Inconsistent Data Processing Professors and Supervisors in Italy

Antonella PoggiView profile

Associate Professor

Sapienza University of RomeItaly

Antonella Poggi is an Associate Professor in the Department of Computer, Control and Management Engineering (DIAG) at Sapienza University of Rome, holding the position in Computer Science and Engineering (IINF-05/A). She recently obtained the National Scientific Qualification as full professor in July 2024. Her research interests include: Database theory, data integration, and exchange Knowledge representation and reasoning Ontologies, knowledge graphs, and Description Logics Data governance and personal information management Metamodeling and semi-structured data Recent publications (2021-2025) demonstrate a consistent focus on ontology-based data access, with key contributions in query answering, data abstraction, and knowledge graph semantics. Her work bridges theoretical foundations with practical applications, as evidenced by co-founding OBDA Systems Srl. Dr. Poggi has led the MODEUS research project (MIUR SIR) and participated in international collaborations. She is an active member of the academic community, serving as General Chair for IRCDL 2024 and CIKM 2026, and Program Co-Chair for multiple conferences including KEOD and ODOCH. Her academic service includes extensive program committee memberships for top conferences (ICDT, EDBT, AAAI, etc.) and leadership in organizing workshops and conferences in digital libraries and knowledge engineering.

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Matteo BrunelliView profile

Associate Professor

University of TrentoItaly

Matteo Brunelli is Associate Professor of “Mathematical Methods of Economics and Actuarial and Financial Sciences” at the University of Trento , Department of Industrial Engineering, and Adjunct Professor (docent) at Lappeenranta University of Technology , Finland. He is nationally habilitated as Full Professor in Italy and has held long-term visiting positions at Berkeley, Turku, Auckland, JAIST and Binghamton. Education: Ph.D. (Doctor of Science) in Information Technologies, Åbo Akademi University, Finland, 2011 – graded Eximia cum laude approbatur M.Sc. in Economics, University of Trento, 2007 – grade 110/110 cum laude B.Sc. in Economics, University of Trento, 2005 Research focus: Brunelli’s work sits at the intersection of multi-criteria decision analysis , operations research and computational optimisation . He develops axiomatic foundations and algorithms for pairwise comparison matrices , consistency indices , the best-worst method and fuzzy preference relations , and applies them to energy planning, sustainable inventory, maintenance scheduling, 3-D printer selection, and blockchain governance. His 2023-2025 articles reveal intensified interest in uncertainty modelling (Dempster-Shafer theory), bi-objective optimisation of inventory and maintenance, and group decision protocols that integrate probabilistic or active-learning components, demonstrating both methodological depth and practical relevance. Scientific awards & grants: Academy of Finland Postdoctoral Researcher grant (€254 670, 2014-2017) Claudio Dematté Research Grant (€19 000, 2008) Teacher of the Year Award, Aalto University (2013 – both Spring & Autumn semesters) Bernard Roy Award 2021 for outstanding contribution to Multiple Criteria Decision Aiding (under-40 category) Supervision & funding: While specific doctoral students are not listed, Brunelli currently supervises graduate theses at Trento and has continuously held competitive national grants. His Academy of Finland project “Consistency of valued preference relations for decision analytics methods” financed three years of full-time research and international collaboration. Editorial & community roles: He serves on the editorial boards of International Journal of General Systems and Mathematical and Computational Applications , and acts as area editor for Journal of Multi-Criteria Decision Analysis , positioning him among the key gatekeepers of the MCDA community.

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Fabrizio RiguzziView profile

Professor

University of FerraraItaly

Fabrizio Riguzzi is a Full Professor at the Department of Mathematics and Computer Science of the University of Ferrara, Italy. His academic career spans over two decades at the same institution, having served as Associate Professor (2014-2020) and Assistant Professor/Ricercatore (1999-2014). He is an active researcher in the fields of Logic Programming and Statistical Relational Artificial Intelligence with numerous publications and leadership roles in international conferences. His educational background includes: PhD in Electronic and Computer Engineering from the University of Bologna (1999) Laurea in Computer Engineering from the University of Bologna (1995) Riguzzi's research focuses on probabilistic approaches to artificial intelligence, particularly probabilistic logic programming and statistical relational AI. His work bridges symbolic reasoning with probabilistic methods, developing frameworks for uncertain knowledge representation and reasoning. He has made significant contributions to probabilistic answer set programming, neuro-symbolic integration, and applications in areas like network intrusion detection and knowledge graph completion. His research demonstrates how logical formalisms can be enhanced with probabilistic reasoning to tackle real-world problems with uncertainty. An analysis of his recent publications reveals a strong trend toward integrating neural and symbolic approaches in AI, with significant work on probabilistic answer set programming frameworks. His research spans theoretical foundations of probabilistic logic programming, practical implementations, and applications in cybersecurity, knowledge graphs, and decision-making under uncertainty. The interdisciplinary nature of his work connects computer science theory with practical AI applications. His notable awards include: Alain Colmerauer 10-Year Test-of-Time Award at ICLP 2021 Best Paper Award for "BUNDLE: A Reasoner for Probabilistic Ontologies" at RR-2013 Highly Commended Paper Award for "Probabilistic declarative process mining" at KSEM 2010 Riguzzi has supervised several PhD students to completion, including Elena Bellodi, Riccardo Zese, and Giuseppe Cota, who have gone on to win prestigious awards for their theses. He has served in numerous editorial roles, including Associate Editor of the Journal of Artificial Intelligence Research and Editor in Chief of Intelligenza Artificiale. His leadership extends to organizing major conferences like ILP 2018 and serving on program committees for top AI venues including IJCAI, AAAI, and ECAI. He is a member of the ML@unife research group and has developed several online systems including cplint, TRILL, and an Online AUC calculator. His work has fostered collaborations across the AI research community, particularly in the areas of probabilistic logic programming and neuro-symbolic AI.

