Large Language Models Professors and Supervisors in Italy

Roberto Basiliمشاهده پروفایل

دانشیار

Campus Bio-Medico University of RomeItaly

Roberto Basili is an Associate Professor in the Department of Computer Science at the University of Roma, Tor Vergata, where he has been a member of the Artificial Intelligence group (ART) since 1991. His academic appointments span both the Faculty of Engineering and the Department of Linguistics, reflecting his interdisciplinary approach to natural language processing and computational linguistics. Professor Basili's research focuses on Natural Language Processing, Machine Learning, Knowledge Representation, and their applications in Information Retrieval and the Semantic Web. His work particularly emphasizes semantic tagging, word sense disambiguation, ontology engineering, and music genre categorization. He leads the ART (Artificial Agent @ Roma Tor Vergata) research group, which develops frameworks for language-driven ontology learning and question answering systems. His publication record shows consistent contributions from the early 1990s through 2006, with recent work emphasizing kernel methods for semantic role labeling, ontology-driven information retrieval, and hierarchical semantic analysis. The research trends indicate a progression from foundational work in lexical acquisition and parsing toward more sophisticated semantic analysis and ontology integration, reflecting the evolution of the NLP field itself. Professor Basili has secured significant research funding through multiple EU Framework Program projects including PrestoSpace (FP6), FF-Poirot (FP5), and MOSES (FP5), as well as NSF grants and Italian national research initiatives (PRIN). These projects demonstrate his ability to lead large-scale collaborative research efforts addressing both theoretical challenges and practical applications in language technology. His teaching responsibilities include courses on Distributed Databases and Information Retrieval, Database Systems, Fundamentals of Programming in the Faculty of Engineering, and Trattamento Automatico delle Lingue (Natural Language Processing) in the Department of Linguistics. This dual appointment underscores his bridging of computer science and linguistic approaches to language processing.

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Daniele Proverbioمشاهده پروفایل

پژوهشگر ارشد

University of TrentoItaly

Daniele Proverbio is a Research Fellow in the Department of Industrial Engineering at the University of Trento, where he teaches the "Mathematical epidemiology - modelling, parametrization and applications" course for PhD students. Previously, he was a Postdoc at the University of Luxembourg and contributed as a modeling consultant to the Luxembourg National COVID-19 taskforce. His educational background includes: PhD in Sciences de l'Ingénieurs with Specialization in Computational Sciences from the University of Luxembourg Laurea Magistrale in Physics of Complex Systems (110/110 cum laude) from the University of Turin and University of Western Piedmont Master in Business and Administration from Collège des Ingénieurs (Turin, Munich, Paris) Excellence school diploma from Scuola di Studi Superiori di Torino "F. Rossi" Daniele's research focuses on the robustness and resilience of complex systems, with applications spanning mathematical epidemiology, biological pathways, and neural networks. His work integrates models with empirical data using approaches from network science, multi-agent systems, and information theory. He has particular interest in critical transitions in natural systems and the ethics of AI, contributing to the field through both theoretical frameworks and practical applications in public health and biomedical contexts. His recent publications demonstrate a strong interdisciplinary approach, bridging computer science, biology, and social sciences. The research shows increasing focus on AI ethics, game-theoretic approaches to complex systems, and applications of mathematical modeling to epidemiology and biological systems. Notably, his work on Physarum polycephalum (slime mold) and critical transitions reveals innovative approaches to understanding complex adaptive behaviors. His scientific recognition includes: Winner of Best Thesis Award 2023 (University of Luxembourg) Winner of ESOF Travel Grant 2022 Winner of DESCOM Science Writing Competition 2021 Top 10 in COVID-19 Lung CT Lesion Segmentation Challenge 2020 Best presentation award at Euron + PhD Days conference 2019 International finalist at PLANKS 2017 Daniele serves as a reviewer for prestigious journals including PNAS and the Journal of the Royal Society B. He is a co-founder of Swarm Ethics and member of the editorial board of House of Ethics, focusing on actuable ethics for complex systems. His consulting work includes advising startups S-eye-S and Farmelody, and he has been actively involved in science communication through platforms like Instagram. As a member of multiple scientific societies including the Complex Systems Society and Network Science Society, Daniele contributes to the broader academic community through conference organization and editorial roles. He co-organized international workshops and serves on program committees for major conferences in complex networks and system theory.

