Luciano Alessandro IPSARO PALESI

Ruolo attuale:: Docente a Contratto

Recapiti

lucianoalessandro.ipsaropalesi(AT)unifi.it

Luciano Alessandro IPSARO PALESI

Orario di ricevimento (aggiornato al 31/10/2025)

Ogni Lunedì dalle 10:30 alle 13:00,

Via Santa Marta 3 - 50139 Firenze

Stanza 231

Luciano Alessandro IPSARO PALESI

Curriculum

Luciano Alessandro Ipsaro Palesi, Ph.D., è assegnista presso il Dipartimento di Ingegneria dell’Informazione (DINFO) dell’Università degli Studi di Firenze.

La sua attività di ricerca verte principalmente su temi quali: architetture per big data, machine learning e deep learning, Explainable Artificial Intelligence (XAI), Computer Vision, Optimization, Agent-Based Simulations.

Fa parte del DISIT Lab dell’Informazione dell’Università Firenze. Nel corso delle sue attività di ricerca ha partecipato ai seguenti progetti: Trafair, Herit-Data, Sii-Mobility, Life-Wee, Feedback, Mosaic, tourismo, ammirare, OPTIFaaS, Snap4City, ispra e unisystem.

Luciano Alessandro Ipsaro Palesi è docente a contratto del corso di Laboratorio di Informatica per il Corso di Laurea Triennale in Ingegneria Elettronica presso la scuola di Ingegneria dell’Università degli Studi di Firenze.

LINK

Google scholar: https://scholar.google.com/citations?user=ZVSLAdgAAAAJ

Scopus: https://www.scopus.com/authid/detail.uri?authorId=57226812823

WoS: https://www.webofscience.com/wos/author/record/JEO-7887-2023

ORCID: https://orcid.org/0000-0001-8992-2084

Luciano Alessandro IPSARO PALESI

Pubblicazioni

Legenda

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Articolo su libro |

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Contributo in atti di convegno (proceeding) |

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Tesi di Dottorato

Ipsaro Palesi, Luciano Alessandro; Naldi, Matteo; Nesi, Paolo (2025). Web of Things Based Advanced Smart Parking Management Solution. In: International Conference on Computational Science and Its Applications, Springer, pp. 432-450, ISBN:9783031976537 DOI

Fanfani, Marco; Giovannoni, Alberto; Ipsaro Palesi, Luciano Alessandro; Irum, Ammarah; Nesi, Paolo (2025). Fast Agent-Based Solution to Evaluate the Matching of Public Transport Offer vs Citizen Mobility Demand. In: Computational Science and Its Applications – ICCSA 2025 Workshops, Springer, pp. 255-272, ISBN:9783031976568 DOI

Bilotta, Stefano; Fereidooni, Zahra; Ipsaro Palesi, Luciano Alessandro; Nesi, Paolo (2025). Macroscopic GA-based Multi-Objective Traffic Light Optimization prioritizing tramways. APPLIED SOFT COMPUTING, vol. 178, pp. 1-20, ISSN:1568-4946 DOI Accesso ONLINE all'editore

Bellini, Pierfrancesco; Branchi, Edoardo; Collini, Enrico; Palesi, Luciano Alessandro Ipsaro; Nesi, Paolo; Pantaleo, Gianni (2025). Certifying entity models, entities and data messages on IoT/WoT platforms via blockchain. COMPUTER NETWORKS, vol. 265, pp. 0-0, ISSN:1389-1286 DOI

Bellini, P.; Ipsaro Palesi, Luciano Alessandro; Mereu, Fabrizio; Nesi, Paolo (2025). Scalable Framework for Behavior Execution of Mobility and Transport Digital Twins. In: 2025 IEEE 11th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService), IEEE, pp. 1-9. DOI

Luciano Alessandro Ipsaro Palesi, marco Fanfani , Paolo Nesi, Enrico Collini, Gianni Pantaleo, Stefano Bilotta, Pierfrancesco Bellini (2025). AI for Public Administrations: Research at UNIFI DISIT Lab. In: Ital-IA 2025 - Convegno Nazionale CINI sull'Intelligenza Artificiale, CINI, pp. 0-0.

