Lodovica Marchesi è una Ricercatrice a tempo determinato di tipo A (RTDa) presso il Dipartimento di Matematica e Informatica dell’Università di Cagliari, nel settore scientifico-disciplinare INF/01 – Informatica (settore concorsuale 01/B1).
La sua attività di ricerca riguarda l’ingegneria del software per tecnologie blockchain e Distributed Ledger, con particolare attenzione alla tracciabilità end-to-end delle filiere (agro-alimentare, farmaceutica, rifiuti), agli ecosistemi informativi basati su DLT, alla security dei sistemi decentralizzati, alla crypto-agility e alle architetture resilienti al quantum, nonché all’integrazione tra DLT, IoT e pratiche Agile.

Coordina l’unità di ricerca “DLT for Supply Chains & Quantum-Resilient Architectures” dell’Agile Group dell’Università di Cagliari ed è Research Associate dello UCL Centre for Blockchain Technologies (UCL CBT). Ha ricoperto responsabilità scientifiche su unità di lavoro e work package all’interno di progetti competitivi nazionali e regionali dedicati a tracciabilità su blockchain, logistica portuale, gestione sicura dei dati e sistemi di pagamento innovativi, contribuendo alla definizione di architetture, prototipi e valutazioni tecnico-scientifiche.

Ha svolto un periodo di visiting research presso la Brunel University London ed è autrice o co-autrice di numerosi articoli pubblicati in riviste e conferenze internazionali di livello. Contribuisce attivamente alla comunità scientifica come Program Chair, Workshop Chair o membro di comitati di programma in conferenze quali IWBOSE, WETSEB, IEEE DAPPS, XP, ICSE, ECAI e UMAP. È Associate Editor del Cureus Journal of Computer Science.

Svolge attività didattica nei corsi di Informatica 1 ed Informatica 2 per la Laurea in Matematica e ha tenuto lezioni invitate in scuole e programmi specialistici su blockchain e tecnologie emergenti. Dal 2012 opera anche come consulente in ambito ICT, con attività legate allo sviluppo software e alla progettazione di sistemi basati su DLT. È inoltre socia fondatrice e amministratrice unica dello spin-off universitario Quantum Futuris S.r.l., dedicato a soluzioni software in ambito quantum computing, intelligenza artificiale, blockchain e IoT.

e-mail: lodovica.marchesi@unica.it

Scholar – https://scholar.google.it/citations?user=cRpLgNgAAAAJ&hl=it

Scopus – https://www.scopus.com/authid/detail.uri?authorId=57202705397

DBLP – https://dblp.org/pid/217/1491.html

ResearchGate – https://www.researchgate.net/profile/Lodovica_Marchesi

Pubblicazioni:
2025
– Marchesi, L., Pompianu, L., & Tonelli, R. (2025). Security checklists for Ethereum smart contract development: Patterns and best practices. Blockchain: Research and Applications, 100367. https://doi.org/10.1016/j.bcra.2025.100367
– Marchesi, L., Marchesi, M., & Tonelli, R. (2025). A survey on cryptoagility and agile practices in the light of quantum resistance. Information and Software Technology, 178, 107604. https://doi.org/10.1016/j.infsof.2024.107604

2024
– Marchesi, L., Lunesu, M. I., & Marchesi, M. (2024). Simulating an agri-food DApp system. In Proceedings of the 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering – Companion (SANER-C) (pp. 54–63). IEEE. https://doi.org/10.1109/saner-c62648.2024.00012
– Marchesi, L., Lunesu, M. I., & Tonelli, R. (2024). Blockchain technology for certifying waste management within the digital transformation for industry and SME. In L. Boratto, C. Gena, & M. Marras (Eds.), UMAP Adjunct ’24: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (pp. 415–418). ACM. https://doi.org/10.1145/3631700.3665588
– Marchesi, L., Marchesi, M., & Tonelli, R. (2024). Reviewing crypto-agility and quantum resistance in the light of agile practices. In P. Kruchten & P. Gregory (Eds.), Agile Processes in Software Engineering and Extreme Programming – Workshops (pp. 213–221). Springer. https://doi.org/10.1007/978-3-031-48550-3_21
– Salzano, F., Marchesi, L., Pareschi, R., & Tonelli, R. (2024). Integrating blockchain technology within an information ecosystem. Blockchain: Research and Applications, 5, 100225. https://doi.org/10.1016/j.bcra.2024.100225

