Benedetta PICANO

Ruolo attuale:: Ricercatore Legge 240/10 a tempo determinato
SSD:: IINF-05/A - Sistemi di elaborazione delle informazioni
Afferenza organizzativa:: Dipartimento di Ingegneria dell'Informazione

Recapiti

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	benedetta.picano(AT)unifi.it

Benedetta PICANO

Biografia

Benedetta Picano ha conseguito la laurea magistrale in Ingegneria Informatica presso l'Università di Firenze, Italia, nel 2016, e il dottorato di ricerca in Ingegneria dell'Informazione presso la stessa università nel 2020. È stata visiting scholar presso la Houston University, Houston, USA. I suoi interessi di ricerca includono il networking, le comunicazioni wireless e le applicazioni del machine learning, con particolare attenzione all'ottimizzazione delle prestazioni dei sistemi e alla generazione di traiettorie multimodali mediante reti generative a flusso. Ha fatto parte del comitato editoriale dell'IEEE Transactions on Vehicular Technology e del Peer-to-Peer Networking and Applications Journal, ed è stata Guest Editor per la Special Issue Applications of Internet of Things Networks in 5G and Beyond, della rivista Sensors. Inoltre, ha ricoperto il ruolo di Workshop Program Chair per ISSRE 2023 e Co-chair del Track 11: Wireless Networks: Protocols, Security and Services per l'IEEE Vehicular Technology Conference 2024.

Benedetta PICANO

Curriculum

Benedetta Picano ha conseguito l'Abilitazione Scientifica Nazionale per Professore Associato in Ingegneria Informatica e in Telecomunicazioni rispettivamente nel 2024 e nel 2023. Ha ottenuto il Dottorato di Ricerca in Ingegneria dell'Informazione con lode presso l'Università di Firenze nel 2020, con una tesi dal titolo "Cross-Layer Resource Allocation Frameworks in Modern Networks". In precedenza, ha conseguito la Laurea Magistrale in Ingegneria Informatica nel 2016, con una tesi su "Resource Allocation for Next Generation Wireless Networks", e la Laurea Triennale in Informatica nel 2013, con una tesi su "Economic Models of Cybercrime".

Dal 2022 è membro del gruppo di ricerca "Software Technologies Lab" del Prof. Enrico Vicario presso l'Università di Firenze. Dal 2018 è membro del "Wireless Networking, Signal Processing and Security Lab" dell'Università di Houston, Texas. Ha supervisionato più di 27 tesi di laurea magistrale e triennale presso l'Università di Firenze. Ha insegnato 2 cfu al corso magistrale "Quantitative Evaluation of Stochastic Models" per gli studenti di Informatica e Ingegneria Informatica nelle edzioni 2024 e 2025. Ha tenuto il corso "Fondamenti di Informatica" (6 cfu) per gli studenti di Ingegneria Gestionale e Meccanica nelle edizioni 2023, 2024 e 2025.

La sua produzione scientifica comprende oltre 36 pubblicazioni, di cui 28 articoli peer-reviewed pubblicati in riviste di alto impatto nel settore delle reti di comunicazione e informatica, tra cui IEEE Transactions on Vehicular Technology, IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal, IEEE Networking, IEEE/ACM Transactions on Networking, IEEE Transactions on Network and Service Management, IEEE Transactions on Network Science and Engineering, ACM Transactions on Internet of Things, Journal of Communications and Information Networks, Computer Networks e IEEE Access.

Benedetta PICANO

Pubblicazioni

Legenda

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Tesi di Dottorato

Benedetta Picano; Romano Fantacci (2025). Efficient Task Offloading and Resource Allocation in an Intelligent UAV-MEC System. JOURNAL OF COMMUNICATIONS AND NETWORKS, pp. 1-16, ISSN:1976-5541

Benedetta Picano; Enzo Mingozzi (2025). Age-Oriented Resource Allocation for IoT Computational Intensive Tasks in Edge Computing Systems. IEEE INTERNET OF THINGS JOURNAL, pp. 0-0, ISSN:2327-4662 DOI

B. Picano ; R. Fantacci (2024). Edge Intelligent Computing Systems in Different Domains. Springer, ISBN:978-3-031-49471-0

Benedetta Picano ; Romano Fantacci (2024). A Semantic-Oriented Federated Learning for Hybrid Ground-Aqua Computing Systems. IEEE INTERNET OF THINGS JOURNAL, vol. 11, pp. 10095-10103, ISSN:2327-4662 DOI

