Enrico De Santis – Co Founder

Enrico De Santis (Member, IEEE) received the MASc (Hons.) and the PhD degrees in Information and Communication Engineering from “Sapienza” University of Rome, Italy. During the PhD he worked as an assistant researcher and successively as a postdoc with the Department of Computer Science, Metropolitan University of Toronto. Currently, he holds a researcher position with the Department of Information Engineering, Electronics and Telecommunications (DIET) at “Sapienza”. His research interests conducted in the CIPAR LABS at DIET include artificial intelligence, complex systems and data-driven modeling, natural language processing, computational intelligence, neural networks and fuzzy systems with application to several technical areas such as Large Language Models, Smart Grids and predictive maintenance. With regard to the NLP field,  His interests span from the theoretical  advances of natural language modeling in relation to complex system theory to applications in text and social data mining. Since 2017, he has joined the innovative startup SisterPomos at “Sapienza” University, managing Artificial Intelligence projects in production environments.

In 2021 he wrote a book published with the ARACNE publishing house entitled “Umanità, Complessità, Intelligenza Artificiale. Un connubio perfetto“. The essay has an interdisciplinary perspective and intertwines various topics relating to the relationship between intelligent systems at the basis of Artificial Intelligence and complex systems in a human-centric and systemic perspective.

In September 2023 he published an article on Large Language Models and their relationships with language theory for Mondadori’s quarterly magazine “Prometeo” entitled: “Apocalissi digitali e alchimie artificiali: il linguaggio nell’era della sua riproducibilità tecnica”

Academic page

This website uses cookies and asks your personal data to enhance your browsing experience. We are committed to protecting your privacy and ensuring your data is handled in compliance with the General Data Protection Regulation (GDPR).