Bilotta S.; Ipsaro Palesi L.A.; Nesi P. (2025). Exploiting open data for CO2 estimation via artificial intelligence and eXplainable AI. EXPERT SYSTEMS WITH APPLICATIONS, vol. 291, pp. 0-0, ISSN:0957-4174 DOI

Bellini, Pierfrancesco; Collini, Enrico; Fanfani, Marco; Ipsaro Palesi, Luciano A.; Nesi, Paolo; Pantaleo, Gianni; Zamperlin, Paola (2025). Snap4City Digital Twin Meeting European CityVerse Action. In: ASITA 2024, Springer, pp. 161-174, ISBN:9783031911408 DOI

Collini, Enrico; Fanfani, Marco; Ipsaro Palesi, Luciano Alessandro; Marulli, Matteo; Nesi, Paolo (2025). Privacy Preserving Solution for People Flow Origin-Destination Matrix Estimation in Public Areas. In: Computational Science and Its Applications – ICCSA 2025 Workshops, Springer, pp. 111-128, ISBN:9783031976506 DOI

Fereidooni, Zahra; Palesi, Luciano Alessandro Ipsaro; Nesi, Paolo (2025). Multi-Agent Optimizing Traffic Light Signals Using Deep Reinforcement Learning. IEEE ACCESS, vol. 13, pp. 106974-106988, ISSN:2169-3536 DOI

Luciano Alessandro Ipsaro Palesi; Paola Zamperlin (2024). Intelligenza artificiale: generatrice e (o) risolutrice di conflitti?. TESTIMONIANZE, vol. 555-556, pp. 68-75, ISSN:0040-3989

Fanfani, Marco; Palesi, Luciano Alessandro Ipsaro; Nesi, Paolo (2024). Microservices’ libraries enabling server-side business logic visual programming for digital twins. SOFTWAREX, vol. 27, pp. 0-0, ISSN:2352-7110 DOI

Stefano Bilotta, Enrico Collini, Luciano Alessandro Ipsaro Palesi, Paolo Nesi (2024). Optimizing mobility and transport infrastructures. ERCIM NEWS, vol. 138, pp. 39-40, ISSN:0926-4981

Edoardo Canti; Enrico Collini; Luciano Alessandro Ipsaro Palesi; Paolo Nesi (2024). Comparing Techniques for Temporal Explainable Artificial Intelligence. In: 2024 IEEE 10th International Conference on Big Data Computing Service and Machine Learning Applications, IEEE, pp. 87-91. DOI

Bellini, Pierfrancesco; Collini, Enrico; Fanfani, Marco; Ipsaro Palesi, Luciano Alessandro; Nesi, Paolo (2024). Smart City Digital Twin Platform Architecture for Mobility and Transport Decision Support Systems. In: 2024 IEEE International Conference on Big Data, BigData 2024, usa, 2024, Institute of Electrical and Electronics Engineers Inc., pp. 5486-5495. DOI

Pierfrancesco Bellini, Enrico Collini, Paolo Nesi, Luciano Alessandro Ipsaro Palesi, Gianni Pantaleo (2023). Decision Support Enhancement Through Big Data Visual Analytics. JOURNAL OF VISUAL LANGUAGES AND SENTIENT SYSTEMS, pp. 1-8, ISSN:2573-7147

Bellini, Pierfrancesco; Palesi, Luciano Alessandro Ipsaro; Giovannoni, Alberto; Nesi, Paolo (2023). Managing Complexity of Data Models and Performance in Broker-Based Internet/Web of Things Architectures. INTERNET OF THINGS, pp. 0-0, ISSN:2542-6605 DOI Accesso ONLINE all'editore

Bellini P.; Ipsaro Palesi Luciano Alessandro; Nesi P.; Pantaleo G. (2023). Multi Clustering Recommendation System for Fashion Retail. MULTIMEDIA TOOLS AND APPLICATIONS, pp. 1-28, ISSN:1380-7501 DOI Accesso ONLINE all'editore

Bellini Pierfrancesco ; Ipsaro Palesi L.A.; Giovannoni A.; Nesi Paolo (2023). Managing complexity of data models and performance in broker-based Internet/Web of Things architectures. INTERNET OF THINGS, vol. 23, pp. 100834-100854, ISSN:2542-6605 DOI

Stefano Bilotta; Luciano Alessandro Ipsaro Palesi; Paolo Nesi (2023). Predicting Free Parking Slots via Deep Learning in Short-Mid Terms Explaining Temporal Impact of Features. IEEE ACCESS, vol. 11, pp. 101678-101693, ISSN:2169-3536 DOI