Picano B., Fantacci R. (2024). A Combined Stochastic Network Calculus and Matching Theory Approach for Computational Offloading in a Heterogenous MEC Environment. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, vol. 21, pp. 1958-1968, ISSN:1932-4537 DOI

Carnevali, Laura; Cerboni, Stefania; Picano, Benedetta; Scommegna, Leonardo; Vicario, Enrico (2024). An observation metamodel for dependability tools. In: 19th European Dependable Computing Conference (EDCC), ieee, pp. 169-172. DOI

Picano, Benedetta; Reali, Riccardo; Scommegna, Leonardo; Vicario, Enrico (2024). Elastic Autoscaling for Distributed Workflows in MEC Networks. In: Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologie, springer, pp. 151-160, ISBN:9783031579301 DOI

Verdecchia R.; Scommegna L.; Picano B.; Becattini M.; Vicario E. (2024). Network Digital Twins: A Systematic Review. IEEE ACCESS, vol. 12, pp. 145400-145416, ISSN:2169-3536 DOI

Gallegos Ramonet, Alberto; Pecorella, Tommaso; Picano, Benedetta; Kinoshita, Kazuhiko (2024). Perspectives on IoT-oriented network simulation systems. COMPUTER NETWORKS, vol. 253, pp. 1-9, ISSN:1389-1286 DOI

Picano, Benedetta; Becattini, Marco; Carnevali, Laura; Vicario, Enrico (2024). Democratized Learning Enabling Multi-Level Digital Twin Model Integration. In: International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, vol. 2, pp. 1-8. DOI

Picano B. ; Fantacci R. (2024). An Efficient Tasks Offloading Procedure for an Integrated Edge-Computing Architecture. JOURNAL OF COMMUNICATIONS AND NETWORKS, pp. 1-12, ISSN:1229-2370

Benedetta Picano, Enrico Vicario, Romano Fantacci (2023). An Efficient Flows Dispatching Scheme for Tardiness Minimization of Data-Intensive Applications in Heterogeneous Systems. IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, pp. 1-10, ISSN:2327-4697 DOI

Benedetta Picano ; Romano Fantacci (2023). AI-Driven Digital Twins for Tasks Offloading in 6G UAV-Aided MEC Networks. In: IEEE Globecon 2023, IEEE, pp. 1-5.

Benedetta Picano, Romano Fantacci (2023). End-to-End Delay Bound Analysis for VR and Industrial IoE Traffic Flows under Different Scheduling Policies in a 6G Network. COMPUTERS, pp. 1-15, ISSN:2073-431X DOI

ROMANO FANTACCI; Benedetta Picano (2023). A D2D-Aided Federated Learning Scheme with Incentive Mechanism in 6G Networks. IEEE ACCESS, vol. 11, pp. 107-117, ISSN:2169-3536 DOI

Carnevali L.; Paolieri M.; Picano B.; Reali R.; Scommegna L.; Vicario E. (2023). A Quantitative Approach to Coordinated Scaling of Resources in Complex Cloud Computing Workflows. In: EPEW ASMTA 2023, springer, vol. 14231 LNCS, pp. 309-324, ISBN:9783031431845 DOI

BENEDETTA PICANO, ROMANO FANTACCI (2023). A Channel-Aware FL Approach for Virtual Machine Placement in 6G Edge intelligent Ecosystems. ACM TRANSACTIONS ON THE INTERNET OF THINGS, pp. 1-20, ISSN:2691-1914 DOI

Picano B, Scommegna L, Vicario E, Fantacci R. (2023). Echo State Learning for User Trajectory Prediction to Minimize Online Game Breaks in 6G Terahertz Networks. JOURNAL OF SENSOR AND ACTUATOR NETWORKS, pp. 1-10, ISSN:2224-2708 DOI

Patrizi G.; Picano B.; Catelani M.; Fantacci R.; Ciani L. (2022). Validation of RUL estimation method for battery prognostic under different fast-charging conditions. In: 2022 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2022, Ottawa (Canada), 16 May 2022 through 19 May 2022, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, ISBN:978-1-6654-8360-5 DOI Accesso ONLINE all'editore

Picano B., Fantacci R. (2022). Human-in-the-Loop Virtual Reality Offloading Scheme in Wireless 6G Terahertz Networks. COMPUTER NETWORKS, pp. 1-10, ISSN:1389-1286 DOI

Romano Fantacci ; Benedetta Picano (2022). Multi-user Semantic Communications System with Spectrum Scarcity. JOURNAL OF COMMUNICATIONS AND INFORMATION NETWORKS, pp. 1-10, ISSN:2096-1081 DOI

