Theodoros P. Paschaloglou

Papers

Total Citations

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About

Theodoros P. Paschaloglou is a researcher at the forefront of industrial automation and intelligent control systems, with a particular focus on the integration of Industry 4.0 technologies and the Internet of Things (IoT). His most cited work, "Application of Salp Swarm Algorithm for DC Motor Parameter Estimation in an Industry 4.0 Control Systems IoT Framework" (2019), demonstrates his innovative approach to combining bio-inspired optimization algorithms with real-world industrial challenges. This paper, which has garnered 5 citations, addresses critical needs in modern manufacturing environments—from food processing and packaging to logistics and robotics—by improving the dynamic behavior and precision of DC motor drives. Paschaloglou's research bridges the gap between theoretical optimization methods and practical industrial applications, contributing to the advancement of smart factories and automated systems. His work is particularly relevant for engineers and researchers seeking to enhance the performance of industrial motor drives through intelligent parameter estimation techniques, making him a notable figure in the evolving landscape of cyber-physical production systems.