Associate Professor & Ph.D.
Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB)
Politecnico di Milano
I have been working as an Associate Professor at the Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, since July 2020, where I also obtained my Ph.D. in Information Engineering. I currently hold the Italian academic qualification as Full Professor for the 09/H1 sector.
My primary research interests lie in the broad field of Information Systems Engineering, encompassing Service-Oriented Computing (SOC), Federated Data Governance, Business Process Management (BPM), and Blockchain. I explore these topics across various application domains, with a particular focus on healthcare and Industry 4.0.
I have published more than 100 papers, including 20 journal papers and about 60 peer-reviewed conference and workshop papers (including GGS A/A‑ Class conferences CAiSE, ICSOC, ICWS). I have raised funding through competitive tenders for more than 1.3M€, serving as scientific coordinator for Horizon 2020 and Horizon Europe projects.
I will serve as Program Co-chair for CAiSE 2026. I am a member of the Steering Committee of CAiSE, and have served two terms as Elected Chair of the IFIP WG 2.14/6.12/8.10 – Service-Oriented Systems. I am Associate Editor of the International Journal of Cooperative Information Systems and on the Board of Distinguished Reviewers for ACM TOSEM.
I have nearly 20 years of teaching experience and have supervised 4 Ph.D. students (Giovanni Meroni, Matteo Falconi, Shudan Yang, Valeria Maria Fortina).
Research conducted in collaboration with Technical University of Berlin (Germany), Technical University of Vienna (Austria), University of Crete - FORTH Institute (Greece), IBM Research Labs (New York, US & Haifa, IL), NTNU (Norway), Università La Sapienza, Università di Roma, and Politecnico di Torino.
Main areas: Information Systems Engineering · Service-Oriented Computing · Business Process Management · Blockchain · Healthcare & Industry 4.0
Data sharing requires governance policies ensuring secure access, regulatory compliance, and efficient infrastructure. This research focuses on developing methods and tools to design and implement data sovereignty policies in federated data lake environments, leveraging NLP for policy design and blockchain for observability.
Business processes increasingly leverage smart objects in multi-organizational settings. This research explores declarative approaches (GSM, CMMN) and blockchain as a shared platform to design reliable processes and ensure accurate execution among multiple parties.
This research covers the design and execution of service-based applications able to react to failures in distributed multi-ownership environments. Key contributions include the URBE semantic matchmaking algorithm (WSDL/SAWSDL) and QoS modeling for multi-channel systems.
A complete, up-to-date list of publications is available through the following registries:
Regular contributions to CAiSE, BPM, ICSOC, ESOCC, IEEE SOCA, and top journals including IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Services Computing, IEEE Transactions on Cloud Computing, and Information Systems (Elsevier).
I welcome thesis proposals in Automated Data Governance and Business Process Compliance, including industry collaborations. Please contact me by e-mail to schedule an appointment.
AI and LLM-based approaches for automatic policy enforcement, data classification, and compliance verification in Data Mesh environments. Topics include LLM-generated Rego policies for OPA, real-time monitoring of REST-based data services, and explainability of automated governance decisions.
Ensuring compliance in inter-organizational BPM choreographies using Blockchain or LLMs. Case studies in supply chain, healthcare, banking/GDPR.
ORCID