Rafael M. Martins

Rafael M. Martins serves as a Senior Lecturer in Computer Science and Media Technology at Linnaeus University, Växjö, Sweden, specializing in the critical intersection of visualization and machine learning. His work focuses on creating accessible explanatory interfaces for complex models using dimensionality reduction techniques.

His core research domains include:

• Information Visualization
• Visual Analytics
• Explainable AI (XAI)
• Dimensionality Reduction methodologies
• Machine Learning model interpretation

Dr. Martins champions dimensionality reduction tools like PCA, t-SNE, and UMAP as essential components for scalable visual analytics solutions, emphasizing their applicability across scientific and industrial domains to transform complex multidimensional data into interpretable visual representations.

He is actively affiliated with the InfraVis research project, contributing to infrastructure development in visual analytics. His professional mission centers on developing efficient, user-friendly visual interfaces that serve both technical engineers and end-users in understanding sophisticated machine learning models.