Pasquale_minervini

Gianluca Moro, Ph.D., is an associate professor in natural language processing, text mining and big data analytics, directing the NLP research group at Bologna’s Cesena campus. He co-organized workshops at major conferences like VLDB, AAMAS, ECIR etc. and has published over 110 papers in leading AI journals and conferences, including AAAI, EMNLP, IJCAI, ECAI, ACL, ICLR, etc., serving also on conference program committees and journal editorial boards. Prof. Moro has led multiple national and international AI projects in partnership with public and private research institutions.

Giacomo Frisoni, Ph.D., is a postdoctoral researcher in Computer Science and Engineering at the University of Bologna. His research interests lie in NLP, LLMs, and GNNs, particularly for medical applications. He has co-authored over 25 papers in prestigious conferences and journals, including ACL, NAACL, EMNLP, and AAAI, receiving two best paper awards. He has served in various scientific roles, including session chair, program committee member, editorial board member, and workshop organizer for many international venues.

Luca Ragazzi, Ph.D. (2024), is a postdoctoral researcher in Computer Science and Engineering at the University of Bologna, specializing in NLP for impactful domains such as law and biomedicine. He has presented numerous papers at top international conferences including AAAI, ACL, EMNLP, and ICLR, chaired a session at AAAI 2023 in Washington, and completed an internship at EURECOM, France. He also serves as Reviewing Editor for Springer Nature and Area Chair for ACL ARR.

Alessio Cocchieri is a final-year Ph.D. student in Computer Science and Engineering at the University of Bologna. His research focuses on large language model evaluation and reliability, as well as low-resource and efficient NLP, with a particular emphasis on healthcare applications. He has completed two research internships at IBM Research, which helped strengthen his research skills and broaden his experience with LLMs. His work has led to 10+ peer-reviewed publications at major NLP conferences, including ACL, NAACL, EACL, and EMNLP.

Lorenzo Molfetta received his B.S. degree in Computer Science and M.S. degree in Artificial Intelligence from the University of Bologna, Italy, in 2021 and 2023. He is currently a Ph.D. student at the Department of Computer Science and Engineering, University of Bologna. His research activity mainly focuses on knowledge representation learning and neural reasoning.

Giovanni Pio Delvecchio received his B.S. degree in Computer Science from the University of Bari in 2021 and M.S. degree in Artificial Intelligence from the University of Bologna in 2024. He developed his M.S. thesis at the National Institute of Informatics in Tokyo. He is currently a Ph.D. student at the Department of Computer Science and Engineering, University of Bologna.

Stefano Fantazzini received his B.S. degree in Computer Science and M.S. degree in Artificial Intelligence from the University of Bologna, Italy, in 2021 and 2024. He is currently a Ph.D. student at the Department of Computer Science and Engineering, University of Bologna. His research activity mainly focuses on generative language models concentrated on model's compliance.

Davide Freddi is a Ph.D. student at the University of Bologna, where he explores the intersection of reinforcement learning, generative language models, and low-resource regimes. He earned both his B.S. in Computer Science and Engineering and M.S. in Artificial Intelligence with honors from the same university. His early research has been showcased at venues such as ACL 2021 and ICLR 2024.

Francesco Zangrillo earned his BSc in Computer Science from the University of Naples Federico II (2021) and an MSc in Artificial Intelligence from the University of Bologna (2024). Now he is a PhD student at the University of Bologna. His research explores neurosymbolic representations in generative language models, focusing on legal and administrative applications with AI agents.

Yiran Zeng earned his M.S. degree in Artificial Intelligence from the University of Bologna, Italy, in 2024. He is currently a Ph.D. student in the Department of Computer Science and Engineering at the University of Bologna. His research primarily centers on knowledge graph representation learning and knowledge grounding using large language models.

Claudio Sartori is a Full Professor in the Department of Computer Science and Engineering at the University of Bologna. His research covers data mining, machine learning, data science and quantum machine learning, with a focus on extracting knowledge from data. He is also the scientific director of the Master in Data Science offered by Bologna Business School and the University of Bologna.

Stefano Lodi is an Associate Professor in the Department of Computer Science and Engineering at the University of Bologna. He earned a degree in Electronic Engineering in 1988 and a PhD in Computer Science and Electronic Engineering in 1993 at the same university. His teaching includes computer science foundations, information systems and information systems for decision support.

Antonella Carbonaro is an Associate Professor in the Department of Computer Science and Engineering at the University of Bologna. She holds a PhD in Intelligent Artificial Systems from the University of Ancona. Her research studies data and knowledge modeling, including the representation of entities and their relationships, with applications to healthcare. Her current projects include digital prevention and knowledge graphs for cancer research.

Giuseppe Tagliavini is a tenure-track researcher in the Department of Computer Science and Engineering at the University of Bologna. He earned his MSc in Computer Engineering in 2010 and his PhD in Electronic Engineering in 2017 at the same university. His academic work is in information processing systems.

Ilaria Bartolini is a Full Professor of Multimedia Data Management in the Department of Computer Science and Engineering at the University of Bologna. Her research addresses the retrieval, analysis and organization of multimedia data, including similarity search and the learning of user preferences. She leads research activities within the MultiMedia DataBase Group at DISI.

Marco Antonio Boschetti is a Full Professor of Operational Research in the Department of Mathematics at the University of Bologna. He received his PhD in Operational Research from Imperial College London in 1999. His research develops optimization models and algorithms for complex problems in management and computer science, including logistics, production, project management and mobility.

Zaiqiao Meng researches natural language processing, information retrieval and knowledge graphs, with a particular focus on biomedical applications. He received his PhD in Computer Science from Sun Yat-sen University in 2018 and has held research positions at the universities of Glasgow and Cambridge. His work includes knowledge extraction, representation and reasoning with language models.

Paolo Papotti is a Professor in the Data Science Department at EURECOM, France. He received his PhD from Roma Tre University in 2007 and previously worked at the Qatar Computing Research Institute and Arizona State University. His research spans data management and natural language processing, with particular interests in data integration and information quality.

Pasquale Minervini is a Lecturer in Natural Language Processing at the School of Informatics, University of Edinburgh, and an ELLIS Scholar. His research interests include knowledge-intensive natural language processing, relational learning, neuro-symbolic models and data-efficient, robust deep learning. He is also a co-founder and CTO of Miniml.AI.

Paolo Italiani received the B.S. and M.S. degrees in Statistical Sciences from the University of Bologna, Italy, in 2019 and 2022. He worked with the group from 2022 to 2026 as a PhD student in the Department of Computer Science and Engineering at the University of Bologna, with a scholarship co-funded by Maggioli Group. His research focuses on generative language models and legal applications.

Nicola Poggialini received the B.S. degree (with honors) in Statistics at the University of Florence in 2019 and the M.S. degree in Artificial Intelligence at the University of Bologna. Since 2022, he was a research fellow in NLP for the Department of Computer Science and Engineering at the University of Bologna with a special focus on topic modeling and semantic parsing.

Stefano Salvatori received the B.S. degree and M.S. degree with honors in computer science and engineering from the University of Bologna, Italy, in 2018 and 2021. His research interests include natural language processing, information retrieval, vision-language models and their applications. He is the author of several papers published and presented at international conferences such as AAAI and SISAP.

Lorenzo Valgimigli received his Ph.D. in Computer Science and Engineering from the University of Bologna in 2024 (scholarship funded by Maggioli Group). His contributions to AI and NLP are evidenced by publications in esteemed conferences like AAAI, ACL, ECAI, and EMNLP, advancing machine language processing to enhance AI’s human-like interaction capabilities.