Bellini, P.; Bologna, D.; Fanfani, M.; Ipsaro Palesi, L. A.; Nesi, P.; Pantaleo, G. (2023). Rapid Prototyping & Development Life Cycle for Smart Applications of Internet of Entities. In: IEEE International Conference on Engineering of Complex Computer Systems, IEEE, pp. 142-151, ISBN:979-8-3503-4004-4 DOI

Bellini, Pierfrancesco; Palesi, Luciano Alessandro Ipsaro; Nesi, Paolo; Pantaleo, Gianni (2023). Multi Clustering Recommendation System for Fashion Retail. MULTIMEDIA TOOLS AND APPLICATIONS, pp. 1-28, ISSN:1380-7501 DOI

Collini Enrico; Ipsaro Palesi L.A.; Nesi P.; Pantaleo G.; Zhao W. (2023). Flexible thermal camera solution for Smart city people detection and counting. MULTIMEDIA TOOLS AND APPLICATIONS, pp. 403-413, ISSN:1380-7501 DOI

Enrico Collini; Luciano Alessandro Ipsaro Palesi; Paolo Nesi; Gianni Pantaleo; Nicola Nocentini; Ascanio Rosi (2022). Predicting and Understanding Landslide Events With Explainable AI. IEEE ACCESS, vol. 10, pp. 31175-31189, ISSN:2169-3536 DOI

Luciano Alessandro Ipsaro Palesi (2022). Human Centered Big Data Analytics for Smart Applications. (Tutor: Nesi Paolo, Bellini Pierfrancesco)

Bellini, P.; Bilotta, S.; Ipsaro Palesi, L. A.; Nesi, P.; Pantaleo, G. (2022). Vehicular Traffic Flow Reconstruction Analysis to mitigate Scenarios with large City Changes. IEEE ACCESS, pp. 1-12, ISSN:2169-3536 DOI

Collini, E.; Ipsaro Palesi, L. A.; Nesi, P.; Pantaleo, G.; Nocentini, N.; Rosi, A. (2022). Predicting and Understanding Landslide Events with Explainable AI. IEEE ACCESS, vol. ---, pp. 1-15, ISSN:2169-3536 DOI Accesso ONLINE all'editore

Bellini P.; Luciano Alessandro Ipsaro Palesi ; Nesi P.; Pantaleo G. (2021). Fashion retail recommendation system by multiple clustering. In: 27th International DMS Conference on Visualization and Visual Languages, DMSVIVA 2021, KSI Research Virtual Conference Center, usa, 2021, Knowledge Systems Institute Graduate School, KSI Research Inc., pp. 14-21. DOI

Bellini, Pierfrancesco; Cenni, Daniele; Palesi, Luciano Alessandro Ipsaro; Nesi, Paolo; Pantaleo, Gianni (2021). A Deep Learning Approach for Short Term Prediction of Industrial Plant Working Status. In: 7th IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2021, gbr, 2021, Institute of Electrical and Electronics Engineers Inc., pp. 9-16. DOI

C. Badii, P. Bellini, S. Bilotta, D. Bologna, D. Cenni, A. Difino, A. Ipsaro Palesi, N. Mitolo, P. Nesi, G. Pantaleo, I. Paoli, M. Paolucci, M. Soderi (2020). How COVID-19 Lockdown Impacted on Mobility and Environmental data. BOLLETTINO DELLA SOCIETÀ GEOGRAFICA ITALIANA, pp. 0-0, ISSN:1121-7820

Luciano Alessandro IPSARO PALESI

Curriculum

Luciano Alessandro Ipsaro Palesi, Ph.D., is a research fellow at the Department of Information Engineering (DINFO) of the University of Florence.

His research focuses primarily on topics such as big data architectures, machine learning and deep learning, Explainable Artificial Intelligence (XAI), computer vision, optimization, and agent-based simulations.

He is a member of the DISIT Lab at the University of Florence. Throughout his research activities, he has participated in several projects, including Trafair, Herit-Data, Sii-Mobility, Life-Wee, Feedback, Mosaic, Tourismo, Ammirare, OPTIFaaS, Snap4City, Ispra, and Unisystem.

Luciano Alessandro Ipsaro Palesi is also a contract lecturer for the Computer Science Laboratory course in the Bachelor’s Degree program in Electronic Engineering at the School of Engineering of the University of Florence.

LINK

Google scholar: https://scholar.google.com/citations?user=ZVSLAdgAAAAJ

Scopus: https://www.scopus.com/authid/detail.uri?authorId=57226812823

WoS: https://www.webofscience.com/wos/author/record/JEO-7887-2023

ORCID: https://orcid.org/0000-0001-8992-2084