Special Session 39

SPECIAL SESSION #39

Nicola Giulietti

Università di Pavia,Italy

• nicola.giulietti@unipv.it

Paolo Chiariotti

Politecnico di Milano, Italy

• paolo.chiariotti@polimi.it

This special session dives into the transformative potential of AI-powered virtual sensors across various fields such as robotics, sports, rehabilitation, industry, and manufacturing. It aims to showcase the latest advancements and interdisciplinary applications of virtual sensor technology, highlighting how artificial intelligence can enhance sensing capabilities through indirect measurement approaches, enabling more efficient, accurate, and innovative approaches to data collection and analysis.

Topics of interest for this Special Session include but are not limited to:

• Robotics: Enhancing robotic perception and interaction using AI-driven virtual sensors for improved control, autonomy and precision.
• Rehabilitation: Applying virtual sensing to monitor patient movements and progress, offering personalized therapy solutions.
• Worker safety monitoring: Employing AI-driven virtual sensors to supervise and monitor workers, identify hazards and issue early warnings to reduce accidents and injuries.
• Industrial Process Optimization: Utilizing virtual sensors in predictive maintenance, quality control, and supply chain management to boost efficiency and reduce downtime.
• Smart Manufacturing: Implementing AI-powered virtual sensing for real-time monitoring and control, facilitating adaptive manufacturing processes.
• Environmental Monitoring: Employing virtual sensors to model and predict environmental impacts on operations in various sectors.
• Civil and Infrastructure: leveraging on AI-powered solutions to extract data for structural health monitoring.
• Healthcare Monitoring: Innovative use of virtual sensors for non-invasive patient monitoring and health assessment.
• Automotive Safety: Integrating virtual sensors for enhanced vehicle diagnostics, safety features, and autonomous driving capabilities.
• Energy Management: Optimization of energy consumption and operational efficiency in buildings and industrial setups through virtual sensors.
• Food and Agriculture: Application of virtual sensing for precision agriculture, crop monitoring, and resource management.

Nicola Giulietti, received his PhD in Industrial Engineering from the Polytechnic University of Marche, Ancona, in 2022. From 2021 to 2023 he is a research fellow at the Politecnico di Milano. He is currently assistant professor in Mechanical and Thermal Measurements at the University of Pavia. His main research interests concern the development of innovative measurement systems, with a focus on computer vision and artificial intelligence.

Paolo Chiariotti, received his Ph.D. degree in Mechanical Engineering and Management from Polytechnic University of Marche, Ancona, Italy, in 2011. He is currently Associate Professor in Mechanical and Thermal Measurements at Politecnico di Milano. His main research interests are in the development of innovative measurement systems, with special focus on non-contact approaches.