I graduate in Philosophy at the University of Catania and I hold a PhD in Artificial Intelligence at the University of Calabria. During this wonderful time I spent long research periods at the École Polytechnique Fédérale de Lausanne and at the University of Plymouth.
The experiences during that time is truly invaluable and helped me to accomplish my PhD in the field of Evolutionary Robotics and Artificial Life in collaboration with fantastic people, both in Italy and abroad.
After the PhD I started working as researcher at the Institute of Cognitive Science and Technologies of the National Research Council in Rome. I was already collaborating with the Institute and it was a great pleasure, as well an honor for me, to be part of a wonderful research group, full of brilliant and creative people.
For rather complex reasons, in 2007 I moved from CNR, where I had a temporary position, to the University of PlymouthinUK, as Lecturer in Cognitive Robotics and Intelligent Systems.
Plymouth University gave me the possibility to work within an internationally renowned research group, working on cognitive science and robotics. At Plymouth I also became Program Manager for the Robotics Courses and I started, in collaboration with a colleague, a NVIDIA CUDA Training Center. This brought me to deliver CUDA introductory courses around the UK for NVIDIA. Moreover I was involved in the internationalisation programme of the University and I had the possibility to travel almost everywhere in the world, for teaching and meeting many different people and cultures.
Then I was promoted Associate Professor (Reader) at Plymouth, after which I spent 6 months as visiting professor at the University of Hokkaido, in Japan.
During the period in Japan I had the possibility to take advantage of an Italian law that allows people working at University, like me, to be “called back” by an Italian University, with the same academic position. After some thoughts me and my family decided to come back to Italy, in 2016, where I am now Associate Professor of Psychometrics at the University of Naples Federico II, working with many friends and colleagues and teaching to many curious students.
My research interest are various, going from my old beloved evolutionary robotics to other domain, such as psychological assessment through technological means.
I am currently coordinator of the European project ACCORD and node coordinator of a new, just funded, EU project called CODINC
Attain Cultural integration through COnflict Resolution skill Development
Enhancing Negotiation skills through on-line Assessment of Competencies and interactive mobile Training
Christos Melidis PhD
ADAPTIVE NEURAL ARCHITECTURES FOR
INTUITIVE ROBOT CONTROLTaking inspiration from human robot interaction, ergonomic principles, and autonomous robotics this project proposes a human-centric framework for robot control inspired by the current advancements in machine learning, artificial intelligence and autonomous robotics. We designed an interface connecting human and robot, providing an adaptive and intelligent interface for robot control. This project aims to create an interface capable to adapt to the user and learn from the user her own way to control the robot. The control interface is not rigidly connected to the robot, but it can learn different human’s behavioural patterns to be associated to robot’s movements. We worked with different type of Artificial Neural Architectures, such as Recurrent Neural Networks with Parametric Bias (RNNPB), Echo State Networks and Reservoir Networks, Feed-Forward Neural Networks, Deep Neural Networks, as well as Convolutional Neural Networks.
Daniela Pacella PhD
AUTOMATIC CLASSIFICATION OF NEGOTIATION STYLES WITH NLP
The research aims to create a natural language processing models that allows automatic classification and prediction of the user’s negotiation style during the interaction with virtual humans in a 3D game. We collected the sentences used in the interactions of the users with virtual artificial agents inside theENACT3D game platform and their associated negotiation style as measured by the standardized test ROCI-II. We analyse the sentences applying text mining techniques looking for statistical differences among the styles in agreement with their theoretical definitions. The research makes use of machine learning algorithms applied to Word2Vec embeddings.