Ambra Ferrari is a Research Fellow at the Interdepartmental Center for Mind/Brain Sciences (CIMEC) within the University of Trento. Her work focuses on cognitive development, multisensory perception, and neuroimaging techniques. She teaches courses such as Cognitive neuroscience of infant development and contributes to the Cognitive Neuroscience program in the Department of Psychology and Cognitive Sciences. Her research integrates methodologies from neuroscience and psychology to study infant cognition, social development, and sensory integration. She develops computational tools like the WTools MATLAB toolbox for analyzing infant neural data. Ferrari's work bridges developmental psychology, psycholinguistics, and sensory neuroscience, emphasizing how prior expectations guide perception during communication. In teaching, she employs journal clubs and seminars to foster critical analysis of empirical studies and contemporary theories in cognitive development. Her courses aim to equip students with skills to evaluate experimental research and understand neurobiological foundations of cognition. Her laboratory (CIMEC) focuses on adaptive behavior, cross-modal plasticity, and embodied communication. Current projects explore statistical learning mechanisms, attention modulation in multisensory perception, and the role of gesture-prosody interactions in language comprehension.
Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics
Agostino Cortesi is a Full Professor at Ca' Foscari University of Venice , affiliated with the Department of Environmental Sciences, Informatics and Statistics. He serves as Rector's Delegate for Research Quality Assessment and Deputy Coordinator of the Scientific Committee for the Innovation Ecosystem Project. His academic career includes a PhD in Applied Mathematics and Informatics from the University of Padova (1992), a postdoctoral fellowship at Brown University, and visiting professor roles at institutions such as the University of Illinois and École Normale Supérieure Paris. Research interests focus on software engineering , static analysis , security applications , and abstract interpretation . He has pioneered techniques for formal verification of software systems and explored cybersecurity in e-Government and robotics. His work spans over 200 publications in top journals and conferences (e.g., ACM TOPLAS, IEEE TSE, POPL, PLDI). Key contributions include advancements in abstract domains for behavioral property verification and security-oriented analysis frameworks. He has held leadership roles including Vice-Rector at Ca' Foscari, Dean of Computer Science programs, and Chair of the Department of Computer Science. Cortesi coordinates EU Horizon 2020 projects (e.g., Families_Share €1.6M) and regional initiatives like CEVID (€360K). He founded Factors , a university spin-off focused on robotic systems verification, which won the 2020 Veneto SmartCup ICT Prize. Education: PhD in Applied Mathematics and Informatics (1992, University of Padova) Editorial Roles: Co-Editor-in-Chief of Springer’s 'Services and Business Process Reengineering', and member of editorial boards for 'Computer Languages' and others Grants: Over €3M in EU and regional funding for projects in cybersecurity, Industry 4.0, and digital innovation Teaching includes courses on Software Correctness , Data Programming , and Computer Networks across Computer Science and Management programs. His research lab actively engages in industrial partnerships with Cisco, Leonardo, and AGID (Italy’s Digital Agency).
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).
Daniele Fusi is a Lecturer at the Department of Humanities, Ca' Foscari University of Venice, with a focus on Digital Humanities and Computational Philology. He teaches courses on XML databases and digital/public humanities, bridging classical studies with modern technology. University: Ca' Foscari University of Venice Department: Department of Humanities His research spans digital edition frameworks, metrical analysis, and XML markup for classical texts. Recent works explore AI applications in textual dynamics and forensic linguistic tools for legal corpora, demonstrating interdisciplinary approaches between humanities and computer science. Notable projects include: EpiSearch for ancient inscriptions Chiron framework for metrical analysis AttiChiari digital corpus He actively publishes in journals like Journal of Data Mining and Digital Humanities and Rivista di Cultura Classica e Medioevale , with over 20 years of contributions to digital philology, epigraphic databases, and computational linguistics.
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.
