
Maria Eduarda
PRODUCTION ENGINEERING
Green Hydrogen Researcher
Federal University of Rio Grande do Norte
Technology Center
Email: maria.correia.155@ufrn.edu.br
Lattes: lattes.cnpq.br/3028301208337095
Linkedin: linkedin.com/in/mariaeduardacorreiapedrosa
Logistics Technician from the Federal Institute of Education, Science, and Technology of Rio Grande do Norte (IFRN, 2020) and undergraduate student in Production Engineering at the Federal University of Rio Grande do Norte (UFRN). Research at the Creation Group focuses on innovation and the development of sustainable products in the renewable energy sector, with a particular interest in biogas, green hydrogen, and green supply chains.
Academic research experience includes six years in Engineering Education, focusing on developing teaching methodologies in Logistics (IFRN). During this period, leadership was held in the Tutorial Education Program (PET Produção) as part of the research in Production Engineering. Additionally, there was active participation in the UFRN Production Engineering Academic Center (CAENPRO) and the Potiguar Production Engineering Group (NUPEP).
Currently contributing to the Technical Support team for Operation and Maintenance in the gas supply sector in Rio Grande do Norte, gaining hands-on experience in monitoring operational processes, asset management, and improving maintenance systems.
2021 – Gestão de Projetos Sociais: Metodologia e Prática, VIII Congresso Brasileiro dos Engenheiros sem Fronteira (8hs);
2021 – Storytelling: o diferencial no marketing da sua empresa, UFRN (2hs);
2022 – Minicurso Matemática Financeira Aplicada ao Excel, UFRN (3hs);
2022 – Minicurso Power BI, UFRN (3hs);
2022 – Minicurso de liderança, UFRN (3hs);
2022 – Vendas e negociação, UFRN (2hs);
2022 – Minicurso de Feedback, UFRN (3hs);
2023 – Mapeamento de Processos: Bizagi, UFRN (3hs);
2023 – Minicurso Growth Hacking, UFRN (3hs);
2023 – Minicurso Looker Studio, UFRN (3hs);
2023 – Minicurso OKR, UFRN (3hs);
2023 – Minicurso Data Studio, UFRN (3hs);
2023 – Modelagem e otimização no Solver aplicado ao PCP, ENEGEP (8hs).