Inês Sena

Inês Sena is a researcher at the Polytechnic Institute of Bragança (IPB), Portugal, affiliated with the Department of Industrial and System Engineering. She holds a PhD in Industrial and Systems Engineering and is currently undertaking a postdoctoral fellowship. Her academic journey includes a degree and master's in Biomedical Technology (Medical Signals and Instrumentation) from IPB.

Research interests focus on project management, data analysis, machine learning, and developing predictive models for safety and well-being. Key areas include simulation, advanced data analytics, and sensing technologies. Since 2020, she has been actively involved in research at IPB, contributing to interdisciplinary projects in retail sector safety, occupational accident prediction, and transaction pattern modeling.

Her publications (12 total) emphasize data-driven approaches to occupational safety, retail analytics, and clustering techniques. While no awards are listed, her work integrates machine learning with industrial engineering challenges. She has not yet supervised students, but collaborates extensively with colleagues in mathematics and industrial engineering.