Sajad Homayoun

Sajad Homayoun is a Tenure Track Assistant Professor at Aalborg University's Department of Electronic Systems within The Technical Faculty of IT and Design. His research focuses on integrating Artificial Intelligence with cybersecurity to develop advanced solutions for threat detection and mitigation.

• PhD in Computer Science
• Specialization in Cybersecurity & Machine Learning

His technical expertise spans:

• AI-driven intrusion detection systems
• Adversarial machine learning (AML)
• Explainable AI (XAI) for security transparency
• Time series and graph analysis
• MLOps implementation with MLflow
• Python development using pandas, scikit-learn, and TensorFlow

Research trends from his publications show strong emphasis on:

• Combating phishing attacks through ML
• Applying deep learning to crowdsensing trustworthiness
• Failure prediction in industrial systems
• Extracting behavioral patterns from ransomware
• Blockchain-based security applications

He teaches Network Security courses during fall semesters and maintains active collaborations with researchers across Denmark and international institutions.