Vincenzo Della Mea is an Associate Professor of Information Processing Systems at the University of Udine's Department of Mathematical, Computer and Physical Sciences. His research focuses on medical informatics, digital pathology, biomedical ontologies, and AI applications in healthcare. He holds abilitation to full professorship and is a member of the WHO Italian Collaborating Centre for International Classifications (WHO-FIC), ICHI Task Force, and ESDIP's Executive Board. He leads the EU MSCA Doctoral Network BosomShield (2022-2026) and previously managed the AIDPATH Marie Curie project. As an editor for journals like Digital Health and Journal of Pathology Informatics , he bridges academia and practice. Beyond academia, he is a poet with awards, including the Nelle terre dei Pallavicino Prize for his 2004 collection Algoritmi , and organizes interdisciplinary events merging science and literature. Education & Roles : Holds a professorship in Computer Science and teaches courses on web technologies, medical informatics, and AI across multiple degree programs. Previously served as Vice-President of SIBIM (Italian Biomedical Informatics Society). Research Interests : Specializes in digital pathology, medical AI, telemedicine, and standardization of health classifications like ICD-11 and ICF. His work emphasizes ontology harmonization and machine learning for clinical decision support. Recent Contributions : Published on WHO classification harmonization, AI-driven pathology tools, and energy-sector LLM applications. Active in editorial roles and international collaborations, including the HEROHE Challenge for breast cancer analysis. Awards & Recognition : 2023 – Poetry collection Clone 2.0 (neurally generated) 2005 – Nelle terre dei Pallavicino Award Grants & Projects : Led EU-funded projects (AIDPATH, BosomShield) and contributed to initiatives like the ICD-11 Mortality Coding System. Collaborates with institutions like AcegasApsAmga on AI for utilities. Labs & Initiatives : Involved in digital pathology workflow optimization and educational platforms for medical coding and AI ethics.
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.
Roberto Barbuti is a Full Professor at the Department of Computer Science, University of Pisa. He has held this position since 2000, following roles as Assistant Professor (1982–1989) and Associate Professor (1989–2000). His research focuses on Formal Methods in Systems Biology, Process Algebras, and computational models of biological systems. He leads the research group on Modelling, Simulation and Verification of Biological Systems. Education: Born in San Giuliano Terme (Pisa), Italy, on August 10, 1953, he earned a Master's in Computer Science from the University of Pisa in 1977. He was a Research Fellow at the Istituto per l'Elaborazione dell'Informazione, CNR, Pisa (1977–1982). Teaching: He teaches Programming 1 and Laboratory courses, with detailed exam regulations requiring written and laboratory components. His teaching materials include lecture notes on recursion theory, functional programming in Caml Light, and formal semantics of the C language. Awards and Grants: No specific scientific awards or grants mentioned in the text. Labs/Teams: Leads the research group on biological systems modelling and simulation.
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
Anika Nicolosi is Associate Professor of Greek Language and Literature at the University of Parma , Department of Humanities, Social Sciences and Cultural Enterprises. Since 2020 she has held this rank, having previously served as University Researcher (2008-2020). She has been awarded two National Qualifications for Full Professor (2019) and three for Associate Professor (2013, 2016-2018), covering Greek Language & Literature and Classical & Late-Antique Philology. Education Classical High-School Diploma, L. Ariosto State High School, Reggio Emilia (1997-1998) Laurea (110/110L) in Classical Literature, University of Parma (2002) – thesis in Greek Language & Literature PhD in Greek and Latin Philology, University of Parma (19th cycle) Teaching qualification for secondary-school Latin & Greek Diploma in Archival Science, Paleography and Diplomatics, State Archives of Parma Specialization courses in Papyrology (Lecce & Florence) Research visits: Oxford, Würzburg, Cologne (2004-2006) Research Interests Her scholarship focuses on the history of the Greek language , philological and literary analysis of archaic Greek poetry , Hellenistic and Imperial epigram , Greek theatre , Greek lexicography , and Imperial prose . She is deeply engaged in textual criticism and papyrology , exploring the relations between Greek and Latin literature, and investigating the history of classical philology . Digital approaches to fragmentary poetry and the creation of XML/LOD critical editions constitute an emerging research strand. Recent Publication Trends Between 2022-2025 her output reveals a concentration on archaic iambic and elegiac poetry (Archilochus, Hipponax, Semonides), Hellenistic epigrammatists (Meleager, Hedylus, Strato), and reception studies spanning from Strabo to Botticelli and medieval Latin authors. Cross-generic intertextuality, gendered discourse, and botanical/erotic imagery are recurrent analytical lenses, while digital philology projects (CLARIN-IT, XML editions) foreground methodological innovation. Scientific Awards & Recognition National Scientific Qualification (ASN) for Full Professor (2019, two sectors) National Scientific Qualification (ASN) for Associate Professor (2013, 2016-2018) FFABR 2017 funding for basic research (Italian Ministry) FIL research grants, University of Parma (continuous since 2008) Reviewer for MIUR programs, VQR 2011-2014 & 2015-2019 Member, Editorial Board Eikasmós (Tier A journal) Anonymous referee for multiple Tier A national & international journals Doctoral Training & Grants Since 2024 she sits on the Teaching Board of the PhD Programme in Historical and Textual Sciences (XL cycle, University of Parma); she has been a board member for the PhD in Philological-Literary, Historical-Philosophical and Artistic Sciences (2013-ongoing) and for earlier cycles in Greek and Latin Philology (2008-2012). She has participated in three consecutive PRIN national research projects (2008, 2010-11, 2022) and has been PI of local FIL grants every year since 2008. Laboratory & Outreach Activities She coordinates digital-edition initiatives such as the HT-Archilochus XML archive and CLARIN-IT working groups for ancient Greek fragmentary poetry. As President of the Parma Delegation of the Italian Association of Classical Culture (and former Secretary, 2003-2018), she organizes public lectures, school events, and editorial projects to promote classical studies in the region.
