Antonella Carbonaro is a **Confirmed Associate Professor** at the **Department of Computer Science and Engineering** of the University of Bologna. She holds a PhD in Intelligent Artificial Systems from the University of Ancona and has conducted post-doctoral research in AI. Her work focuses on **data and knowledge modeling for semantic representation**, particularly in healthcare domains. She leads major projects like the **DARE initiative** (digital lifelong prevention) and the **Cancer Virtual Lab**, leveraging knowledge graphs and AI to advance healthcare analytics. She is also involved in gender-balance initiatives like the **Ragazze Digitali** program and contributes to EU projects such as TEHDAS2 (European Health Data Space). Her research integrates semantic web technologies, FHIR standards, and digital twin systems to enhance healthcare interoperability and decision-making. She has been awarded the **National Scientific Qualification (ASN) for Full Professor** (2023). She serves on committees including the Emilia-Romagna Region’s AI in Healthcare Working Group and chairs multiple project work packages.
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نمایش ۱۶-۱۷ از ۱۷ استاد راهنما
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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.