Research Team

Federica Mandreoli

Associate 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.

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.

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Riccardo Martoglia

Associate Professor

I am currently president of the degree course in computer science of the FIM Department (UniMoRe).

I have been organizer of several conferences and workshops, including GraphQ@EDBT, WETICE, SEBD, and served on the program committees of a number of conferences, such as SEKE, ICEIS, ICITCS, MOBIWIS and GKR. I have also served as editorial board member of recognized international journals, including JUCS, OJDB and EAI Transactions on Pervasive Health and Technology, and has been guest editor of special issues in JCSS (Elsevier) and Springer Nature Computer Science (Springer).

Since 2005, I am part of the International Doctoral School in ICT of his University, where he has been co-tutor of two PhD students. Since 2022, I am part of the of the PhD Program in Computer and Data Science for Technological and Social Innovation (CDS-TSI), where he is tutor of one PhD student.

I have participated in several national and European research projects on issues closely related to the representation, querying and access to data, including: 6 European projects (H2020, FP-7, FP-6 and FP-5), 1 FIRB project, 2 PRIN projects, 1 MIUR 449/97 project, 1 project for the call “Progetti di Ricerca Applicata per l’Innovazione”, 1 FIT-ICT project, 1 POR-FESR project and 1 Industry 2015 project.

Click here to visit my official UniMoRe home page, here to see the complete list of publications.- See more at: https://www.isgroup.unimore.it/members-riccardo.html#sthash.YpovJKey.dpuf

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Veronica Guidetti

Postdoc Researcher

I’m a postdoctorate research fellow at the FIM Department of the University of Modena and Reggio Emilia. Within the FIM Department I collaborate closely with Professor F. Mandreoli, F. Motta and G. Buzzega. Our group is focused on Data Mining and Artificial Intelligence, and their applications in healthcare. I achieved a master (2016) and PhD degree (2021) in Theoretical Physics (FIS-02) at the University of Bologna. From October 2020 to November 2022, I was employed as a postdoc fellow at the Deutsches Elektronen-Synchrotron (DESY) in Hamburg, Germany. My detailed CV can be found at this link . – See more at: https://www.isgroup.unimore.it/members-veronica.html#sthash.uPrbpU2G.dpuf

My research at UniMoRe focuses on interpretable Machine Learning and its applications in high stakes domains, particularly in the medical field. Specifically, together with Professor Mandreoli (UniMoRe) and Davide Ferrari (King’s college, London) we have created a multi-objective symbolic regression method capable of creating and managing non-linear, intelligible…

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Federico Motta

PhD Student

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Luca Mariotti

PhD Student

Biography

I got the Laurea degree in Computer Science from the University of Modena and Reggio Emilia (Italy) in 2022, now I’m a Research Grant Holder at the FIM Department of the University of Modena and Reggio Emilia.

Research interests

My current research context is data management and data analytics. The topics on which I am currently working refer to the contexts of Social Network Analysis and HRM, which use graph data structures for storing information.

You can find the full list of my publications here

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Mattia Billa

PhD Student

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