Salaheddin Hosseinzadeh is a Senior Lecturer in the Department of Cyber Security and Networks at Glasgow Caledonian University, United Kingdom, within the School of Computing, Engineering and Built Environment. He is actively engaged in research and knowledge exchange, focusing on cybersecurity, IoT, and cyber-physical systems. His research interests lie at the intersection of cybersecurity and emerging technologies. He specializes in malware analysis, operational technology security, and smart infrastructure protection. His work leverages artificial intelligence and deep learning to detect malicious activities in mobile crowdsensing and IoT environments. He also investigates novel methods for malware classification and code execution analysis. The recent publications highlight a strong trend in applying advanced machine learning models—such as temporal convolutional networks and transformer-based CNNs—to cybersecurity challenges. These works span domains including IoT security, environmental monitoring, and critical infrastructure protection, reflecting a multidisciplinary approach to solving real-world problems. Salaheddin Hosseinzadeh is actively involved in public engagement, having participated in media discussions on Scotland’s rail network security. He also serves as a peer reviewer for scientific journals, including Sensors . He contributes to research supervision and collaborative projects, such as the current Knowledge Exchange initiative on drip irrigation in Ghana. While no formal list of students is provided, his role in multiple research outputs and projects suggests mentorship and advisory responsibilities. He is involved in a cyber-physical testbed project aimed at advancing operational technology research and education, demonstrating his commitment to practical, hands-on learning environments and infrastructure security.
