Ruggero Pagnan is a Contract Professor at the University of Genoa. His research focuses on educational effectiveness, particularly in distance learning and remedial education programs. He has collaborated on the PER.S.E.O. project analyzing the efficacy of self-directed learning paths for fulfilling university access requirements. Recent publications (2022-2023) concentrate on assessing the impact of digital remedial courses for university access competencies. Earlier work (2016) explored complex logical puzzles' educational applications. No formal academic awards are listed. His professional activities include curriculum development for competency-based education and digital learning environment evaluation.
Maria LUSIANI is an Adjunct Professor at the Department of Management, Ca' Foscari University of Venice. Her research focuses on cultural management, strategic planning, accounting history, and nonprofit organizations. She teaches courses such as *Cultural Policies*, *Strategy Planning and Control Systems*, and *Management of Artistic and Cultural Organizations*. Her work combines historical analysis with contemporary organizational challenges, particularly in cultural heritage and nonprofit sectors. Recent publications explore topics like Venetian charitable accounting practices, hybrid institutional logics in historical social entities, and regional cultural observatories. She contributes to interdisciplinary projects through the Interconnected Nord-Est Innovation Ecosystem, emphasizing practical applications of research in cultural governance and policy. Lusiani's teaching spans undergraduate and graduate programs, including courses at the Collegio Internazionale and specialized master's tracks in cultural economics. Her office hours are held weekly via reservation, reflecting her commitment to academic engagement.
Violetta Lonati is an Assistant Professor at the University of Milan 's Department of Computer Science since 2005. Her research spans Formal Languages and Automata (operator precedence languages, Wang automata, tiling systems) and Computer Science Education . She co-authored over 15 publications in theoretical computer science and education, focusing on 2D language recognition, logic characterization of automata, and pattern statistics in stochastic models. Education : PhD in Computer Science (2005) and Laurea in Mathematics (2001) from University of Milan Research Groups : ALaDDIn Lab for Didactics and Dissemination of Informatics, Bebras International Initiative Her work on Wang automata established their equivalence to tiling systems while introducing deterministic variants. In education, she designed workshops for schools and contributed to Italy's national computing curriculum proposal (2019). She held leadership roles at ACM ITiCSE (WG5 leader 2022), served as Associate Program Chair (2019-2022), and reviewed for top venues like ICER and SIGCSE TS. She received Google CS[4]HS and Informatics Europe awards for her educational contributions. Key Publications (2017-2001): Input-driven locally parsable languages (TCS 2017) Operator precedence logic characterization (SICOMP 2015) Snake-deterministic tiling systems (MFCS 2009) Graph fibrations and PageRank (RAIRO 2006) Pattern statistics in rational models (STACS 2005) Scientific awards include Google CS[4]HS (2011, 2017, 2019) and the Informatics Europe Best Practices in Education (2016). As part of ALaDDIn, she developed teacher training programs and graduate courses on computing education. Her teaching experience covers Algorithms & Data Structures (2013-2023), Computer Science Teaching (2014-2023), and courses for Biotechnology and Geological Sciences programs (2005-2007).
Stefano Ferilli is a Professor of Computer Science at the University of Bari, Italy, where he leads the ARA (Apprendimento e Ragionamento Automatico) research lab within the Department of Computer Science. His academic roles include former Director of the Interdepartmental Center for Logic and Applications (CILA) and current head of the Artificial Intelligence & Intelligent Systems node in the CINI national laboratory. He holds a PhD in Computer Science and has been a key figure in advancing machine learning, logic programming, and digital library technologies. Education: Laurea (MSc equivalent) in Information Sciences (1996), Specialist Laurea in Computer Science (2003), and PhD in Computer Science (2001). His research focuses on foundational aspects of machine learning, multi-strategy reasoning, process mining, and applications in cultural heritage, bioinformatics, and smart environments. Research Contributions: Developed frameworks like INTHELEX (incremental theory learner), WoMan (process mining), and DoMInUS (document management). Over 370 publications, including a Springer monograph and multiple award-winning papers. Active in organizing conferences like ECML-PKDD, ICDM, and IRCDL, and serves on editorial boards of journals like Information Sciences . Projects: Led or participated in over 30 national and European projects, including EU-funded initiatives on digital libraries (COLLATE, DELOS) and AI applications. Collaborates with industries like Samsung and institutions like the Italian Police for traffic analysis and cultural heritage preservation. Awards: Recognized for outstanding peer review (MDPI, ECMLPKDD), best paper awards, and contributions to AI education and cultural heritage. Member of prestigious associations like AI*IA (Italian AI Society) and AICA (Italian Computing Society).
