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Erika Barcelos

Research Assistant Professor, Materials Science and Engineering

Develops geospatial predictive models and geospatial data science tools to study climate and environmental related phenomena and their impacts in nature. Develop data management and data integration frameworks for data and metadata to enable FAIRification.


Ph.D., Polymer Science & Engineering, Macromolecular Science & Engineering, CWRU, 2022
Ph.D., Mechanical Engineering, Pontificia Universidade Catolica do Rio de Janeiro, PUC-Rio, Brazil, 2022
M.S., Polymer Science & Technology, Universidade Federal do Rio de Janeiro, UFRJ, Brazil, 2015
M.E., Chemical Engineering, Ecole des Mines des Saint Etienne, France, 2011

Research Interests

My two main research interests are geospatial data science and data management. My current research focuses on using geospatial analytics and integrating spatiotemporal data including stream sensors and satellite imagery to develop predictive models to monitor nutrient flows in the environment. My second research focus is on data management, more especially on how to apply FAIR principles to data, metadata, models and results. In our FAIR-Ontology research area, we work with companies and national laboratories to help them manage and organize their data properly to enable more efficient processes in the organization.