Celina Pinto Leão is an Associate Professor of Numerical Methods and Applied Statistics at the School of Engineering, University of Minho (UMinho), Portugal. Celina is a researcher at the Algoritmi Research Centre in the "Systems Engineering and Operational Research (SEOR)" group. Her research interests are in Numerical and Statistical Methods in Engineering, Quantitative and Qualitative Techniques in Engineering, and applying new methodologies in the learning process of Numerical Methods and Statistics in Engineering. Recently, she has been interested in analyzing and using statistical models for decision-making and occupational safety as a support tool, particularly for risk decisions, design of experiments, data collection and analysis in device development, and gender studies. Committed to innovative teaching approaches like Challenge-Based Learning and Service Learning, she aims to enrich students' learning experiences and practical applications in engineering.
Celina Pinto Leão is an Associate Professor of Numerical Methods and Applied Statistics at the School of Engineering, University of Minho (UMinho), Portugal. Celina is a researcher at the Algoritmi Research Centre in the "Systems Engineering and Operational Research (SEOR)" group. Her research interests are in Numerical and Statistical Methods in Engineering, Quantitative and Qualitative Techniques in Engineering, and applying new methodologies in the learning process of Numerical Methods and Statistics in Engineering. Recently, she has been interested in analyzing and using statistical models for decision-making and occupational safety as a support tool, particularly for risk decisions, design of experiments, data collection and analysis in device development, and gender studies. Committed to innovative teaching approaches like Challenge-Based Learning and Service Learning, she aims to enrich students' learning experiences and practical applications in engineering.