Enrico Franconi is a tenured full Professor in the Faculty of Engineering at the Free University of Bozen-Bolzano, Italy. He is the founder and director of the KRDB Research Centre for Knowledge-based Artificial Intelligence, established in 2002. His research focuses on applying database, AI, and semantic technologies to address challenges in information systems design, data integration, and big data analysis. He holds leadership roles including former Vice-Rector for Research (2005-2006) and director of the European Masters Program in Computational Logic (2004-2019). His academic contributions span Description Logics, knowledge representation, and ontology engineering, with a strong emphasis on theoretical foundations and practical applications. He has led numerous EU-funded projects, including ONTORULE and SeWAsIE, and contributed to international conferences as a program committee member and keynote speaker. His work bridges theory and practice, aiming to translate foundational results into real-world solutions. He is a prolific author with an h-index of 42 and has mentored researchers in areas like semantic web technologies and conceptual modeling. Key achievements include advancing ontology-driven data integration, developing tools like ICOM for conceptual modeling, and contributing to standards for semantic web languages. He is affiliated with the Computational Logic community and actively participates in international research networks such as CAIRNE. His research has been recognized through ANVUR evaluations ranking his department among Italy’s top computer science faculties.
Carlo Combi is a Full Professor at the Department of Computer Science, University of Verona. He serves as Department Director and holds roles in various academic committees, including the Faculty Board of PhD in Computer Science and the Computer Science Teaching Committee. His research focuses on databases, healthcare information systems, temporal data mining, and business process management. He leads the STARS laboratory and has contributed to projects like PREPARE (prostate cancer evaluation) and EDIPO (neuroimaging genetics). His teaching spans courses on biomedical databases, software engineering, and Python programming. Combi's work integrates ethical considerations into process models and addresses challenges in healthcare workflows, temporal analytics, and AI applications in medicine. Education: Not explicitly listed in provided texts. Research Projects: Includes 30+ projects since 2008, emphasizing healthcare informatics, temporal systems, and data warehousing. Labs/Teams: STARS (Semistructured Temporal clinical Geographical Systems) and collaborations with CBMC (Computational Biomedicine Center). Grants: Multiple national/international grants, including funding for temporal data mining and healthcare process modeling. Awards: None explicitly mentioned, though his leadership roles and extensive publications highlight academic recognition. His research bridges clinical processes, temporal databases, and AI, with applications in acute kidney injury prediction, BPMN extensions for healthcare, and explainable AI in medical systems. Combi actively contributes to open-source solutions for clinical data analysis and integrates ethical frameworks into process management.
Ivano Bilenchi is a postdoctoral researcher at the Polytechnic University of Bari's Information Systems Laboratory (SisInf Lab). He holds a Master's in Computer Science Engineering (2020) and a Ph.D. in Electrical and Information Engineering (2024) from the same institution. His research focuses on AI, Semantic Web technologies, edge computing, and IoT applications, with notable contributions to embedded OWL reasoners and cloud-edge intelligence frameworks. He teaches courses such as Formal Languages and Compilers, Secure Programming, and Information Systems Security. His work bridges academic research with practical applications, including iCleaner (iOS system cleaner), Tiny-ME (Semantic Web reasoner), and AI-LMD (fleet optimization tool). He actively participates in conferences like ICWE and I-CiTies, and has contributed to initiatives like the sustainable development project HowtUyoga. His awards include a First Prize at the Sustainable Development Festival (2018). Research highlights include developing Cowl (lightweight OWL library for edge devices) and proposing innovative architectures for cloud-edge AI in sensor networks. Collaborations span semantic blockchain marketplaces (RideMATCHain) and UAV autonomy using knowledge representation.
