Mrs. Marta Zorrilla, University of cantabria, Spain
Mrs. Marta Zorrilla is a distinguished academic with a Ph.D. in Telecommunication Engineering from Universidad de Cantabria, Spain, complemented by a Bachelor’s and Master’s in the same field. With an H-Index of 10 on Web of Science and 19 on Google Scholar, and 1232 citations, her research has significantly impacted Learning Analytics, Educational Data Mining, and Big Data Technologies. She has developed frameworks for MOOCs, a reference architecture for Big Data, and leads a national R&D project on data stream mining for Industry 4.0. Mrs. Zorrilla has held various teaching and management roles, including Vice-Dean and Director of the Teaching Staff Area at Universidad de Cantabria. She is also a key member of the Software Engineering and Real-Time Group (ISTR), contributing to software engineering, real-time systems, and data science.
šĀ Professional Profile
Suitability for the Best Researcher Award
- Academic and Research Impact: Mrs. Zorrilla’s research contributions in document databases, learning analytics, big data technologies, and data governance have had a significant impact. Her high citation count and substantial H-index reflect the influence and recognition of her work.
- Innovative Contributions: Her pioneering work in developing frameworks for data governance and learning analytics, as well as her contributions to big data technologies, demonstrate innovation and practical applications in critical areas of technology and industry.
- Leadership and Mentorship: Mrs. Zorrilla has played a key role in mentoring PhD researchers and has been involved in numerous national and European research projects. Her leadership in these areas highlights her commitment to advancing research and supporting the next generation of scholars.
- Teaching Excellence: Her long-standing teaching role and management positions at Universidad de Cantabria showcase her dedication to education and academic administration, further enhancing her profile as a distinguished researcher.
- Proven Track Record: Her extensive list of publications, including articles in high-impact journals, and her role in major research projects demonstrate a robust and successful research career.
Academic Qualifications:
She holds a Bachelor in Telecommunication Engineering, a Master in Telecommunication, and a PhD in Telecommunication Engineering, all from Universidad de Cantabria, Spain. š
Research Indicators:
With an H-Index of 10 (Web of Science) and 19 (Google Scholar), and 1232 citations, Mrs. Zorrilla has made substantial contributions to her field. She has 5 Quinquenios and 2 Sexenios. š
Research Achievements:
Her early career saw the development of a neural network engine and the founding of Predictia. She has made significant contributions to Learning Analytics and Educational Data Mining, including frameworks for MOOCs and a European project. Her work in Big Data Technologies includes a reference architecture and benchmarks for technology configuration. She has also developed a data governance framework and is the Principal Investigator for a national R&D project on data stream mining for Industry 4.0. š
Teaching and Management Roles:
Mrs. Zorrilla has extensive teaching experience in database technologies and data management. She has held management roles including Vice-dean, head of studies, and Director of the Teaching Staff Area at Universidad de Cantabria. š©āš«
Research Group CV Summary:
She is active in the Software Engineering and Real-Time Group (ISTR), focusing on software engineering, real-time systems, databases, and data science, contributing to numerous projects and publications. š ļø
Publication Top Notes:
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Title: Fleet Management Systems in Logistics 4.0 Era: A Real-Time Distributed and Scalable Architectural Proposal
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Title: An I4.0 Data Intensive Platform Suitable for the Deployment of Machine Learning Models: A Predictive Maintenance Service Case Study
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Title: A Reference Framework for the Implementation of Data Governance Systems for Industry 4.0
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Title: A Big Data-Centric Architecture Metamodel for Industry 4.0
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Title: A Data Governance Framework for Industry 4.0