Giovanni Mirabelli

Professor Giovanni Mirabelli is an Associate Professor at the University of Calabria and senior representative of the Industrial Engineering group. His research is prominently featured in numerous publications that focus on the intersection of manufacturing systems, human-robot interaction, and digital twin technologies. Some of his recent works include exploring the role of digital twins in enhancing human-robot collaboration and developing cognitive capabilities for smart operators in manufacturing environments

His studies also considers the use of genetic algorithms for adaptive scheduling in manufacturing systems. Professor Mirabelli's research is published in respected journals and conference proceedings, such as the "IET Collaborative Intelligent Manufacturing," "European Modeling and Simulation Symposium," and "Lecture Notes in Networks and Systems." His work is contributing significantly to advancements in manufacturing technologies and intelligent systems.

Giovanni Mirabelli

Senior Research Scientist

  • 1. Digital Twins in Manufacturing:

    Investigates how digital replicas can be utilized to optimize manufacturing processes and improve decision-making through real-time data and simulation.

  • 2. Human-Robot Interaction (HRI):

    Focuses on enhancing the collaboration between humans and robots to ensure efficient and safe operations within industrial settings.

  • 3. Smart Manufacturing Systems:

    Develops methodologies and tools to integrate intelligent systems into manufacturing operations, aiming to boost productivity and adaptability.

  • 4. Cognitive Enhancement of Operators:

    Explores the integration of cognitive technologies in manufacturing environments to augment the capabilities of human operators.

  • 5. Adaptive Scheduling Algorithms:

    Researches the application of genetic algorithms to create flexible and efficient scheduling systems for dynamic manufacturing environments.

  • 6. Emotion Recognition in Collaborative Settings

    Studies the application of digital twin technologies for recognizing and responding to human emotions in collaborative manufacturing scenarios.