Enrico De Santis


Titolo Pubblicato in Anno
Human versus machine intelligence. Assessing natural language generation models through complex systems theory IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2024
Modeling failures in smart grids by a bilinear logistic regression approach NEURAL NETWORKS 2024
Multifractal Characterization of Texts for Pattern Recognition: on the Complexity of Morphological Structures in Modern and Ancient Languages IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2023
On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study SN COMPUTER SCIENCE 2023
Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing COGNITIVE COMPUTATION 2023
An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia–Ukraine Conflict INFORMATION 2023
A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context 2023 International Joint Conference on Neural Networks (IJCNN) 2023
Apocalissi digitali e alchimie artificiali. Il linguaggio nell'epoca della sua riproducibilità tecnica PROMETEO 2023
Facing Graph Classification Problems by a Multi-agent Information Granulation Approach Computational intelligence 2023
An Information Granulation Approach Through m-Grams for Text Classification Computational intelligence 2023
Improving Simulation Realism in Developing a Fuzzy Modular Autonomous Driving System for Electric Boats Studies in Computational Intelligence 2023
A comparison between seasonal and non-seasonal forecasting techniques for energy demand time series in smart grids Proceedings of the 15th International Joint Conference on Computational Intelligence - NCTA 2023 2023
Multifractal characterization and modeling of blood pressure signals ALGORITHMS 2022
Estimation of fault probability in medium voltage feeders through calibration techniques in classification models SOFT COMPUTING 2022
A Comparison between crisp and fuzzy Logic in an autonomous driving system for boats Proc. of IEEE International Fuzzy Systems Conference 2022
On component-wise dissimilarity measures and metric properties in pattern recognition PEERJ. COMPUTER SCIENCE. 2022
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains Proc. of 2022 International Joint Conference on Neural Networks (IJCNN) 2022
Progetto “Life for Silver Coast”: sistema di guida autonoma per un battello elettrico Memorie - XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica 2022
Tecniche di granular computing multi-etichetta in spazi non-metrici per l’analisi della sicurezza delle comunicazioni Memorie - XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica 2022
Ottimizzazione di sistemi lightweight granular computing per la classificazione di grafi etichettati Memorie - XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica 2022


  • PE6_11


  • Big data & computing

Interessi di ricerca

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 and in 2024 co-founded the innovative startup TensorLoops, 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"


Social Links



Computer Science - Artificial Intelligence
Smart Grids
ambiente - sustainability
artificial neural networks (ANNs)
deep learning
Natural Language Processing
natural language generation

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