Led by Prof. Dr. Selami Beyhan, a faculty member of our department, "Development of Multi-Fault Detection and Control Scenarios in Real-Time DC-DC Power Converters Using Machine Learning," has been awarded funding under the TÜBİTAK 1002 program.

The project aims to detect faults caused by circuit components in power converters and prevent system shutdowns through early warning mechanisms.

We congratulate Prof. Dr. Selami Beyhan and his esteemed project team on this achievement and wish them continued success in their work.