Giuseppe De Pietro
Professore OrdinarioBiografia
Giuseppe De Pietro è Professore Ordinario di Informatica e Direttore del Dipartimento di Scienze e Tecnologie dell'Informazione presso l'Università Telematica Pegaso. È Ricercatore Associato presso l'Istituto per il Calcolo e le Reti ad Alte Prestazioni – CNR. In precedenza, è stato Professore Aggiunto presso il College of Science and Technology della Temple University di Philadelphia e la Facoltà di Ingegneria dell'Università di Napoli Federico II.
Da settembre 2014 a marzo 2024, ha ricoperto il ruolo di Direttore dell'Istituto per il Calcolo e le Reti ad Alte Prestazioni presso il CNR. È stato consulente per il Ministero per le Riforme e le Innovazioni nella Pubblica Amministrazione, definendo strategie per la diffusione delle nuove tecnologie dell'informazione e della comunicazione nell'e-government. Inoltre, ha svolto il ruolo di esperto per il Ministero dello Sviluppo Economico, specializzandosi nella ricerca e sviluppo precompetitiva per la valutazione di progetti di innovazione tecnologica in aree come l'architettura e i sistemi di elaborazione, l'automazione d'ufficio, le reti informatiche e l'ingegneria del software. È stato anche membro della commissione bilaterale DigitPA – CNR per l'innovazione tecnologica e i processi di e-government. È stato membro italiano del European Reflection Group sull'e-Infrastructure e un esperto nominato dal Ministero della Ricerca italiano per pianificare le reti di ricerca europee.
Ricopre il ruolo di Presidente del Consiglio di Amministrazione della fondazione Future Artificial Intelligence Research (FAIR), di eHealthNet Scarl e di PM4Care Scarl. È anche membro del Consiglio di Amministrazione del Distretto Tecnologico Regionale Databenc Scarl.
La sua ricerca si concentra principalmente sull'intelligenza artificiale, in particolare sul machine learning, deep learning e natural language processing (NLP). Questi ambiti trovano applicazione nei sistemi di supporto decisionale nel campo medico e nella realtà virtuale e aumentata. Ha partecipato attivamente a numerosi progetti europei e nazionali, con numerose collaborazioni industriali. Coordina i progetti europei SMART BEAR e AI4HEALTHSEC nell'ambito di Horizon 2020. Ha pubblicato oltre 250 articoli scientifici in riviste e conferenze internazionali. Inoltre, è Associate Editor per Frontiers in Artificial Intelligence.
Facoltà
Materia d'insegnamento
Programmazione 1
Ricevimento
Lunedi 12-13
Modalità di prenotazione degli uffici
Pubblicazioni
https://www.unipegaso.iris.cineca.it/cris/rp/rp00381
Pubblicazioni su rivista ultimi 5 anni
1. Buonaiuto, Giuseppe, Raffaele Guarasci, Aniello Minutolo, Giuseppe De Pietro, and Massimo Esposito.. “Quantum Transfer Learning for Acceptability Judgements.” QUANTUM MACHINE INTELLIGENCE, 2024. https://doi.org/10.1007/s42484-024-00141-8.
2. Dubbioso, Raffaele, Myriam Spisto, Laura Verde, Valentina Virginia Iuzzolino, Gianmaria Senerchia, Giuseppe De Pietro, Ivanoe De Falco, and Giovanna Sannino.. “Precision Medicine in ALS: Identification of New Acoustic Markers for Dysarthria Severity Assessment.” BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024. https://doi.org/10.1016/j.bspc.2023.105706.
3. Mennella, Ciro, Umberto Maniscalco, Giuseppe De Pietro, and Massimo Esposito.. “Modeling Rehabilitation Dataset to Implement Effective AI Assistive Systems.” DISCOVER ARTIFICIAL INTELLIGENCE ,2024. https://doi.org/10.1007/s44163-024-00130-7.
4. Mennella, C., U. Maniscalco, G. De Pietro, and M. Esposito.. “Ethical and Regulatory Challenges of AI Technologies in Healthcare: A Narrative Review.” HELIYON, 2024. https://doi.org/10.1016/j.heliyon.2024.e26297.
5. Melillo, Antonio, Sarah Rachedi, Giuseppe Caggianese, Giuseppe De Pietro, Luigi Gallo, Patrizia Maiorano, Francesca Gimigliano, Fabio Lucidi, et al.. “Synchronization of a Virtual Reality Scenario to Uterine Contractions for Labor Pain Management: Development Study and Randomized Controlled Trial.” GAMES FOR HEALTH JOURNAL, 2024. https://doi.org/10.1089/g4h.2023.0202.
7. https://doi.org/10.3390/electronics13132500.