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Riccardo RosatiView profile

Professor

Sapienza University of RomeItaly

Riccardo Rosati is a Full Professor at the Department of Computer, Control, and Management Engineering, Sapienza University of Rome, affiliated with the Faculty of Information Engineering, Computer Science and Statistics. He obtained his PhD in Computer Science from Sapienza University of Rome in 1997. His research focuses on Knowledge Representation, Description Logics, Semantic Web, Ontologies, Information Integration, Databases, and Artificial Intelligence. Specifically, he has made significant contributions to the integration of description logics and logic programming, and is one of the creators of the DL-Lite family of description logics, which became a standard in the Semantic Web (OWL 2 QL). His recent publications center around controlled query evaluation, ontology-based data access, and applying knowledge representation in healthcare informatics. The trend shows strong emphasis on both theoretical foundations and practical applications. Scientific awards and recognitions include: Distinguished Paper Award at IJCAI 2024 AAAI 2021 Classic Paper Award He has advised numerous students and been involved in research projects including OPTIQUE (Scalable End-user Access to Big Data), ACSI (Artifact-Centric Service Interoperation), TONES (Thinking Ontologies), INFOMIX (boosting information integration), QuOnto (Querying Ontologies), and HYPER (How Your Peers Exchange Resources). He leads the Artificial Intelligence and Knowledge Representation research group and collaborates with the Data Management and Service-Oriented Computing group at DIAG.

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Filip AgneessensView profile

Lecturer

University of TrentoItaly

Filip Agneessens serves as a Teaching Fellow in the Department of Sociology and Social Research at the University of Trento, Italy, with contact details including office location at Via Verdi, 26 - 38122 Trento and email filip.agneessens@unitn.it. His academic role focuses on advancing social network methodologies within sociological and organizational contexts. His research expertise encompasses Group dynamics, Social network analysis, Organizational behavior, and Diversity management, with particular emphasis on negative ties in networks, ethnic diversity effects, and methodological innovations for workplace network studies. This interdisciplinary focus bridges sociology, psychology, and organizational science to examine how network structures shape group processes and individual outcomes. Agneessens' recent publications reveal consistent scholarly contributions in social network analysis across domains including education (e.g., bullying dynamics in schools), public administration (governance networks), and organizational behavior (workplace conflict). His work demonstrates methodological leadership through the 2022 book Analyzing Social Networks Using R and empirical studies applying longitudinal and multilevel network approaches to real-world group phenomena.

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Sergio GrecoView profile

Professor

University of CalabriaItaly

Sergio Greco is Full Professor at University of Calabria's DIMES Department, Coordinator of the Computer Engineering Degree, and Vice-president of the Computer Engineering national Group. His research spans database theory, data integration, inconsistent data processing, and computational logic. Research Focus: Development of theoretical frameworks for data management including argumentation frameworks, knowledge base querying under inconsistency, and decentralized learning systems. Recent work integrates machine learning with formal reasoning methods. Honors: Best Paper Award at International Conference on Logic Programming (2020) Best Paper Award at RuleML Symposium (2014) Leads projects on cybersecurity and data management funded by EU and Italian Ministry of Research, coordinating national and international research groups.

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Domenico LemboView profile

Professor

Sapienza University of RomeItaly

Domenico Lembo is a Full Professor at Sapienza University of Rome, affiliated with the Department of Computer, Automatic and Management Engineering. He is a leading figure in Knowledge Representation and Reasoning, focusing on Description Logics, Semantic Web, and Ontology-Based Data Access (OBDA). His research spans information integration, inconsistency-tolerance, and controlled query evaluation, with significant contributions to theoretical and applied data management. Academic Roles: Full Professor (since 2004), Program Committee Chair for major AI/DB conferences (IJCAI, AAAI, ISWC), Co-founder of OBDA Systems startup Leadership: Head of CAIRNE Rome Office (since 2023), General Chair of SEBD 2025, Vice-President of RR Conference Steering Committee Research Interests: Lembo's work bridges Description Logics with database theory, enabling efficient query answering over inconsistent data. He pioneered DL-Lite framework for tractable ontologies, developed tools like MASTRO and Graphol for visual ontology modeling, and advanced controlled query evaluation with epistemic policies for privacy-preserving systems. Awards: 2021 AAAI Classic Paper Award for DL-Lite 2024 IJCAI Distinguished Paper Award 2020 ISWC Best Poster/Demo Award Exceptional Guest Editor, Semantic Web Journal (2014) Teaching: He teaches courses on databases, data science, and computer science fundamentals. Currently coordinating 'Fondamenti di Programmazione I' and 'Data Management for Data Science', with extensive experience in course design and educational innovation.

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Ester ZUMPANOView profile

Associate Professor

University of CalabriaItaly

Ester Zumpano is an Associate Professor of Computer Engineering at the Faculty of Engineering, University of Calabria (DIMES Department). Her research focuses on logic programming, database theory, artificial intelligence, and P2P systems. Key research areas include: Logic Programs with Preferences Inconsistent Databases View Updating P2P Data Integration Artificial Intelligence Applications Semantic Web Technologies She has served on program committees for major database conferences, authored over 70 publications, and received the best paper award at ICLP 2006. Her work spans academic collaborations across Italy, USA, Netherlands, and Romania, with involvement in projects like PRIN, ESF, and PIA.

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