Me in a Nutshell
I am a Lecturer in the Department of Computing at Najran University, an Honorary Research Associate at Imperial College London, and a co-founder of Sandgate.
I hold a PhD in Computing from Imperial College London, supervised by Dr. Sergio Maffeis. My research focuses on making deep learning–based Network Intrusion Detection Systems (NIDS) reliable under distribution shift and adversarial data conditions. In particular, I work on:
- Adaptive one-class anomaly detection to handle evolving normal (benign) network behavior.
- Continual multi-class intrusion detection to incorporate new attack types as they emerge over time.
- Robust learning under label noise, including resilience to label-flipping attacks.
- Agentic AI for security, integrating agents into security pipelines to automate analysis and improve decision-making.
By adaptation, I mean detecting change and updating models with minimal labeling and operational cost.
Updates
- Jul 2026 We are building Sandgate, an AI-powered document analysis platform built for the GCC.
- Dec 2025 I passed my viva and was awarded a PhD in AI and Security.
- Sep 2025 Clouseau is accepted at ACSAC 2025.
- Aug 2025 Randomness is accepted at CCS 2025 (Poster).
- Jul 2025 SLB is accepted at CCS 2025.
- Jul 2025 Lucy Steele's thesis was awarded a Distinction.
- Nov 2024 Euan Goodbrand's thesis won The Corporate Partnership Programme Individual Project Prize in Computing Science.
- Nov 2024 Euan Goodbrand's thesis earned the designation of Distinguished Thesis.
- Jul 2024 YuNan Peng's thesis was awarded a Distinction.
- Jun 2024 Mateen is accepted at RAID 2024.
- Apr 2024 Rasd is accepted at IFIP SEC 2024.
Publications
Randomness Unmasked: Towards Reproducible and Fair Evaluation of Shift-Aware Deep Learning NIDS
SLB: Deep Learning from Imperfectly Labeled Malware Data
Mateen: Adaptive Ensemble Learning for Network Anomaly Detection
Rasd: Semantic Shift Detection and Adaptation for Network Intrusion
Supervision
I co-supervised the following students alongside Dr. Sergio Maffeis.
2026Dmytro Zhuk – Internship (Data Science MSc @ University of Vienna)
Project: Toward Reliable Labelling of Malware Datasets
2025Lucy Steele – MEng degree in Computing with Distinction from ICL.
Project: Towards Fair and Reproducible Evaluation of Deep Learning-Based Security Solutions
2024Euan Goodbrand – MSc degree in Artificial Intelligence and Machine Learning with Distinction from ICL.
Project: Deep Learning From Noisy and Imbalanced Security Data
2024YuNan Peng – MEng degree in Electronic and Information Engineering with Distinction from ICL.
Project: Enhancing Network Intrusion Detection Systems with Active Learning: A Semi-Supervised Coreset Selection Approach
Review
I reviewed for the following journals.
- 2026IEEE Transactions on Dependable and Secure Computing (TDSC)
- 2026IEEE Transactions on Information Forensics and Security (TIFS)
- 2024Computers and Electrical Engineering (Elsevier)
I reviewed for the following workshops.
- 20265th IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)
- 202619th ACM Workshop on Artificial Intelligence and Security (AISec)
- 20265th Workshop on Rethinking Malware Analysis (WORMA)
I co-reviewed for the following conferences alongside Dr. Sergio Maffeis.
- 2024IEEE Computer Security Foundations Symposium (CSF)
- 2023IEEE Security and Privacy (Oakland)
- 2021IEEE Security and Privacy (Oakland)