Enrico De Santis

Pubblicazioni

Titolo Pubblicato in Anno
Algoritmi di Clustering e Classificazione basati su approccio Multiagente e loro impiego nella Predizione di Guasti nelle Smart Grid Memorie - XXXIV Riunione Nazionale dei Ricercatori di Elettrotecnica 2018
Ottimizzazione Evolutiva di un Modello Affine per la Caratterizzazione della Vulnerabilità nelle Smart Grids Memorie - XXXIV Riunione Nazionale dei Ricercatori di Elettrotecnica 2018
A supervised classification system based on evolutive multi-agent clustering for smart grids faults prediction Proc. of International Joint Conference on Neural Networks (IJCNN) 2018 2018
Dissimilarity space representations and automatic feature selection for protein function prediction Proc. of International Joint Conference on Neural Networks (IJCNN) 2018 2018
Evolutionary optimization of an affine model for vulnerability characterization in smart grids Proc. of International Joint Conference on Neural Networks (IJCNN) 2018 2018
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids APPLIED SOFT COMPUTING 2017
A learning intelligent system for classification and characterization of localized faults in Smart Grids 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings 2017
Social emotional data analysis. The map of Europe Proceedings of the Conference of the Italian Statistical Society 2017
A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS IN APPLIED SCIENCES AND ENGINEERING 2017
A dissimilarity learning approach by evolutionary computation for faults recognition in smart grids Computational intelligence 2016
OTTIMIZZAZIONE DI SISTEMI DI INFERENZA FUZZY PER LA GESTIONE DEI FLUSSI ENERGETICI IN UNA MICROGRID TRAMITE ALGORITMI EVOLUTIVI Memorie ET2016 2016
Optimization of a microgrid energy management system based on a Fuzzy Logic Controller IECON Proceedings (Industrial Electronics Conference) 2016
Multi objective optimization of a fuzzy logic controller for energy management in microgrids Proc. of 2016 IEEE Congress on Evolutionary Computation, CEC 2016 2016
Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification NEUROCOMPUTING 2015
A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach Proc. of IJCNN 2015 - International Joint Conference on Neural Networks 2015
Short-term electric load forecasting using echo state networks and PCA decomposition IEEE ACCESS 2015

ERC

  • PE6_11

KET

  • 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"

 

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Keywords

Computer Science - Artificial Intelligence
Smart Grids
ambiente - sustainability
artificial neural networks (ANNs)
deep learning
Natural Language Processing
natural language generation
BIG DATA; DATA MINING ; SPETTACOLO ; VISUAL DATA ;AUDIENCE; LINGUISTICA COMPUTAZIONALE ;

Progetti di Ricerca

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