Maria Drakaki

International Hellenic University, Alexander Technological Educational Institute of Thessaloniki

Papers

Total Citations

H-Index

About

Maria Drakaki is an emerging researcher in industrial automation and control systems, with a focus on integrating Industry 4.0 technologies into practical engineering solutions. Her work centers on the application of advanced optimization algorithms—such as the Salp Swarm Algorithm—for parameter estimation in DC motor drives, a critical component in modern robotics, packaging, and logistics systems. Her most-cited paper (5 citations) demonstrates how bio-inspired computational methods can enhance precision and dynamic behavior in IoT-enabled control frameworks, addressing the growing demands of smart manufacturing. Drakaki also contributes to engineering education, having co-developed an educational 3D printer using repurposed stepper motors from disk drives and an Arduino microcontroller, showcasing her hands-on approach to bridging theory and practice. While her citation count is modest, her research signals a promising trajectory in applying nature-inspired algorithms to industrial cyber-physical systems, with potential implications for the next generation of autonomous, data-driven factories.