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Andrea Molinariمشاهده پروفایل

استاد

University of TrentoItaly

Andrea Molinari is a Contract Professor at the University of Trento since 1990 and at the Free University of Bozen since 2002. He also serves as a Visiting Professor at Lappeenranta University of Technology (2021-2025) and holds a Docent position in Decision Making at the same institution (2024-2029). Previously, he was an Adjunct Professor at Turku University/Abo Akademi in Finland (2007-2019). Education: 2022: Doctoral Degree - Doctor of Science (Technology), Engineering Science, Software Engineering research field from LUT - Lappeenranta University of Technology. Dissertation: "Integration Between eLearning platforms and Information Systems: a New Generation of Tools for Virtual Communities" 1988: Master Degree in Economics from Università degli Studi di Trento with grade 110/110. Thesis: "P.I.R.S. Personal Information Retrieval Systems" Professor Molinari's research focuses on the intersection of education technology and information systems. His primary areas include e-learning/m-learning systems, virtual communities and social media, semantic technologies and ontologies, data management with AI applications, and Enterprise Project Management. His work bridges theoretical computer science with practical applications in educational and organizational contexts, particularly examining how technology can enhance learning experiences and organizational efficiency. His recent publications reveal a strong emphasis on the evolution of Learning Management Systems in the AI era, integration of semantic technologies with educational platforms, and applications of serious games for professional training. There's a clear trajectory toward more sophisticated, AI-enhanced educational technologies that incorporate data analytics, personalized learning, and advanced user modeling. Scientific Awards: Winner of the "S. Ciancio" scholarship (1980, 1982, 1983) Outstanding Paper Award at the Ed-Media World Conference on Educational Technology (1995) Since 1994, Professor Molinari has supervised approximately 10 thesis projects annually across multiple institutions including the University of Trento (Economics, Engineering), University of Bolzano (Computer Science, Education), and Abo Akademy in Finland. His teaching spans numerous courses related to information systems, project management, and technology applications across various academic disciplines. He has coordinated numerous research projects, particularly in the areas of e-learning platforms, virtual communities, and semantic technologies for educational applications. Professor Molinari is actively involved with several research communities and has served on program committees for numerous international conferences including IEEE-STAR, SMARTGREENS, and the International Conference on Web-based Education. His work often involves interdisciplinary collaboration between computer scientists, educators, and domain specialists to develop innovative technology-enhanced learning solutions.

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Roberto Vezzaniمشاهده پروفایل

دانشیار

University of Modena and Reggio EmiliaItaly

Roberto Vezzani is an Associate Professor at the University of Modena and Reggio Emilia's Enzo Ferrari Department of Engineering, specializing in information processing systems (ING-INF/05). Previously Director of the Artificial Intelligence Research and Innovation Center (2018-2021), he holds a PhD in Information Engineering from the same institution. As senior member of AimageLab, he coordinates research on human-computer interaction using multi-sensor systems. His research spans: Computer vision for IoT and video surveillance Motion detection and action classification 3D vision with depth/thermal/event cameras Sensor fusion and automatic video annotation He leads competitive projects funded by Toyota, Ferrari, and EU programs, focusing on industrial applications of computer vision. Recent publications (2024-2025) demonstrate strong focus on 3D pose estimation, robot perception, and efficient embedded vision systems, with applications in automotive, robotics, and UAVs. Awards include: Best Paper - ICPR 2020 (IAPR) Best Paper - VISAPP 2020 Best Paper - THEMIS'2008 Industrial collaborations feature multi-year projects with Ferrari (RedVision lab), Toyota Europe, and Tetra Pak. Teaching includes courses on Computer Architecture, IoT systems, and industrial AI.