Paolo Buono is Associate Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. He holds a PhD in Computer Science with specialization in Visual Data Analysis. His research focuses on Information Visualization, Visual Analytics, Human-Computer Interaction, and Mobile Applications. Co-founder and CEO of LARE (2010), a university spinoff providing real-time surgical support through audio-video telestration Member (since 2002) and computer science coordinator at METEA Research Center for environmental protection Visiting scientist at AVIZ (France), University of Maryland (USA), and Fraunhofer IPSI (Germany) His work spans multiple application domains including: Cultural Heritage through interactive exploration systems Healthcare with smart therapeutic devices Environmental Monitoring via CET system IoT-based Smart Interactive Experiences He has contributed to: Dynamic hypergraph visualization techniques End-User Development frameworks (EUDroid) Usability evaluation methodologies Mobile health applications As project leader, he has coordinated: EU-funded VisMaster Coordination Action (2008-2010) Italian Ministry-funded LOGIN project (2014-2015) Apulia Region environmental projects His professional engagements include: Co-chair roles at INTERACT, AVI, IS-EUD conferences Program committee participation in VIS series and HCI conferences Member of ACM, IEEE, and SIGCHI Italy
Giuseppe Contissa is an Associate Professor at the Department of Legal Sciences, University of Bologna. His work focuses on Legal Informatics, AI & Law, Legal Theory, and Law & Technology, particularly in robotics and automated systems. He holds a PhD in Legal Informatics from the University of Bologna and has extensive experience in research projects like ALIAS (air traffic management liability) and CLAUDETTE (AI-driven contract analysis). He is affiliated with ALMA Ai (Human-Centered AI Institute) and ARCES (Electronic Systems Research). Education: PhD in Legal Informatics (2006, University of Bologna), Master's in Legal Informatics (2002), Laurea in Jurisprudence (2001). Research Interests: Computable legal reasoning, AI ethics in healthcare, liability frameworks for autonomous systems, socio-technical systems governance, and automated vehicle regulation. He leads projects on AI certification in aviation and consumer protection through AI systems. Key Projects: CrossJustice (digital criminal procedure rights), SAFELAND (air traffic safety), and COMPULAW (computable law models). He advises the Council of Europe on AI ethics in justice systems. Labs/Teams: CIRSFID (Computer Law Research), ALMA Ai, and collaborations with CodeX (Stanford).
Marianna Nicolosi Asmundo is an Associate Professor of Mathematical Logic (MAT/01) at the Department of Mathematics and Computer Science (DMI) of the University of Catania. She earned her PhD from the same university in 2003 and serves as a proposing member of CINUM - Interdepartmental Center for Humanistic Computing. Teaches undergraduate and graduate programs in Mathematics Master's Degree Programs in Computer Science Textual Sciences for Digital Professions (Department of Humanities) Her research spans automatic deduction, tableaux-based deductive systems, decision procedures in elementary set theory and non-classical logic, interactive theorem proving, knowledge bases, ontologies, and reasoning services for the semantic web. Recent publications emphasize ontology interoperability, blockchain-based knowledge representation, and set-theoretic reasoning frameworks. She contributes to ontologies for cultural heritage (Saint Gall monastery modeling, archaeological Sicilian landscapes) and blockchain applications. Collaborates extensively with researchers like D. Cantone and D.F. Santamaria on description logic systems. Active member of CINUM - Interdepartmental Center for Humanistic Computing Supervises thesis projects on semantic web and blockchain ontologies
Vera Tripodi is an Associate Professor at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino. Her academic career spans multiple institutions including the University of Milan 'La Statale,' University of Turin, University of Barcelona, University of Oslo, and Columbia University. She serves on the Single Guarantee Committee and is actively involved in gender equality initiatives. Dr. Tripodi earned her PhD in Logic and Epistemology from Sapienza University of Rome. Her academic journey includes postdoctoral research positions at prestigious international institutions and a research position at the University of Milan from July 2021 to March 2022. Her research focuses on the intersection of philosophy, technology, and gender. She specializes in bioethics, ethics of technology, feminist philosophy and ethics, and social ontology. Her work addresses critical contemporary issues including climate change ethics, reproductive technologies, AI ethics, and gender equality in philosophy and academia. She has made significant contributions to understanding the ethical dimensions of emerging technologies and their social implications. Dr. Tripodi's publication record demonstrates a consistent focus on ethical frameworks for technological development, gender issues in philosophy and society, and the philosophical implications of medical and technological innovations. Her work bridges theoretical philosophy with practical ethical concerns in rapidly evolving technological landscapes. Vice President of SWIP Italia (Society for Women in Philosophy) for two terms (2018-2021, 2021-2024) Member of the Bioethics Committee since 2019 Member of SIFA (Italian Society of Analytical Philosophy) since 2008 Associate Editor of AESTHETICS MAGAZINE since 2022 Member of the APHEX editorial board since 2010 Dr. Tripodi advises PhD students in philosophy programs at the University of Pavia and University of Eastern Piedmont. She teaches courses on Research Ethics in Dual-Use Technology, Gender and Diversity in Research, Ethics of Technology, and Bio- and Nanotechnologies in Medicine across various engineering programs at Politecnico di Torino. She also serves on course committees for Biomedical Engineering and Electronic, Telecommunications and Physics Engineering programs. She leads the NOW research project (2023-2025) titled 'Understanding Natural History: Nature, Evolution and Human Beings. A New Philosophical Framework' funded through the National Research PRIN program.
