Networks at the University of Birmingham. The focus of the Master's was on electromagnetic, antennas, propagation, computer communications networks, and RF and microwave engineering. Moreover, Eman completed her BA in Computer Systems Engineering from Birzeit University in Palestine.

Fahad Alotaibi. Fahad is a PhD student at Imperial College London 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. Myles is a PhD student at Imperial College London 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.