Prof. Alessandro Simeone is an Assistant Professor at the
Department of Management and Production Engineering (DIGEP), Politecnico di
Torino, Italy. He received his PhD degree from the Università degli studi di
Napoli Federico II. The PhD programme is entitled ‘Production Technology and
Systems’, with a particular focus on Innovative Materials, Processes, and
Systems. His research interests include manufacturing process monitoring, advanced
data processing, etc.
Prof. Massimiliano Zecca is a Professor of Healthcare
Technology at Loughborough University, UK, in the School of Mechanical,
Electrical, and Manufacturing Engineering (MEME), where he leads the Wearable
BioRobotics Research Team. He is also a key member of the National Centre for Sports
and Exercise Medicine, East Midlands, Loughborough, United Kingdom, and he
continues working with Waseda University, Tokyo, Japan, as a Visiting Professor
of Robotics. His research goal has been the quantification of the capabilities
of human beings in different situations, such as training for laparoscopic
surgery, mastication analysis, gait analysis in rehabilitation, as well as
human–robot emotional and musical interaction, just to mention a few examples, and the
application of these findings for developing more advanced robots.
Dr. Andrea Paoli is a Senior Lecturer in Robotics and
Automation at Loughborough University with a background in control engineering
and extensive experience teaching and researching automated manufacturing
systems. He completed his PhD studies at the Universita degli Studi di Bologna
in 2004. He received his engineering education, specifically in
mechatronics and automation, at the University of Bologna, at the heart of
global mechatronics, and he is immersed in one of the largest industrial automation
ecosystems in the world, the ‘Packaging Valley’, Italy. With over twenty years
of experience in research and teaching across both the UK and Italy, he has led
interdisciplinary projects and research teams, applying advanced technologies
such as autonomous systems, AI, and robotics to address complex, real-world
challenges.
