Embedded Files
Invited speakers
Invited speakers
Lola Cañamero
Lola Cañamero
CY Cergy Paris University
Professor and INEX Chair of Neuroscience and Robotics at CY Cergy Paris University, where she conducts her research within the ETIS Lab. She is also an Honorary Visiting Professor in the Adaptive Systems Research Group at the University of Hertfordshire, UK. With an academic background in Philosophy, Prof. Cañamero turned to Artificial Intelligence and later to embodied cognitive and affective robotics as a way to explore foundational philosophical questions—such as the nature of knowledge, agency, and social interaction—from a synthetic and embodied perspective. Her research investigates the origins and components of cognition in artificial autonomous agents through the lens of embodied cognition and cybernetics. She focuses particularly on motivated behavior grounded in artificial physiology, including concepts like metabolism and homeostasis, and on the roles emotional phenomena play in adaptation, intelligence, behavior, and interaction—especially via mechanisms like hormonal and chemical modulation.
Grounding emotion expression: some thoughts, many questions, and a few answers, from an Embodied Cognition stance
Grounding emotion expression: some thoughts, many questions, and a few answers, from an Embodied Cognition stance
Research on emotion expression and the development of expressive software systems and robots have attracted much interest and made huge advances in the last few years. The potential practical applications of both are numerous, as “social technology” becomes more and more pervasive in our daily lives, and social robots and AI systems based on foundation models offer new opportunities. However, important fundamental questions underlying this research and technology, particularly related to their meaningful grounding, should not be overlooked. In this talk I will discuss some of these questions and some of the answers that an embodied perspective to human and artificial cognition can provide, illustrating this discussion with examples from my own research.
Paolo Napoletano
Paolo Napoletano
University of Milano-Bicocca
Associate Professor of Computer Science at the University of Milano-Bicocca, where he also leads the Intelligent Sensing Laboratory. He holds the Italian National Academic Qualification as Full Professor in both Computer Science and Computer Engineering. Previously, he was Assistant Professor (2018–2021) and postdoctoral researcher at the Universities of Milano-Bicocca and Salerno. He received a PhD in Information Engineering from the University of Salerno in 2007 and a Master’s degree in Telecommunications Engineering from the University of Naples Federico II in 2003. His research interests include Artificial Intelligence, Machine and Deep Learning, Computer Vision, Pattern Recognition, Intelligent Sensors, and Digital Health. He has authored over 120 peer-reviewed publications and is listed among the top 2% of researchers worldwide in “Artificial Intelligence and Image Processing” (Stanford/Elsevier, 2019–2021). He is a member of ELLIS and chairs the IEEE CTSoc Technical Committee on Machine Learning and AI in Consumer Electronics. He has led several academic and industrial research projects and is co-founder of the spin-off Imaging and Vision Solutions.
Personalizing Emotion Recognition: challenges and computational strategies
Personalizing Emotion Recognition: challenges and computational strategies
Emotion recognition systems are typically built on large-scale models designed to generalize across users and contexts. However, affective states are deeply individual, shaped by personal, physiological, and socio-cultural factors. In this talk, I will explore recent advances in moving from generic to personalized emotion recognition, focusing on computational strategies that account for individual variability and challenges.
Page updated
Report abuse