Projects

• PNRR - M4C2 - Investimento 1.3, Partenariato Esteso PE00000013 - "FAIR - Future Artificial Intelligence Research" - Spoke 1 "Human-centered AI", funded by the European Commission under the NextGeneration EU programme.
• National Center for Sustainable Mobility MOST/Spoke10, funded by the Italian Ministry of University and Research in the fraemwork of the National Recovery and Resilience Plan.
• Responsabile scientifico del progetto “Approcci data-driven e di intelligenza artificiale per industria 4.0” oggetto di un contratto in conto terzi con l’azienda Koerber Tissue.
• EXPERIENCE E.U. project: Generating Virtual Reality environment from personal neurophysiological data to constitute the person’s extended-personal reality.
• Intelligent Data Analysis algorithms for monitoring mono and multi-agent systems: Digital Applications in the Tissue Industry, funded by Fabio Perini – Körber Tissue
• gSmart: IoT-enabled operational intelligence. The gSmart project consists of the realization of an innovative system of Smart Mobility and an automated systems in the context of Industry 4.0. Such project involves some of the main Tuscan research centers: the Scuola Superiore S. Anna and the Faculty of Engineering of Pisa. My collaboration address the design and development of the software architecture devoted to the analysis of the data.
• INTESA, "Servizi Ict iNTegrati per il bEnessere di Soggetti frAgili”, co-funded by the Region of Tuscany in the program for the Underutilized Areas Fund (PAR FAS 2007-2013) and the Fund for Research Facilities (FAR) of the Ministry of Education, University and Research (MIUR). My contribution to the project consists in testing a system based on machine learning for the monitoring of sleep quality, and in the publication of the obtained results.
• PRA 2016 “Analysis of Sensory Data: from Traditional Sensors to Social Sensors”, funded by the University of Pisa. The project addressed the research and development of a system of analysis of data taken from wearable systems (e.g. smartwatches). My collaboration addressed the publications of the results achieved by analysing user’s physiological signals (accelerometer, pedometer, and heartbeat) with the aim of recognizing microbehaviors (e.g. activity), macrobehaviors (e.g. level of physical activity) and anomalies. I contributed in the publication of the obtained results.
• SCIADRO “Coordinating swarms of drones in collaborative sensing via stigmergy”, funded by the Tuscany region. The SCIADRO project was coordinated by IDS (Ingegneria Dei Sistemi), in collaboration with the University of Pisa and the CNR-ISTI Institute. The project addressed the research and development of an autonomous coordination and remote sensing system based on swarm of drones. My collaboration addressed the design of the autonomous coordination schema, its experimentation and the publication of the achieved results.
• MIT - UNIPI 2015 “Stigmergic Footprint of Radical Innovations for Smart Specialization in North-American and European Regions: The Case of the Key Enabling Technologies”, was an international research project funded by MISTI fund. The project was in collaboration between the DESTEC and DII departments of the University of Pisa and the team of Professor Scott Stern of the M.I.T. Sloan School of Management, Boston. My collaboration addressed the design of a novel computational approach for the analysis of innovation indicators’ trend.

Committees and Editorial roles

• Associate Editor for Expert Systems With Applications
• Lead Guest Editor for the Special Issue “Granular Computing for eXplainable artificial intelligence”, Cognitive Computation
• Topic Editor per Eletronics (MDPI)
• Member of the Program Committee of SBP-BRiMS 2022, the 2022 International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation.
• Member of the Program Committee of SBP-BRiMS 2021, the 2021 International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation.
• Member of the Program Committee of SBP-BRiMS 2020, the 2020 International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction and Behavior Representation in Modeling and Simulation.

Reviewer for International Scientific Journals

• Philosophical Transactions of the Royal Society, IEEE Transactions on Network Science and Engineering, Journal of Ambient Intelligence and Humanized Computing, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Intelligent Transportation Systems, Business Process Management Journal, IEEE Transactions on Industrial Electronics, IEEE Transactions on Computational Social Systems, Granular Computing, Applied science (MDPI), Soft Computing, Electronics (MDPI), International Journal of Distributed Sensor Networks, Drones (MDPI), Journal of Intelligent Manufacturing, Complexity (HINDAWI), Autonomous Robots, Sensor (MDPI).

Participation to Scientific Conferences

• 5’ workshop in “eXplaining Knowledge Discovery in Data Mining”, 18 September 2023, Torino, Italy.
• International Conference on Neural Computation Theory and Applications (NCTA 2022), Oct 24, 2022 - Oct 26, 2022, Valletta, Malta.
• Session Chair for the session “Machine Learning Methods I” of the International Conference on Pattern Recognition Applications and Methods – ICPRAM, 24-26 Febbraio 2024, Rome (Italy).
• The 14th International Joint Conference on Computational Intelligence (2022)
• The 5th Conference on scientific analysis of mobile phone datasets (NetMob 2017), organized by F. Calabrese, E. Moro, V. Blondlel, A. Pentland. 5-7 April 2017, Milan, Italy.
• The 10th International Conference on Social, Cultural, and Behavioral Modeling (SBP-BRiMS 2017). July 5-8, 2017, Washington, DC, USA.
• The 4th Italian Conference on ICT for Smart Cities and Communities. 19-21 September 2018, L’Aquila, Italy.
• The 9th International Conference on Complex Systems. 22-27 July 2018, Cambridge, MA, USA.

Research challenges

• Data for Refugees in Turkey - D4R Data Challenge (2018). “Data For Refugees in Turkey” is a Big Data Challenge organized by Turk Telekom, University of Bogazici and Tübitak in collaboration with UNICEF, International Organization for Migration, United Nations Agency for Refugees (UNHCR), Data-Pop Alliance, MIT Media Lab and Bruno Kessler Foundation. In this challenge, Türk Telekom provided a large dataset of mobile phone use of Syrian refugees in Turkey, with the aim of providing insights on how to improve their integration. I evaluated the effects of sharing urban spaces with the local population and the effect of social frictions.

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