I have been working as a Researcher at the Institute of Cognitive Sciences and Technologies since 2014, and I work as a permanent Researcher since 2022. In 2019, I got the PhD in Computing at the faculty of Electronics and Mathematics of the Plymouth University (United Kingdom).
My research interests cover different topics. The main focus is on two areas: the study of evolutionary algorithms used to synthesize neural network controllers for autonomous robots (Evolutionary Robotics) and techniques for the effective evolution of neural networks (Neuroevolution). Moreover, I investigate the relationship between evolution and learning in autonomous agents and the co-evolution of body and brain in agents. I am also interested in the analysis of collective decision making and collaborative behaviors in groups of robots (Swarm Robotics), the emergence of cooperation and competition in agents as well as the co-evolution of competitive behaviors in autonomous agents. Another relevant research field concerns the application of Deep Learning both in industrial contexts (Image classification) and for the assessment of behavioral quality in the elderly. Finally, other research interests regard assistive robotics, educational robotics and bioinformatics.
I took part in the SI Robotics project from 2020 to 2022. Currently, I participate as substitute Principal Investigator (PI) in the PRIN2022 "Insights into the fast genome evolution of Gibbons through single-cell strand sequencing and simulation-based approaches" project.
The list of my publications can be found at the Publications page of my personal website PaoloPagliuca.
