Husnain Rafiq

Dr. Husnain Rafiq is a Lecturer in Cyber Security at Edge Hill University, where he conducts research on machine learning applications in cybersecurity. He earned his PhD in Cyber Security from Northumbria University in December 2022, focusing on ML-based mobile malware defense. With over seven years of teaching experience, he currently supervises graduate research projects in mobile security, adversarial ML, and malware detection.

Research Focus

His research spans:

• Machine Learning for Security: Developing adversarial-aware malware detectors and evasion-resistant models
• Mobile Systems Protection: Specializing in Android malware detection using image processing and deep learning
• Cyber Defense Innovations: Creating GAN-based botnet detectors and DGA detection systems
• Trustworthy AI: Exploring explainable AI for fraud detection and content moderation

Publication Trends

Recent works demonstrate strong focus on adversarial machine learning (77% of publications) with applications in malware detection (57%), network security (35%), and trust-aware AI systems (21%). Emerging themes include explainable fraud detection, sustainable risk frameworks, and low-data regime solutions.