
About
Alvaro E. Prieto is an Assistant Professor of Computer Languages and Systems at the University of Extremadura (Spain), affiliated with the Quercus Software Engineering Group. He holds a Bachelor's in Computer Science (2000) and a PhD in Computer Science (2013) from the same institution. His research focuses on Linked Open Data, Predictive Analytics, Business Intelligence, and workflow systems, with notable contributions to reproducible data science and IoT simulation environments. Recent work includes analyzing ChatGPT's impact on engineering education and developing decision support frameworks for training programs.
Notable achievements include the JENUI 2023 Best Work award for innovative analysis methodologies. His projects often involve collaborations with academic and municipal partners, addressing challenges in smart cities, administrative processes, and educational technology. Key publications explore model-driven approaches for data analysis reproducibility, ontology-based workflow adaptation, and cloud cost estimation techniques.
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