8. Mennella, C., M. Esposito, G. De Pietro, and U. Maniscalco.. “Promoting Fairness in Activity Recognition Algorithms for Patient’s Monitoring and Evaluation Systems in Healthcare.” COMPUTERS IN BIOLOGY AND MEDICINE 2024. https://doi.org/10.1016/j.compbiomed.2024.108826.
9. Dubbioso, Raffaele, Myriam Spisto, Laura Verde, Virginia Iuzzolino Valentina, Gianmaria Senerchia, Elena Salvatore, Giuseppe De Pietro, Ivanoe De Falco, and Giovanna Sannino.. “Voice Signals Database of ALS Patients with Different Dysarthria Severity and Healthy Controls.” SCIENTIFIC DATA, 2024. https://doi.org/10.1038/s41597-024-03597-2.
10. Buonaiuto, Giuseppe, Francesco Gargiulo, Giuseppe De Pietro, Massimo Esposito, and Marco Pota. “The Effects of Quantum Hardware Properties on the Performances of Variational Quantum Learning Algorithms.” QUANTUM MACHINE INTELLIGENCE 2024. https://doi.org/10.1007/s42484-024-00144-5.
11. Palombi, Tommaso, Federica Galli, Francesco Giancamilli, Monica D’Amico, Fabio Alivernini, L Gallo, Pietro Neroni, Giuseppe De Pietro et al.. “The Role of Sense of Presence in Expressing Cognitive Abilities in a Virtual Reality Task: An Initial Validation Study.” SCIENTIFIC REPORTS 2023. https://doi.org/10.1038/s41598-023-40510-0.
12. Shah, Syed Ihtesham Hussain, Giuseppe De Pietro, Giovanni Paragliola, and Antonio Coronato.. “Projection Based Inverse Reinforcement Learning for the Analysis of Dynamic Treatment Regimes.” APPLIED INTELLIGENCE, 2023. https://doi.org/10.1007/s10489-022-04173-0.
13. Ullah, Zaib, Muddasar Naeem, Antonio Coronato, Patrizia Ribino, and Giuseppe De Pietro.. “Blockchain Applications in Sustainable Smart Cities.” SUSTAINABLE CITIES AND SOCIETY, 2023. https://doi.org/10.1016/j.scs.2023.104697.
14. Mennella, Ciro, Umberto Maniscalco, Giuseppe De Pietro, and Massimo Esposito.. “Generating a Novel Synthetic Dataset for Rehabilitation Exercises Using Pose-Guided Conditioned Diffusion Models: A Quantitative and Qualitative Evaluation.” COMPUTERS IN BIOLOGY AND MEDICINE 2023. https://doi.org/10.1016/j.compbiomed.2023.107665.
15. Mennella, Ciro, Umberto Maniscalco, Giuseppe De Pietro, and Massimo Esposito.. “A Deep Learning System to Monitor and Assess Rehabilitation Exercises in Home-Based Remote and Unsupervised Conditions.” COMPUTERS IN BIOLOGY AND MEDICINE Volume 166, 2023. https://doi.org/10.1016/j.compbiomed.2023.107485
16. Pota, Marco, Giuseppe De Pietro, and Massimo Esposito.. “Real-Time Anomaly Detection on Time Series of Industrial Furnaces: A Comparison of Autoencoder Architectures.” ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2023. https://doi.org/10.1016/j.engappai.2023.106597.
17. Brancato, Valentina, Nadia Brancati, Giusy Esposito, Massimo La Rosa, Carlo Cavaliere, Ciro Allarà, Valeria Romeo, Giuseppe De Pietro et al.. “A Two-Step Feature Selection Radiomic Approach to Predict Molecular Outcomes in Breast Cancer.” SENSORS, 2023. https://doi.org/10.3390/s23031552.
18. Buonaiuto, Giuseppe, Francesco Gargiulo, Giuseppe De Pietro, Massimo Esposito, and Marco Pota. “Best Practices for Portfolio Optimization by Quantum Computing, Experimented on Real Quantum Devices.” SCIENTIFIC REPORTS, 2023. https://doi.org/10.1038/s41598-023-45392-w.
19. Catelli, Rosario, Luca Bevilacqua, Nicola Mariniello, Vladimiro Scotto Di Carlo, Massimo Magaldi, Hamido Fujita, Giuseppe De Pietro, and Massimo Esposito.. “A New Italian Cultural Heritage Data Set: Detecting Fake Reviews with BERT and ELECTRA Leveraging the Sentiment.” IEEE ACCESS, 2023. https://doi.org/10.1109/ACCESS.2023.3277490.
20. Ciro, Mennella, Maniscalco Umberto, Giuseppe De Pietro, and Massimo Esposito.. “The Role of Artificial Intelligence in Future Rehabilitation Services: A Systematic Literature Review.” IEEE ACCESS 2023. https://doi.org/10.1109/ACCESS.2023.3236084.