Picano B., Fantacci R. (2021). An Intelligent Radio Buffer-Aided Relaying Scheme with Adaptive Link Selection. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 70, pp. 3677-3684, ISSN:0018-9545 DOI

Benedetta Picano, Romano Fantacci, Tommaso Pecorella, Adnan Rashid (2021). Federated learning for IoE environments: A service provider revenue maximization framework. ITU JOURNAL, vol. 2, pp. 1-12, ISSN:2616-8375 DOI

Fantacci R., Picano B. (2021). End-to-End Delay Bound for Wireless uVRServices over 6G Terahertz Communications. IEEE INTERNET OF THINGS JOURNAL, vol. 8, pp. 1790-1799, ISSN:2327-4662 DOI

Catelani M.; Ciani L.; Fantacci R.; Patrizi G.; Picano B. (2021). Remaining Useful Life Estimation for Prognostics of Lithium-Ion Batteries Based on Recurrent Neural Network. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, vol. 70, pp. 1-11, ISSN:0018-9456 DOI Accesso ONLINE all'editore

Picano B. (2021). End-to-end delay bound for VR services in 6G terahertz networks with heterogeneous traffic and different scheduling policies. MATHEMATICS, vol. 9, pp. 1638-1653, ISSN:2227-7390 DOI

Picano, Benedetta (2021). Multi-sensorial Human Perceptual Experience Model Identifier for Haptics Virtual Reality Services in Tactful Networking. IEEE ACCESS, pp. 1-10, ISSN:2169-3536 DOI

Fantacci R., Pecorella T., Picano B., Pierucci L. (2021). Martingale Theory Application to the Delay Analysis of a Multi-hop Aloha NOMA Scheme in Edge Computing Systems. IEEE-ACM TRANSACTIONS ON NETWORKING, vol. 29, pp. 2834-2842, ISSN:1063-6692 DOI

Fantacci R. , Picano B. (2021). Edge-Based Virtual Reality over 6G Terahertz Channels. IEEE NETWORK, vol. 35, pp. 28-33, ISSN:0890-8044 DOI

Picano B., Fantacci R., Zhu Han (2021). Aging and Delay Analysis based on Lyapunov Optimization and Martingale Theory. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, pp. 8116-8126, ISSN:1939-9359 DOI

Fantacci R., Picano B. (2020). A Matching Game with Discard Policy for Virtual Machines Placement in Hybrid Cloud-Edge Architecture for Industrial IoT Systems. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, vol. 16, pp. 7046-7055, ISSN:1551-3203 DOI

Tommaso Pecorella , Romano Fantacci , Benedetta Picano (2020). Improving CSI Prediction Accuracy with Deep Echo State Networks in 5G Networks. SENSORS, vol. 20, pp. 1-12, ISSN:1424-8220 DOI

Fantacci R., Picano B. (2020). Federated learning framework for mobile edge computing networks. CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, pp. 1-8, ISSN:2468-6557 DOI

Chiti F., Fantacci R., Picano B., Pierucci L. (2020). A Capacitated House Allocation Game for the Energy Efficient Relays Selection in 5G Multicast Context. SENSORS, vol. 20, pp. 1-12, ISSN:1424-8220 DOI Accesso ONLINE all'editore

Fantacci R., Picano B. (2020). Performance Analysis of a Delay Constrained Data Offloading Scheme in an Integrated Cloud-Fog-Edge Computing System. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 69, pp. 12004-12014, ISSN:0018-9545 DOI

Benedetta Picano (2020). Cross-Layer Resource Allocation Frameworks in Modern Networks. (Tutor: Romano Fantacci, Francesco Chiti, Giulio Bartoli)

Fantacci R. , Picano B. (2020). When Network Slicing Meets Prospect Theory: A Service Provider Revenue Maximization Framework. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, pp. 1-8, ISSN:0018-9545 DOI

Picano B., Fantacci R., H. Zhu (2020). Price Control for Computational Offloading Services with Chaotic Data. In: IEEE ICNC'20 SPC, IEEE, pp. 1-5. DOI

F. Chiti, R. Fantacci, B. Picano (2020). A Matching Game for Tasks Offloading in Integrated Edge-Fog Computing Systems. EUROPEAN TRANSACTIONS ON TELECOMMUNICATIONS, vol. 31, pp. 1-8, ISSN:1124-318X DOI Accesso ONLINE all'editore

B. Picano, R. Fantacci, Zhu Han (2019). Nonlinear Dynamic Chaos Theory Framework for Passenger Demand Forecasting in Smart City. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, pp. 1-10, ISSN:0018-9545 DOI