Maria Grazia Cammarota is a full professor of Germanic Philology at the Department of Foreign Languages, Literatures and Cultures, University of Bergamo. She serves as the Department's Quality Policy Officer and coordinates the PhD programs in Linguistic Sciences and in Philological and Linguistic Studies on Written and Oral Heritage. Her research focuses primarily on medieval Germanic traditions with particular expertise in: Old English philology Old and Middle German studies Textual criticism of medieval Germanic literature Translation theory and practice for Germanic texts Comparative analysis of Germanic cultural traditions Professor Cammarota's scholarly output reveals a consistent focus on the translation and interpretation of medieval Germanic texts, with particular attention to the Nibelungenlied , the Tannhäuser legend, and cultural representations of life-death interactions. Her work demonstrates sophisticated engagement with both philological methodology and contemporary translation theory, examining how these texts have been received and adapted across different linguistic and cultural contexts over time. As an academic leader, Professor Cammarota teaches advanced courses on Intercultural Phenomena in the Germanic World, Medieval Germanic Cultures, and Textual Criticism and Transmedial Studies. She coordinates two PhD programs, significantly shaping doctoral research in linguistic and philological studies at the University of Bergamo.
Barbara Carminati is a Professor at the Department of Theoretical and Applied Science, University of Insubria, Italy. Her work focuses on security, privacy, and trust management in decentralized systems, particularly online social networks, IoT, and emerging technologies like blockchain and digital twins. She has contributed extensively to access control, risk assessment, and collaborative frameworks. Her research spans trust modeling , privacy-preserving mechanisms , and malware detection , with a strong emphasis on decentralized social networks and UAV security . She actively explores the application of blockchain for secure workflows and information sharing. Recent publications highlight her engagement with large language models for security optimization, IoT botnet detection , and metadata leakage analysis . Her work bridges theoretical foundations with practical implementations in cybersecurity, social network management, and edge computing. Contact: barbara.carminati@uninsubria.it
Lerina Aversano is an Associate Professor in the Department of Engineering (DING) at the University of Sannio, specializing in Information Processing Systems (ING-INF/05). Her research focuses on the intersection of business processes and information technology, with particular expertise in business/IT alignment, process mining, and machine learning applications. Her research interests include: Business/IT alignment and strategic integration Machine learning and deep learning applications in healthcare diagnostics Process mining and predictive analytics for business processes Software engineering and service-oriented computing Semantic integration of heterogeneous data sources Over her extensive career, Aversano has published 145 research items with a clear evolution from foundational work in business/IT alignment to cutting-edge applications of AI in healthcare and business process management. Her most recent publications demonstrate expertise in explainable AI for process prediction, AI applications in medical diagnosis (including Parkinson's and thyroid diseases), and security for IoT systems, showing her ability to adapt to emerging technologies while maintaining focus on core alignment issues between business needs and technological solutions. She maintains an active research group with frequent collaborations with Mario Luca Bernardi, Marta Cimitile, Martina Iammarino, and Maria Tortorella, producing significant contributions to information systems literature. Her work appears in reputable venues including IEEE conferences, Springer publications, and journals like Information and Software Technology.
