Ramon Granell

Ramon Granell is a Senior Researcher at the Oxford e-Research Centre (University of Oxford), specializing in data analytics and machine learning applied to energy systems, computational linguistics, and data management. He leads the Data Readiness Group under Prof. Susanna-Assunta Sansone, focusing on FAIRsharing platform enhancements. With a PhD in energy analytics from Brunel University London and degrees from the Universidad Politécnica de Valencia, Granell has been at Oxford since 2010, contributing to projects like the EPSRC-funded ADEPT and WICKED initiatives. His work bridges energy informatics and data science, with notable achievements including best poster awards at energy workshops and contributions to FAIR data principles through the FAIR Cookbook. He also investigates green leasing impacts and anaerobic digestion efficiency, demonstrating cross-disciplinary research strengths.

Education:

• BSc in Computer Science, Universidad Politécnica de Valencia
• MSc in Machine Learning, Universidad Politécnica de Valencia
• PhD in Energy Analytics, Brunel University London

Key Research Areas: Granell's work focuses on data-driven solutions for energy demand prediction in retail environments, leveraging machine learning techniques such as Dirichlet process mixtures and feature extraction. His computational linguistics research explores morphological productivity and lexical analysis. He actively promotes FAIR data principles through collaborative projects like the FAIR Cookbook, which supports standardization and interoperability in scientific data ecosystems.

Grants & Awards:

• EPSRC Impact Acceleration Account (2017-2018)
• Best poster awards (2017, Manchester and 2018 Brussels)

He has secured funding from EU Companions, EPSRC WICKED, and ADEPT projects.

Labs/Teams: Core member of the Data Readiness Group at Oxford e-Research Centre, collaborating with Prof. Sansone’s team on FAIR data initiatives and energy analytics.