The University of Naples Federico II is one of the oldest state universities in Italy and in the world. Founded 1224, it is the main Neapolitan academy and one of the most important in Italy. The wealth of skills present in the University allows for a broad and diversified training, suitable for providing students with stimulating cultural openings to present themselves in the world of work with strong professionalism and an adequate critical spirit. The University has 168 degree courses, 26 departments, of which 77 three-year, 81 master's and 10 single-cycle master's, 9 Academies, a population of about 2600 teachers and 80,000 students. 

The M.O.D.A.L. research group at the University Naples Federico II conducts research and teaches a wide range of AI related topics, often cross-disciplinary. We collaborate internationally and locally with academics, businesses and public stakeholders, working at the frontiers of knowledge on solving real-world problems. The M.O.D.A.L. research group is dynamic and community-oriented, providing many research collaboration and innovation opportunities. M.O.D.A.L. is committed to advancing knowledge and fostering learning in an atmosphere of discovery and creativity. People-oriented values such as transparency, trust, creativity and autonomy are central. Head and Scientific Coordinator: Prof. Francesco Piccialli

TUAI key persons

Prof. Francesco Piccialli is currently Associate Professor of Computer Science and Artificial Intelligence at the Department of Mathematics and Applications “R. Caccioppoli” (DMA), University of Naples Federico II (UNINA), Italy. He is the head and co-founder of the M.O.D.A.L. research group that is engaged in cutting-edge on novel methodologies, architectures and applications in the Artificial Intelligence, Machine and Deep Learning fields also focusing on their emerging application domains. He has been involved in research and development projects in the research areas of Artificial Intelligence, Data Science and Internet of Things. He is author of many scientific papers (190+) in international conferences and top-ranking journals (IEEE, ACM, Springer, Elsevier, Wiley, Nature). Currently he serves as Associate Editor of many prestigious, international and well-recognized journals.

Prof. Salvatore Cuomo focuses on the new generation of decentralized graph neural networks. Research experience:  S. Cuomo has focused on developing new scientific machine learning methods and numerical analysis techniques, which have been widely applied in different domains and applications. Moreover, he has published more than 180+ peer-reviewed papers which fully covered the research topics of the project.

Prof. Carlo Nistch focuses on developing new scientific machine learning methods and mathematical analysis techniques and theorems, which have been widely applied in different domains and applications.