Full Professor
My research activity is in the field of data and information management and access. My current interests mainly focus on information sharing and exchange in heterogeneous and distributed contexts, stream data management, scalable data science, and data-centric AI. In the past, I worked on non-conventional data like textual information, tree-structured and graph-structured data, on temporal databases and schema versioning, and on personalized data access. My activities within these areas cover a wide spectrum, including theory and foundations, algorithm design, software and systems, and engagement with industry.
I’m a member of the Editorial Board of the following journals:
- Associate Editor of Data Science and Engineering (Elservier)
- Associate Editor of Frontiers in High-Performance Computing – section High Performance Big Data Systems
- Review Editor of Frontiers in Artificial Intelligence – section AI in Business
This is the list of the most relevant recent professional services:
- PC member of AAAI 2025, PC vice-chair of IEEE Big Data 2024, and PC chair of SEBD 2024
- panelist at the panel entitled “Role of AI in Personalized Medicine and Drug Discovery” at the Open Innovations in Life Sciences (OILS) Conference 2024 organized by Life Science Zurich
- speakers at the three-day symposium “Global Health in the Age of AI,” hosted by Fondazione Giorgio Cini, and organized by Prof. Luciano Floridi.
This is a selected list of my recent publications on these topics:
- Davide Ferrari, Veronica Guidetti, Federica Mandreoli: Multi-Objective Symbolic Regression for Data-Driven Scoring System Management IEEE International Conference on Data Mining (ICDM), Orlando (FL), Dec. 2022. Open source code available on GitHub;
- Fabio Grandi, Federica Mandreoli, Riccardo Martoglia, Wilma Penzo: Unleashing the power of querying streaming data in a temporal database world: A relational algebra approach. Information Systems 103: 101872 (2022);
- Karl Hribernik, Giacomo Cabri, Federica Mandreoli, Gregoris Mentzas: Autonomous, context-aware, adaptive Digital Twins – State of the art and roadmap. Computers in Industry 133: 103508 (2021)
You can find the full list of my publications here, my DBLP entry here, and my Google Scholar profile here.