Assistant Professor From University of Verona, Italy
Sara Migliorini is an accomplished academic and researcher specializing in data management, artificial intelligence (AI), and blockchain technology. Since 2019, she has served as an Assistant Professor in the Department of Computer Science at the University of Verona. Her expertise lies in processing and analyzing large datasets for predictive modeling and developing recommendation systems, with a strong focus on the tourism and agrifood sectors. Migliorini is also deeply involved in exploring the potential of blockchain technology in information systems and IoT devices. She has significantly contributed to numerous scientific projects, serving as both a team member and principal investigator. Notably, she leads the PNRR iNEST Spoke 7 smart-agrifood project, focusing on data traceability through blockchain integration and analysis. Her prolific academic output includes 31 scientific articles published in international journals, 50 conference papers, and three monograph chapters. Beyond her research, Migliorini plays a vital role in coordinating and directing research grants at the University of Verona. Her dedication to technological innovation and practical application of advanced data analysis techniques makes her a prominent figure in the fields of AI, data science, and blockchain, driving impactful research with practical industry relevance.
Professional Profiles
Education
Sara Migliorini holds a distinguished academic background in computer science, underpinned by her specialized expertise in data management, artificial intelligence, and blockchain technology. She completed her Ph.D. in Computer Science from a reputed institution, where her research focused on large-scale data processing and predictive modeling. During her doctoral studies, she honed her skills in data analytics, machine learning, and recommendation systems, laying the foundation for her future academic and professional pursuits. Prior to her doctoral degree, Migliorini earned her Master’s and Bachelor’s degrees in Computer Science, both with honors, demonstrating her exceptional academic performance and analytical abilities. Throughout her academic journey, she actively participated in collaborative research projects, contributing to publications and conferences. Her strong educational foundation has equipped her with the technical proficiency and theoretical knowledge essential for her research endeavors. Her continuous engagement with advanced technological fields, particularly in the domains of data integration, AI, and blockchain, reflects her commitment to lifelong learning and innovation. This academic trajectory has not only shaped her expertise but also positioned her as a leading figure in computer science research, inspiring her students and peers with her technical depth and scholarly contributions.
Professional Experience
Sara Migliorini has built an extensive professional career characterized by her expertise in data science, artificial intelligence, and blockchain applications. Since 2019, she has been an Assistant Professor at the Department of Computer Science at the University of Verona. In this role, she has been actively engaged in both teaching and research, mentoring students while leading and contributing to various scientific projects. Her research portfolio spans predictive data analysis, recommendation systems, and AI-driven solutions tailored to the tourism and agrifood sectors. Additionally, Migliorini has played a key role in exploring blockchain’s potential for enhancing data traceability in IoT and information systems.
Beyond her teaching responsibilities, she has collaborated on numerous scientific grants, often serving as the principal investigator. She has successfully coordinated over ten research grants at the University of Verona, overseeing projects related to data integration and AI applications. Currently, she leads the PNRR iNEST Spoke 7 smart-agrifood project, where she spearheads blockchain-based data traceability initiatives. Her professional career is marked by a commitment to technological advancement and applied research, making her a prominent figure in the field of computer science. Her expertise continues to drive innovation, bridging the gap between academic research and real-world technological applications.
Research Interest
Sara Migliorini’s research interests revolve around data science, artificial intelligence, and blockchain technology, with a strong focus on their practical applications in various industries. Her primary area of expertise lies in the management, processing, and analysis of large datasets for predictive modeling and the development of recommendation systems. She is particularly interested in applying AI-driven analytics to the tourism and agrifood sectors, where data insights can enhance decision-making and operational efficiency.
Migliorini is also deeply involved in blockchain technology, specifically investigating its integration into information systems and IoT devices. Her work in this area focuses on enhancing data traceability, security, and reliability, which are crucial for applications in agrifood supply chains and smart systems. She is particularly intrigued by the convergence of AI and blockchain, exploring how these technologies can be combined to create transparent, secure, and efficient data ecosystems.
Her ongoing research in the PNRR iNEST Spoke 7 smart-agrifood project exemplifies her commitment to applying blockchain technology for large-scale data traceability. With a forward-thinking approach, she continues to explore emerging technologies, contributing to innovative solutions that address real-world challenges through advanced data analysis and secure technology frameworks.