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Francesco Reaمشاهده پروفایل

دانشیار مدعو

Italian Institute of TechnologyItaly

Francesco Rea is a Senior Technician at Istituto Italiano di Tecnologia (IIT) and holds adjunct/teaching positions at University of Lethbridge and University of Genova. He leads the Cognitive Architecture for Interactive Technology (CONTACT) lab, focusing on humanoid perception, cognitive skills, and industrial applications. Education: B.Sc. Information Engineering, Università di Bergamo (2004) Specialization in Computer Engineering, Università di Bergamo (2007) M.Sc. Robotics and Automation, University of Salford (2008) Ph.D. Robotics, University of Genoa (2012) Research: His work bridges cognitive neuroscience and robotics, developing systems for auditory awareness, adaptive tutoring, and human-robot collaboration in manufacturing/healthcare. Key projects include VOJEXT, APRIL, and PROMEN-AID, funded by EU H2020 and Human Brain Project. Publications: Recent works (2025) explore LLM-based tutoring architectures, visuo-motor learning, and social robotics, demonstrating consistent focus on AI-driven human interaction and cognitive modeling. Awards: Canada-Italy Innovation Award (2017, 2021) Best Paper Award at ROMAN2020 Mitacs Globalink Research Award (2018) AI for Robotics Award (2020) Grants & Teams: Secured €multi-million funding for 5+ EU projects. Leads a 10+ member team at CONTACT lab developing cognitive architectures for industrial robots and healthcare applications.

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Arash Ajoudaniمشاهده پروفایل

استاد

Italian Institute of TechnologyItaly

Arash Ajoudani is a tenured Senior Researcher and Principal Investigator at the Italian Institute of Technology (IIT), where he directs the Human-Robot Interfaces and Interaction (HRI²) laboratory. He holds affiliations with the European Lab for Learning and Intelligent Systems (ELLIS) and leads joint labs like R4M (Robotics for Manufacturing) and JOiiNT. His research bridges: Physical human-robot interaction Mobile manipulation Adaptive control systems Assistive and tele-robotics He coordinates flagship projects including ERC grants (Ergo-Lean, Real-Move), Horizon Europe initiatives (Tornado), and industrial collaborations. His awards include the IEEE RAS Early Career Award 2021, KUKA Innovation Award 2018, and multiple best paper recognitions at top robotics conferences. As an editor, he serves the International Journal of Robotics Research (IJRR) and IEEE RAS committees, driving advancements in collaborative automation and human-centered AI.

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Nicola Righettiمشاهده پروفایل

استادیار

University of Urbino Carlo BoItaly

Nicola Righetti serves as Assistant Professor at the Department of Communication Sciences, Humanities and International Studies (DISCUI) at the University of Urbino Carlo Bo. A computational social scientist with extensive expertise in data analysis and digital methodologies, he bridges technical approaches with social scientific inquiry. His research examines how digital media platforms shape communication, public discourse, and political behavior through rigorous data-driven investigation. Methodologically, he specializes in: Large-scale data analysis Network analysis techniques Machine learning applications Natural language processing Advanced statistical modeling Righetti teaches Digital Methods and Sociology of Cultural and Communicative Processes courses across multiple degree programs including Information, Media and Advertisement, and Modern Languages and Cultures. His scholarly work investigates the intersection of communication technologies with democracy, power structures, and social transformation. He has established significant research partnerships with: European Commission Media Authority of North Rhine-Westphalia These collaborations focus on critical contemporary issues including misinformation ecosystems, digital influence operations, and platform governance frameworks. Previously, he contributed to the Computational Communication Science Lab at the University of Vienna's Department of Communication.

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