This research develops Smart Twin PM, a six-layer digital twin system for predictive maintenance in manufacturing. By combining real-time data analytics, physics-based validation, cybersecurity checks, and smart scheduling, it reduces unexpected failures by 15% and false alarms by 20%, enabling proactive, trustworthy, and efficient machine maintenance.

This research investigates how cosmic rays cause single event effects that damage aviation electronics. Using silicon carbide devices and laser simulations of energy surges, it aims to design more resilient power systems. The work supports safer, more reliable, and electrified aircraft, reducing both failure risk and environmental impact in aviation.