21. Brancati, Nadia, Massimo La Rosa, Giuseppe De Pietro, Giusy Esposito, Marika Valentino, Marco Aiello, and Marco Salvatore.. “An Investigation on Radiomics Feature Handling for HNSCC Staging Classification.” APPLIED SCIENCES, 2022. https://doi.org/10.3390/app12157826.
22. Brancati, N., A. M. Anniciello, P. Pati, D. Riccio, G. Scognamiglio, G. Jaume, G. De Pietro, et al. 2 “BRACS: A Dataset for BReAst Carcinoma Subtyping in h&e Histology Images.” DATABASE, 2022. https://doi.org/10.1093/database/baac093.
23. Gargiulo, Francesco, Aniello Minutolo, Raffaele Guarasci, Emanuele Damiano, Giuseppe De Pietro, Hamido Fujita, and Massimo Esposito.. “An ELECTRA-Based Model for Neural Coreference Resolution.” IEEE ACCESS, 2022. https://doi.org/10.1109/ACCESS.2022.3189956.
24. Guarasci, R., S. Silvestri, G. De Pietro, H. Fujita, and M. Esposito.. “BERT Syntactic Transfer: A Computational Experiment on Italian, French and English Languages.” COMPUTER SPEECH AND LANGUAGE, 2022. https://doi.org/10.1016/j.csl.2021.101261.
25. Catelli, R, L Bevilacqua, N Mariniello, V Scotto di Carlo, M Magaldi, H Fujita, G De Pietro, and M Esposito.. “Cross Lingual Transfer Learning for Sentiment Analysis of Italian TripAdvisor Reviews.” EXPERT SYSTEMS WITH APPLICATIONS,2022. https://doi.org/10.1016/j.eswa.2022.118246.
26. Verde, L, N Brancati, Giuseppe De Pietro, M Frucci, and G Sannino.. “A Deep Learning Approach for Voice Disorder Detection for Smart Connected Living Environments.” ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2022. https://doi.org/10.1145/3433993.
27. Catelli, R, H Fujita, G De Pietro, and M Esposito. “Deceptive Reviews and Sentiment Polarity: Effective Link by Exploiting BERT.” EXPERT SYSTEMS WITH APPLICATIONS, 2022. https://doi.org/10.1016/j.eswa.2022.118290.
28. De Falco, Ivanoe, Giuseppe De Pietro, and Giovanna Sannino.. “A Two-Step Approach for Classification in Alzheimer’s Disease.” SENSORS, 2022. https://doi.org/10.3390/s22113966.
29. De Pietro, Giuseppe, and Marco Pota.. “Special Issue ‘Fuzzy Decision Making and Soft Computing Applications’.” APPLIED SYSTEM INNOVATION, 2022. https://doi.org/10.3390/asi5030054.
30. Guarasci, R, G De Pietro, and M Esposito.. “Quantum Natural Language Processing: Challenges and Opportunities.” APPLIED SCIENCES, 2022. https://doi.org/10.3390/app12115651.
31. Melillo, A, A Chirico, G De Pietro, L Gallo, G Caggianese, D Barone, M De Laurentiis, and A Giordano.. “Virtual Reality Rehabilitation Systems for Cancer Survivors: A Narrative Review of the Literature.” CANCERS, 2022. https://doi.org/10.3390/cancers14133163.
32. Melillo, A, P Maiorano, S Rachedi, G Caggianese, E Gragnano, L Gallo, G De Pietro, M Guida, A Giordano, and A Chirico.. “Labor Analgesia: A Systematic Review and Meta-Analysis of Non-Pharmacological Complementary and Alternative Approaches to Pain During First Stage of Labor.” CRITICAL REVIEWS IN EUKARYOTIC GENE EXPRESSION, 2022. https://doi.org/10.1615/CritRevEukaryotGeneExpr.2021039986.
33. Vaia, Sebastiano, Alessandro Iavarone, Franca Moschiano, Carlo Strube, Nadia Gamboz, Giuseppe De Pietro, Sandro Gentile, Elisabetta Garofalo, Maria Sannino, and Michele Carpinelli Mazzi. “Computer-Aided Cognitive Training in Patients with Neurocognitive Vascular Impairment: Effects on Cognition, Depression and Behavior.” JOURNAL OF GERONTOLOGY AND GERIATRICS, 2022. https://doi.org/10.36150/2499-6564-n357.
34. De Falco, I, G De Pietro, and G Sannino.. “Classification of Covid-19 Chest x-Ray Images by Means of an Interpretable Evolutionary Rule-Based Approach.” NEURAL COMPUTING & APPLICATIONS 2022. https://doi.org/10.1007/s00521-021-06806-w.
