Paraskevi Vorropoulou studied Electrical Engineering and Computer Engineering at the Technical University of Berlin, specializing in automation technology, control systems, and cognitive systems. Her academic work focused on data-driven and model-based approaches for condition monitoring, system health prediction, and the optimization of energy systems. In 2021, she co-authored a paper titled “Iterative Learning Control in Prosumer-based DC Microgrids” and presented it at the IEEE International Conference on DC Microgrids.

She gained professional experience in industrial quality assurance as well as in university teaching, particularly in the fields of electrodynamics and programming. Her technical expertise includes electrical engineering, control and measurement technology, signal processing, robotics, machine learning, data analysis, and software development.

Since early 2025, Paraskevi Vorropoulou has been working in the field of intellectual property and supports our clients in patent application and patent grant proceedings as well as in trade mark law.