Andreas Ronald Short

Andreas Ronald Short is a member of the academic staff in the Department of Industrial Design and Production at the University of West Attica since 2018. He teaches undergraduate courses including Electrical Circuits, Design of Electromechanical Installations, and Industrial Automation - PLC, alongside postgraduate courses in Production and Service Automation and New Technologies in Shipping and Transportation.

His educational background includes:

• Bachelor of Science in Automation Engineering from the University of Piraeus (2006)
• Master of Science in Control Systems from the University of Sheffield, UK (2011)
• PhD candidate in Machine Learning and Distributed Ledger Technologies

Mr. Short's research focuses on industrial applications of computational intelligence. His core work in Machine Learning for industrial production integrates Federated Learning with Blockchain to address security and fairness challenges, while his expertise in PLC/SCADA systems drives innovations in low-cost safety solutions and infrastructure monitoring. This dual-track approach bridges theoretical AI advancements with practical industrial implementations across manufacturing and critical infrastructure sectors.

Publication trends reveal a strategic shift from foundational industrial control systems (evident in early robotics and SCADA work) toward securing distributed machine learning architectures. Recent outputs demonstrate sophisticated convergence of blockchain and federated learning to solve real-world industrial problems, particularly in safety-critical environments and resource-constrained settings.

He conducts research within the Industrial Systems and Mechatronics Applications laboratory, where experimental work on automation safety mechanisms and distributed ledger integrations directly informs both his teaching curriculum and industrial collaborations.