Panel Discussion

Panel on Mobility:

“The Human Mobility ecosystem in the era of AI”

5 December 2024 (afternoon)

Panel Chair & Moderator

Anna Monreale is an associate professor at the Computer Science Department of the University of Pisa and a member of the Knowledge Discovery and Data Mining Laboratory (KDD-Lab), a joint research group with the Information Science and Technology Institute of the National Research Council in Pisa. Her research interests include big data analytics, social networks and the privacy issues raising in mining these kinds of social and human sensitive data. In particular, she is interested in the evaluation of privacy risks during analytical processes and in the design of privacy-by-design technologies in the era of big data.

Panel Speakers:

Gil Sampaio is an R&D Engineer at the Centre for Power and Energy Systems at INESC TEC in Portugal, where he leads the Network Operation, Management & Automation division.

His expertise in electrical engineering, optimization, and data-driven approaches has led to the development of solutions now adopted by industry partners, reflecting his dedication to bridging the gap between academic research and practical application.

In addition to working on high-impact international projects in renewable energy and electric mobility, Gil also teaches courses on power systems and smart grids at Universidade Lusófona do Porto.

Michela Natilli Statistician, graduated in Statistics and Economics at University of Siena. She got a master of Science (M.Sc.) from University of Pisa in Big Data Analytics and Social Mining in 2015. Her work focuses on applied data science with particular interests in the design and development of Big Data Analytics experiments for defining and monitoring statistical indicators for complex social phenomena also in a gender perspective. She is the Research Infrastructure Manager of SoBigData.it and she is in the management team of the SoBigData Research Infrastructure, the European Research Infrastructure for Big Data and Social Mining.

Roberto Trasarti is a senior researcher and data scientist with a focus on mobility data analysis and behavioral patterns. He currently works at the National Research Council of Italy (CNR) and has contributed to numerous international research projects, specializing in the use of Big Data to understand social phenomena. With several scientific publications, Trasarti is a recognized expert in the field of complex data analysis and applied artificial intelligence, machine learning, data mining and automatic reasoning. He is member of Knowledge Discovery and Delivery Laboratory, and coordinator of the SoBigData Research Infrastructure (www.sobigdata.eu) and its related projects: SoBigData++ (H2020 GA n.871042) , SoBigData PPP (HORIZON-INFRA ESFRI N.101079043) and SoBigData.it (Italian RRNP n.0000013).

Simone Centellegher is a researcher at Fondazione Bruno Kessler (Trento, Italy), part of the Mobile and Social Computing Lab (MobS). Holding a Ph.D. in Computer Science from the University of Trento, his research lies at the intersection of computational social science, network science and human behavior analysis. He specializes in leveraging large-scale mobile phone data to study mobility patterns and uncover insights into societal and individual dynamics. Recent work includes analyzing urban mobility during COVID-19, understanding the impact of unemployment on mobility, and enhancing out-of-routine mobility predictability. He has contributed to scientific committees for conferences such as IC2S2, CCS, and CS2Italy.

Luca Pappalardo, born in sunny Salerno, Italy, is a senior researcher at the National Research Council of Italy (CNR) and an associate professor at Scuola Normale Superiore of Pisa. With a degree in Computer Science, Luca started exploring massive datasets of human movements, publishing several papers on human mobility analysis and modelling, some of which became classics of the field. In a natural evolution of his research trajectory, Luca shifted focus to the pressing issue of urban congestion, pioneering efforts centered on designing innovative routing strategies that balance individual travel optimization with the collective well-being of a city. Luca is now broadening his scope to address the profound impact of AI on complex systems in realms like social media, conversational systems, online retail and, of course, urban environments. His overarching goal is to design next-generation algorithms that balance the individual needs of users with broader collective objectives using tools at the intersection of computer science, network science, and computational social science.

Passionate about art and history, Matteo Carini graduated as a Computer Science Engineer at Politecnico di Milano in 2013, with a M.SC in Complex Software Systems and Vehicle Automation. He worked as a Software and Solution Engineer and, during his experience at Avaya, he distinguished himself as a Presales and Solution Engineer. Starting his journey as a Technical Sales Associate in 2017, over time he advanced to the role of Senior Sales Engineer, taking on the responsibility of a wider international area (West, East & South Europe). in this role He led strategic projects that seamlessly integrated AI into CRM processes for enhanced Customer Engagement.

Matteo currently works as AI Technology Consultant & Presales Engineer at Almawave, a company within the Almaviva group specializing in Artificial Intelligence, Data & Location Intelligence. Here he continues to cover the italian and international market (EMEA), designing innovative solutions powered by AI services. Matteo’s focus is mainly on the Public Sector and the Energy & Utilities markets