Lodovica Marchesi is a Fixed-term Researcher (RTDa) in Computer Science at the Department of Mathematics and Computer Science of the University of Cagliari, within the scientific disciplinary sector INF/01 – Computer Science (competition sector 01/B1). Her research focuses on software engineering for blockchain and Distributed Ledger Technologies, with specific interests in end-to-end supply-chain traceability (agri-food, pharmaceutical, waste management), DLT-based information ecosystems, security of decentralized systems, crypto-agility and quantum-resilient architectures, and the integration of DLT with IoT and Agile practices.
She coordinates the research unit “DLT for Supply Chains & Quantum-Resilient Architectures” within the Agile Group at the University of Cagliari and is a Research Associate at the UCL Centre for Blockchain Technologies (UCL CBT). She has held scientific responsibilities for work packages and research units in national and regional competitive projects on blockchain for supply-chain transparency, port logistics, secure data management, and innovative payment systems.
She conducted a visiting research period at Brunel University London and is the author or co-author of numerous publications in international journals and conferences. She contributes to the scientific community as Program Chair, Workshop Chair or Program Committee member for venues such as IWBOSE, WETSEB, IEEE DAPPS, XP, ICSE, ECAI and UMAP. She also serves as Associate Editor for the Cureus Journal of Computer Science.
She teaches the undergraduate courses “Informatica 1” and “Informatica 2” in the Mathematics degree program and has delivered invited lectures in schools and professional programs on blockchain and emerging technologies. Since 2012 she has also worked as an ICT consultant, with experience in software development and DLT-based systems. She is founding partner and CEO of the university spin-off Quantum Futuris S.r.l., focused on software solutions in quantum computing, artificial intelligence, blockchain, and 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
Publications:
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