F. Chiti, R. Fantacci, F. Paganelli, B. Picano (2019). Virtual Functions Placement with Time Constraints in Fog Computing: a Matching Theory Perspective. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, pp. 1-9, ISSN:1932-4537 DOI

Benedetta Picano, Francesco Chiti , Romano Fantacci, Zhu Han (2019). Passengers Demand Forecasting Based on Chaos Theory. In: IEEE ICC 2019, IEEE, pp. 1-6. DOI

Giulio Bartoli, Francesco Chiti, Romano Fantacci, Benedetta Picano (2019). An Efficient Resource Allocation Scheme for Applications in LR-WPANs based on a Stable Matching with Externalities Approach. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 68, pp. 5893-5903, ISSN:0018-9545 DOI

R. Fantacci, B. Picano (2019). Performance Analysis of an Edge Computing System for Real Time Computations and Mobile Users. In: IEEE Globecom 2019, IEEE, pp. 1-5. DOI

Giulio Bartoli, Romano Fantacci, Dania Marabissi, Benedetta Picano (2019). Efficient Matching for Almost Blank Subframes Allocation in Ultra Dense Networks. In: IEEE Wireless Communications and Networking Conference, Marrakech, Morocco, 15-19 April 2019, IEEE, pp. 1-5. DOI

Francesco Chiti, Romano Fantacci, Benedetta Picano (2018). A Matching Theory Framework for Tasks Offloading in Fog Computing for IoT Systems. IEEE INTERNET OF THINGS JOURNAL, vol. 5, pp. 5089-5096, ISSN:2327-4662 DOI

Chiti, Francesco; Fantacci, Romano; Picano, Benedetta; Gu, Yunan; Du, Xunsheng; Han, Zhu (2017). A low complexity matching game approach for LTE-Unlicensed. In: 2017 IEEE 86th Vehicular Technology Conference, IEEE, pp. 1-5. DOI

Benedetta PICANO

Biography

BENEDETTA PICANO received the M.E. degree in Computer Engineering at the University of Florence, Italy, in 2016, and the Ph.D. degree in Information Engineering at the University of Florence, Italy, in 2020. She was a visiting scholar at the Houston University, Houston, USA. Her research interests include computer networking, wireless communications, and machine learning application, with emphasis on system performance optimization and generation of multimodal trajectories with generative flow networks. Dr. Picano served on the Editorial Boards of the IEEE Transactions on Vehicular Technology, Peer-to-peer Networking and Applications journal, and she was Guest Editor for the Special Issue: Applications of Internet of Things Networks in 5G and Beyond, in Sensors. Finally, she was Workshop Program Chair for ISSRE 2023, and Co-chair of Track 11: Wireless Networks: Protocols, Security and Services, for IEEE Vehicular Technology Conference 2024.

Benedetta PICANO

Curriculum

Benedetta Picano obtained the National Scientific Qualification for Associate Professor in Computer Engineering and Telecommunications in 2024 and 2023, respectively. She earned her Ph.D. in Information Engineering with honors from the University of Florence in 2020, with a dissertation titled "Cross-Layer Resource Allocation Frameworks in Modern Networks." Previously, she completed her Master’s degree in Computer Engineering in 2016, with a thesis on "Resource Allocation for Next Generation Wireless Networks," and her Bachelor's degree in Computer Science in 2013, with a thesis on "Economic Models of Cybercrime."

Since 2022, she has been a member of the "Software Technologies Lab" led by Prof. Enrico Vicario at the University of Florence. Since 2018, she has been a member of the "Wireless Networking, Signal Processing and Security Lab" at the University of Houston, Texas. She has supervised more than 27 master's and bachelor's theses at the University of Florence. She has taught a 2-credit course on "Quantitative Evaluation of Stochastic Models" for Computer Science and Computer Engineering students in the 2024 and 2025 editions of the master's program. She has also lectured the 6-credit course "Fundamentals of Informatics" for Management and Mechanical Engineering students in the 2023, 2024, and 2025 editions.

Her research output includes more than 36 publications, with 28 peer-reviewed papers in high-impact journals in the fields of communication and computer networks, including IEEE Transactions on Vehicular Technology, IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal, IEEE Networking, IEEE/ACM Transactions on Networking, IEEE Transactions on Network and Service Management, IEEE Transactions on Network Science and Engineering, ACM Transactions on Internet of Things, Journal of Communications and Information Networks, Computer Networks, and IEEE Access.