Istituto di scienza e tecnologie dell'Informazione, CNR

Franco Maria Nardini (http://hpc.isti.cnr.it/∼nardini/) is currently a Researcher at ISTI–CNR in Pisa. He received his Ph.D. in Information Engineering from the University of Pisa in 2011 discussing his thesis ``Query Log Mining to Enhance User Experience in Search Engines''. His research interests are focused on Web Information Retrieval, Data Mining, and Machine Learning. Franco Maria Nardini is member of the program committee of important conferences in IR and DM like ACM CIKM, SIGKDD, WSDM, etc.

Researcher at the CNR-IRPPS. Previously, she served as a Research Fellow at the CNR Institute of Information Science and Technologies “A. Faedo” and was a PhD candidate in the National Doctoral Program in Artificial Intelligence and Society, collaborating with the University of Pisa and the University of Bari “Aldo Moro.” Her research focused on Human-Centered Artificial Intelligence, Explainable AI (XAI), and Visual Analytics. She developed a particular interest in XAI interfaces and the role of Visual Analytics in improving the usability of explainable AI systems.

Cosimo Rulli is a researcher at the National Research Council (CNR) in Italy. He obtained his PhD in 2023 from the University of Pisa, with a thesis on deep neural network compression. His research interests include Deep Learning, Model Compression, and Approximate Nearest Neighbor techniques, particularly applied to Information Retrieval. He was awarded the ACM SIGIR 2024 Best Paper Runner-Up prize and the ECIR 2025 Best Student Short Paper award. He is a reviewer for ACM TOIS, IEEE TKDE, and PMC, and serves on the program committee for SIGIR, ECIR, CIKM, and WSDM.

He is a researcher at the ISTI institute of CNR, Pisa. He holds a degree (1996) and a PhD (2001) in Computer Science, both obtained at the Pisa University. His research topics include data mining in general, clustering methods, mobility data analysis and their applications. He participated to several national and international projects, the most recent being PETRA, a UE project centered around mobility in a "smart cities" context. He has been a visiting in a few international institutes, including M.I.T. in Boston and University of New Brunswick in Canada.

Fabio Carrara is a researcher at the Artificial Intelligence for Multimedia and Humanities Laboratory (AIMH, http://aimh.isti.cnr.it/) of the Information Science and Technologies Institute (ISTI) of the Italian CNR in Pisa. He received a Master's Degree and a Ph.D. in Computer Engineering from the University of Pisa (Italy) respectively in 2015 and 2019.

Claudio Gennaro is a researcher at CNR-ISTI. He received a degree in Electronic Engineering from the University of Pisa in 1994 and a Master in Information Technology from CEFRIEL in Milan. He obtained his Ph.D. in Computer and Automatic Engineering in 1999 at the Politecnico di Milano. His main interests are artificial intelligence, deep learning, access structures for multimedia document retrieval, wireless sensor networks, peer-to-peer systems, digital libraries, performance evaluation, and parallel computing. He authored over 100 papers in international journals and conferences.

Fabrizio Falchi is a researcher of the Artificial Intelligence for Multimedia Information Retrieval group of the Networked Multimedia Information Systems lab of ISTI-CNR He has a Ph.D. in Information Engineering from University of Pisa (Italy), and a Ph.D. in Informatics from Faculty of Informatics of Masaryk University of Brno (Czech Republic). He also received an M.B.A. from Scuola Superiore Sant'Anna in Pisa.

Giuseppe Amato obtained his PhD in Computer Science at the University of Dortmund, Germany, in 2002. He is a senior researcher at CNR-ISTI, where he is leads the research group 'Artificial Inttelligence and Multimedia Information Retrieval' (AIMIR - http://aimir.isti.cnr.it/). His main research interests are Artificial Intelligence, content-based research of multimedia documents, large scale similarity search, intelligent camera networks.

Postdoctoral Research Fellow at the High Performance Computing Lab at the ISTI-CNR. PhD in Computer Science at the Federal University of Pernambuco, ­with joint supervision by the University of Pisa. Current research topics include machine learning techniques applied to mobility data for the development of Smart Mobility applications. He has actively collaborated in several Research European Projects involving different areas of Computer Science such as Data Mining, Distributed Computing, and Cloud Computing.

Nicola Tonellotto is researcher at the Information Science and Technologies Institute "A. Faedo" of the National Research Council of Italy. He received his Ph.D. in Information Engineering from the University of Dortmund and the University of Pisa in 2008. His research interests are mainly focused on cloud technologies for data processing and information retrieval infrastructures. He is author of more than 50 papers published on the major conferences and journals of information retrieval and cloud computing.