Ioannis D. Chasiotis

Papers

Total Citations

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About

Ioannis D. Chasiotis is a researcher at the forefront of industrial automation and control systems, with a particular focus on the integration of Industry 4.0 technologies and the Internet of Things (IoT). His work centers on developing advanced algorithms for parameter estimation and optimization in motor drive systems, which are critical for enhancing the precision and dynamic behavior of industrial applications such as robotics, packaging, and logistics. One of his most notable contributions is the application of the Salp Swarm Algorithm for DC motor parameter estimation within an IoT framework, a study that has garnered significant attention with 5 citations. This work exemplifies his ability to bridge nature-inspired computational methods with real-world industrial challenges, offering scalable solutions for modern smart factories. Chasiotis’s research is particularly relevant to engineers and researchers seeking to improve the efficiency and adaptability of automated systems. By combining theoretical innovation with practical implementation, he continues to advance the capabilities of control systems in the era of digital manufacturing.