Fernanda Baião is an Associate Professor of the Department of Industrial Engineering since September 2019. She is a CNPq fellow and a Scientist at FAPERJ since 2021, and coordinates the Graduate Program in Production Engineering (PPGEP).
Her research interests cover the following topics:
– Conceptual Modeling and Ontologies
– Data Science and Data Engineering
– Business Process Management (BPM), in particular Knowledge-Intensive Processes
– Data Integration through Ontologies Alignment
Her research is aligned with the following Graduate program research projects:
– Decision Analysis and Business Analytics, within Operations and Business in Engineering
– Machine Learning, within Operations Research
She was one of the founders of NOIS (Center for Healthcare Operations and Intelligence), a research group with the objective of incorporating statistics and data science to resource optimization in Healthcare, and a collaborator at the FROG lab (Forecasting and Resource Optimization Group), a research lab that focuses on the development and application of methodologies that combine Statistics and Machine Learning for modeling, forecasting, and simulation.
She is a member of the deliberative council of the board of directors of the National Association of PPGs in Production Engineering (ANPEPRO), and is affiliated to the Brazilian Society of Operational Research (SOBRAPO), the Brazilian Association of Production Engineering (ABEPRO) and the International Association for Ontology and its Applications (IAOA).
Research Areas:
Data Science and Analytics,
Business Process Management,
Conceptual Modeling
History:
Visiting researcher, 2018, Free University of Bozen-Bolzano (UNIBZ), Italy.
PhD in Systems and Computer Engineering, 1997 – 2001, COPPE/UFRJ, Brazil.
Visiting researcher, 2000, University of Wisconsin-Madison (UW), USA.
Master’s degree in Systems and Computer Engineering, 1995 – 1997, COPPE/UFRJ, Brazil
Degree in Computer Science, 1991 – 1995, UFRJ, Brazil.