2023
– Marchesi, L. (2023). Using Django framework and DLT for drug supply chain management. In Proceedings of the 2023 IEEE International Conference on Decentralized Applications and Infrastructures (pp. 94–99). IEEE. https://doi.org/10.1109/DAPPS57946.2023.00021
– Salzano, F., Pareschi, R., Marchesi, L., & Tonelli, R. (2023). Blockchain-based information ecosystems. In Proceedings of the Fifth Distributed Ledger Technology Workshop (DLT 2023). CEUR Workshop Proceedings, 3460.
– Marchesi, L. (2023). Automatic generation of a blockchain-based drug supply chain management system. In Proceedings of the 2023 IEEE/ACM 6th International Workshop on Emerging Trends in Software Engineering for Blockchain (WETSEB) (pp. 25–32). IEEE. https://doi.org/10.1109/WETSEB59161.2023.00009
– Di Francesco, M., Marchesi, L., & Porcu, R. (2023). Kryptosafe: Managing and trading data sets using blockchain and IPFS. In Proceedings of the 2023 IEEE/ACM 6th International Workshop on Emerging Trends in Software Engineering for Blockchain (WETSEB) (pp. 5–8). IEEE. https://doi.org/10.1109/WETSEB59161.2023.00006

2022
– Serra, P., Fancello, G., Tonelli, R., & Marchesi, L. (2022). Application prospects of blockchain technology to support the development of interport communities. Computers, 11, 1–24. https://doi.org/10.3390/computers11050060
– Marchesi, L., Mannaro, K., Marchesi, M., & Tonelli, R. (2022). Automatic generation of Ethereum-based smart contracts for agri-food traceability system. IEEE Access, 10, 50363–50383. https://doi.org/10.1109/ACCESS.2022.3171045
– Marchesi, L., Marchesi, M., Tonelli, R., & Lunesu, M. I. (2022). A blockchain architecture for industrial applications. Blockchain: Research and Applications, 3, 100088. https://doi.org/10.1016/j.bcra.2022.100088

2021
– Serra, P., Fancello, G., Tonelli, R., & Marchesi, L. (2021). Can the blockchain facilitate the development of an interport community? In Proceedings of ICCSA 2021 (pp. 240–251). Springer. https://doi.org/10.1007/978-3-030-87016-4_18
– Lunesu, M. I., Tonelli, R., Marchesi, L., & Marchesi, M. (2021). Assessing the risk of software development in agile methodologies using simulation. IEEE Access, 9, 134240–134258. https://doi.org/10.1109/ACCESS.2021.3115941
– Marchesi, L., Mannaro, K., & Porcu, R. (2021). Automatic generation of blockchain agri-food traceability systems. In Proceedings of the 2021 IEEE/ACM 4th International Workshop on Emerging Trends in Software Engineering for Blockchain (WETSEB) (pp. 41–48). IEEE. https://doi.org/10.1109/WETSEB52558.2021.00013

2020
– Marchesi, M., Marchesi, L., Uras, N., & Tonelli, R. (2020). Forecasting Bitcoin closing price series using linear regression and neural networks models. PeerJ Computer Science, 6, e279. https://doi.org/10.7717/peerj-cs.279
– Marchesi, L., Marchesi, M., & Tonelli, R. (2020). ABCDE – Agile blockchain DApp engineering. Blockchain: Research and Applications, 1, 100002. https://doi.org/10.1016/j.bcra.2020.100002
– Marchesi, L., Marchesi, M., Destefanis, G., Barabino, G., & Tigano, D. (2020). Design patterns for gas optimization in Ethereum. In Proceedings of the 2020 IEEE International Workshop on Blockchain Oriented Software Engineering (pp. 9–15). IEEE. https://doi.org/10.1109/IWBOSE50093.2020.9050163

2018
– Corriga, A., Cusimano, S., Malloci, F., Marchesi, L., & Reforgiato Recupero, D. (2018). Leveraging cognitive computing for gender and emotion detection. In Proceedings of the 4th Workshop on Sentic Computing (pp. 47–56). CEUR Workshop Proceedings, 2111.
– Fenu, G., Marchesi, L., Marchesi, M., & Tonelli, R. (2018). The ICO phenomenon and its relationships with Ethereum smart contract environment. In Proceedings of the 2018 International Workshop on Blockchain Oriented Software Engineering (pp. 26–32). IEEE. https://doi.org/10.1109/IWBOSE.2018.8327568
– Marchesi, M., Marchesi, L., & Tonelli, R. (2018). An agile software engineering method to design blockchain applications. In Proceedings of the 14th Central and Eastern European Software Engineering Conference Russia (CEE-SECR) (pp. 1–8). ACM. https://doi.org/10.1145/3290621.3290627