Le pubblicazioni dell'autore sono raggiungibili sul catalogo IRIS tramite il seguente link
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 his doctoral studies, he worked as a research assistant and subsequently as a postdoctoral researcher at the Department of Computer Science at the Metropolitan University of Toronto, Canada. He is currently a researcher and lecturer at the Department of Information, Electronics, and Telecommunications Engineering (DIET) at "La Sapienza", where he teaches courses in Pattern Recognition and Computational Intelligence.
His research activity, carried out within the CIPAR LABS and the Artificial Intelligence for Electrical Engineering (AI4EE) research group at DIET, focuses on artificial intelligence, complex systems and data-driven modeling, natural language processing (NLP), computational intelligence, neural networks, and fuzzy systems, with applications to several technical areas such as large language models (LLMs), smart grids, high-power Li-ion battery modeling, and predictive maintenance. In the field of natural language processing, his interests range from theoretical advances in language modeling and meaning representation in relation to complex systems theory to technical applications in text mining.
Within the framework of complexity theory, he investigates how linguistic structures can be analyzed through tools such as fractal systems and recurrence analysis, and how meaning emerges from long-term correlations, a distinctive property of complex systems.
Since 2017, he has been involved in the innovative startup SisterPomos at Sapienza University of Rome, and in 2024 he co-founded the innovative startup TensorLoops, where he manages artificial intelligence projects in production environments.
Enrico De Santis is the author of several publications in national and international venues and is a member of the Institute of Electrical and Electronics Engineers (IEEE). He also serves as a member of the IEEE eXplainable AI (XAI) Standard Working Group.
Beyond the strictly technological domain, his research interests extend to the theoretical development of artificial intelligence and Explainable AI in relation to mathematics, language theory, and cognitive sciences, with particular attention to philosophical and epistemological aspects.
In 2021, he published the book Umanità, Complessità, Intelligenza Artificiale. Un connubio perfetto with ARACNE, an interdisciplinary essay exploring the relationship between intelligent systems and complex systems from a human-centered and systemic perspective. In September 2023, he published an article on large language models and language theory in the quarterly magazine Prometeo (Mondadori), titled “Apocalissi digitali e alchimie artificiali: il linguaggio nell’era della sua riproducibilità tecnica”. In December 2025, again in Prometeo, he published the article “Noosemia”, in which he introduces and formalizes a cognitive–phenomenological framework for understanding the attribution of agency and interiority to generative AI systems. In the same year, he contributed the chapter “L’Intelligenza Artificiale e gli strumenti di indagine” to the edited volume Intelligenza Artificiale e Indagini Penali (La Tribuna), curated by Cesare Parodi and Tania Rizzo, addressing the transformation of criminal investigation tools in the context of the data deluge and the contemporary "cognitive revolution".
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