35. Pati, P., G. Jaume, A. Foncubierta, F. Feroce, A. M. Anniciello, G. Scognamiglio, N. Brancati, g. De Pietro, et al.. “Hierarchical Graph Representations in Digital Pathology.” MEDICAL IMAGE ANALYSIS, 2022. https://doi.org/10.1016/j.media.2021.102264.
36. Minutolo, Aniello, Raffaele Guarasci, Emanuele Damiano, Giuseppe De Pietro, Hamido Fujita, and Massimo Esposito.. “A Multi-Level Methodology for the Automated Translation of a Coreference Resolution Dataset: An Application to the Italian Language.” NEURAL COMPUTING & APPLICATIONS, 2022. https://doi.org/10.1007/s00521-022-07641-3.
37. Pota, M, A Minutolo, E Damiano, G De Pietro, and M Esposito.. “Betting on Yourself: A Decision Model for Human Resource Allocation Enriched with Self-Assessment of Soft Skills and Preferences.” IEEE ACCESS, 2022. https://doi.org/10.1109/ACCESS.2022.3157640.
38. Minutolo, Aniello, Emanuele Damiano, Giuseppe De Pietro, Hamido Fujita, and Massimo Esposito.. “A Conversational Agent for Querying Italian Patient Information Leaflets and Improving Health Literacy.” COMPUTERS IN BIOLOGY AND MEDICINE ,2022. https://doi.org/10.1016/j.compbiomed.2021.105004.
39. Shah, Syed Ihtesham Hussain, Antonio Coronato, Muddasar Naeem, and Giuseppe De Pietro.. “Learning and Assessing Optimal Dynamic Treatment Regimes Through Cooperative Imitation Learning.” IEEE ACCESS,2022. https://doi.org/10.1109/access.2022.3193494.
40. Verde, Laura, Giuseppe De Pietro, and Giovanna Sannino.. “Artificial Intelligence Techniques for the Non-Invasive Detection of COVID-19 Through the Analysis of Voice Signals.” ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2021. https://doi.org/10.1007/s13369-021-06041-4.
41. Brancati, N., G. De Pietro, M. Frucci, and D. Riccio. “Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks.” IEEE ACCESS, 2021. https://doi.org/10.1109/ACCESS.2021.3086892.
42. Catelli, R, V Casola, G De Pietro, H Fujita, and M Esposito. “Combining Contextualized Word Representation and Sub-Document Level Analysis Through Bi-LSTM+CRF Architecture for Clinical de-Identification.” KNOWLEDGE-BASED SYSTEMS, 2021. https://doi.org/10.1016/j.knosys.2020.106649.
43. Guarasci, Raffaele, Aniello Minutolo, Emanuele Damiano, Giuseppe De Pietro, Hamido Fujita, and Massimo Esposito.. “ELECTRA for Neural Coreference Resolution in Italian.” IEEE ACCESS, 2021. https://doi.org/10.1109/ACCESS.2021.3105278.
44. Naeem, Muddasar, Giuseppe De Pietro, and Antonio Coronato.. “Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems.” SENSORS , 2021. https://doi.org/10.3390/s22010309.
45. Silvestri, Stefano, Giuseppe De Pietro, Massimo Esposito, and Raffaele Guarasci.. “Assessing BERT’s Ability to Learn Italian Syntax: A Study on Null-Subject and Agreement Phenomena.” JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021. https://doi.org/10.1007/s12652-021-03297-4.
47. Catelli, R., F. Gargiulo, V. Casola, G. De Pietro, H. Fujita, and M. Esposito.. “A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the de-Identification of Italian Medical Records.” IEEE ACCESS, 2021. https://doi.org/10.1109/ACCESS.2021.3054479.
48. Brancati, N., G. De Pietro, M. Frucci, and D. Riccio.. “A Deep Learning Approach for Breast Invasive Ductal Carcinoma Detection and Lymphoma Multi-Classification in Histological Images.” IEEE ACCESS, 2019. https://doi.org/10.1109/ACCESS.2019.2908724.
49. Coronato, A, M Naeem, G De Pietro, and G Paragliola.. “Reinforcement Learning for Intelligent Healthcare Applications: A Survey.” ARTIFICIAL INTELLIGENCE IN MEDICINE, 2020. https://doi.org/10.1016/j.artmed.2020.101964.
50. Esposito, Massimo, Emanuele Damiano, Aniello Minutolo, Giuseppe De Pietro, and Hamido Fujita.. “Hybrid Query Expansion Using Lexical Resources and Word Embeddings for Sentence Retrieval in Question Answering.” INFORMATION SCIENCES, 2020. https://doi.org/10.1016/j.ins.2019.12.002.