Research Skills
Sara Migliorini possesses a robust skill set in data science, artificial intelligence, and blockchain technology. She is highly proficient in data processing, predictive analytics, and the development of recommendation systems, making her a key contributor to advanced data-driven projects. Her expertise includes applying machine learning algorithms and AI models to extract insights from large datasets, particularly for predictive and prescriptive analytics in the tourism and agrifood sectors.
In addition to her data analysis capabilities, Migliorini is skilled in blockchain technology, with expertise in integrating it into information systems and IoT platforms. She specializes in designing and implementing blockchain-based solutions for data traceability, ensuring transparency and security in data management. Her technical skills also extend to programming languages such as Python and R, as well as data visualization tools, enabling her to develop and present complex data models effectively.
Her proficiency in grant writing, project management, and team coordination has allowed her to lead multiple research grants successfully. With strong analytical skills, a problem-solving mindset, and a forward-looking approach to technology, Migliorini continues to expand her skill set, making significant contributions to the fields of AI, data science, and blockchain innovation.
Awards and Honors
Sara Migliorini’s outstanding contributions to data science, artificial intelligence, and blockchain technology have earned her numerous awards and honors. As a leading researcher in the field, she has been recognized for her innovative work on data processing and predictive analytics. She has received prestigious research grants and funding from the University of Verona, where she serves as the scientific director for multiple projects. Her role in coordinating and leading over ten research grants highlights her expertise and dedication to advancing technology-driven solutions.
In addition to her grant leadership, Migliorini’s impactful research has been acknowledged through various accolades in academic conferences and symposiums. Her scientific publications, including 31 journal articles, 50 conference papers, and three monograph chapters, have garnered significant recognition, cementing her reputation in the academic community.
Her involvement in the PNRR iNEST Spoke 7 smart-agrifood project, where she leads the blockchain data traceability research, has further enhanced her standing as an influential figure in the field. Migliorini’s commitment to research excellence, combined with her innovative contributions, continues to earn her well-deserved honors, positioning her as a prominent and respected academic in data science and emerging technologies.
Conclusion
Sara Migliorini is a distinguished academic and researcher whose expertise in data science, artificial intelligence, and blockchain technology has made a significant impact in both academia and industry. As an Assistant Professor at the University of Verona, she has demonstrated exceptional leadership by spearheading multiple scientific projects, mentoring students, and publishing extensively. Her contributions to data processing, predictive analytics, and blockchain traceability highlight her ability to apply advanced technologies to solve real-world problems, particularly in the tourism and agrifood sectors.
Her innovative research skills, coupled with her proficiency in AI, data science, and blockchain applications, have earned her recognition in the academic community. Through her work on the PNRR iNEST Spoke 7 smart-agrifood project, she continues to drive technological advancements, promoting transparency and efficiency in data management.
Migliorini’s dedication to technological innovation, academic excellence, and real-world application of cutting-edge research makes her a leading figure in her field. Her continued efforts to bridge the gap between theoretical research and practical solutions solidify her reputation as a visionary academic, committed to advancing technology for the benefit of society.
Publications Top Notes
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Enhancing Business Process Models with Ethical Considerations
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Authors: B. Amico, Beatrice; C.K. Combi, Carlo K.; A. Dalla Vecchia, Anna; B. Oliboni, Barbara; E. Quintarelli, Elisa
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Augmentation Techniques for Balancing Spatial Datasets in Machine and Deep Learning Applications
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A Generic Machine Learning Model for Spatial Query Optimization based on Spatial Embeddings
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A Survey on Data Availability in Layer 2 Blockchain Rollups: Open Challenges and Future Improvements
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Promoting Sustainable Tourism by Recommending Sequences of Attractions with Deep Reinforcement Learning
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Authors: A. Dalla Vecchia, Anna; S. Migliorini, Sara; E. Quintarelli, Elisa; M. Gambini, Mauro; A. Belussi, Alberto
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Year: 2024
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Citations: 3
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A Learning-Based Framework for Spatial Join Processing: Estimation, Optimization, and Tuning
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Authors: T. Vu, Tin; A. Belussi, Alberto; S. Migliorini, Sara; A. Eldawy, Ahmed
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Year: 2024
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Citations: 2
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Efficient and Secure Distributed Data Storage and Retrieval Using Interplanetary File System and Blockchain
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Blockchain-Based Multirole Authentication and Authorization in Smart Contracts with a Hierarchical Factory Pattern