Miltos Petridis

Professor Miltos Petridis is the Head of the Department of Computer Science at Middlesex University. His research focuses on artificial intelligence, with particular emphasis on case-based reasoning (CBR), machine learning, and their applications in cybersecurity, recommendation systems, healthcare analytics, and business process optimization. He leads projects involving CBR integration with deep learning models for tasks like fraud detection, medical diagnosis, and network intrusion prediction.

His work spans theoretical advancements in temporal reasoning and practical implementations in domains such as computational fluid dynamics and mobile network optimization. He has contributed to frameworks like CBR-WIMS for intelligent business process monitoring and collaborative reasoning systems. Professor Petridis collaborates extensively on interdisciplinary projects, including crime prevention via mobile apps and big data analysis, and has published widely in top-tier AI and computer science venues.

His research trends highlight a blend of foundational AI methodologies with real-world applications, emphasizing hybrid approaches that combine CBR with neural networks, clustering, and ensemble techniques to address complex problems in diverse sectors.

While no specific awards are listed, his contributions reflect sustained innovation in AI-driven solutions for industry and academia.