Marco Vacca is an Associate Professor in the Department of Electronics and Telecommunications (DET) at Politecnico di Torino and a member of the Interdepartmental Center PIC4SeR - PoliTO Interdepartmental Centre for Service Robotics. His work bridges electronics, nanotechnology, and computing architecture with a focus on innovative solutions to the memory wall problem. His research spans Logic-in-memory computing, Machine learning hardware acceleration, and Nanocomputing with specific emphasis on circuit architectures for probabilistic computing, magnetic devices, hybrid technologies integration, and CAD tools for emerging technologies. Dr. Vacca leads research in RISC-V extensions, hardware accelerators for AI, and autonomous robot systems for agricultural applications through the VLSILAB research group. Recent publications reveal a strong trend toward solving fundamental computing challenges through nanoscale innovations, particularly in memory-centric architectures, molecular field-coupled computing, and novel transistor technologies. His work demonstrates how logic-in-memory approaches can overcome traditional von Neumann limitations while improving energy efficiency for AI workloads. Editorial board member of ELECTRONICS (2021-2023) Program committee member for Design, Automation and Test in Europe Conference (DATE) 2020-2021 Dr. Vacca supervises PhD student Alessandro Varaldi working on 'Hardware AI Accelerators for Automotive Applications' and has led significant research projects including 'Device for Storage and Processing Data and Related Method' (2020-2021) and 'Quantum Computing and Quantum Communication: State of the Art and Applications in the Telco Sector' (2020). His grant portfolio shows strong industry and competitive funding support. As a core member of the VLSILAB research group, Dr. Vacca contributes to advancing VLSI theory and design applications with particular focus on implementing Big Data, Machine Learning, and Neural Networks in specialized hardware architectures that push the boundaries of conventional computing.
Tullio Ceccherini Silberstein is an Associate Professor of Mathematical Analysis in the Department of Engineering at the University of Sannio, Italy. He also maintains an affiliation with the Istituto Nazionale di Alta Matematica 'Francesco Severi' in Rome. His teaching responsibilities include Mathematics courses for Civil Engineering and Energy Engineering programs. His primary research interests span Mathematical Analysis, Group Theory, Cellular Automata, Harmonic Analysis, Representation Theory, and Symbolic Dynamics. His work has significantly contributed to the understanding of the Garden of Eden theorem for cellular automata, finite Gelfand pairs, and ergodic properties of dynamical systems. His research demonstrates strong connections between algebraic structures, combinatorial methods, and dynamical systems. Analysis of his recent publications reveals a continued focus on the intersection of algebraic structures and dynamical systems, with particular emphasis on sofic groups, surjunctivity, and the Garden of Eden theorem across various mathematical contexts. His work shows evolution from foundational studies in cellular automata to increasingly sophisticated applications in group theory and algebraic dynamics. Throughout his career, Ceccherini Silberstein has maintained an active presence in the mathematical community through numerous conference presentations and collaborations, particularly with Michel Coornaert. His work bridges theoretical mathematics with applications in symbolic dynamics and computational group theory.
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.
Corrado Loglisci is an Assistant Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. His research focuses on Temporal Data Mining , Machine Learning , and Quantum Computing , with applications in bioinformatics, medical informatics, and cybersecurity. He earned his Ph.D. in Computer Science with a thesis on temporal projection in longitudinal data. Research Highlights : Temporal Learning, Textual Data Mining, Quantum-Classical Hybrid Systems Collaborations : IRSTEA Research Institute (France), Aristotle University of Thessaloniki (Greece) His publications address dynamic network analysis , emotion detection in social media , and quantum-enhanced classification . He contributes to program committees and journal editorial work, including a special issue on Mining Complex Patterns in the Journal of Intelligent Information Systems . Notable contributions include the jKarma framework for change detection and studies on concept drift robustness in intrusion detection systems. His work spans European/National research projects, leveraging machine learning for tasks like mobile crowd sensing trustworthiness prediction (2020) and investor behavior analysis (2023-2025).
