Rubén Martín Clemente

Dr. Rubén Martín Clemente is a Professor in the Department of Signal Theory and Communications at the University of Seville, Spain. His research focuses on biomedical engineering, signal processing, and artificial intelligence, with significant contributions to blind source separation (BSS), fetal electrocardiogram (ECG) extraction, and EEG analysis for cognitive neuroscience. He leads the Biomedical Engineering research group and has participated in numerous national and European projects, including IAREPRO II (AI in assisted reproduction), MARCO-BOLO (coastal biodiversity monitoring), and PID2022-138590OB-C22 (wind turbine structural monitoring).

• Research Themes: Machine learning for biomedical signal processing, ICA algorithms, cognitive neuroscience applications, and IoT systems for infrastructure monitoring
• Technical Leadership: Developed RFID-based traffic sign inventory systems and adaptive algorithms for nonlinear source separation

His work spans neuroimaging data analysis (e.g., Scientific Reports 2022), energy prediction models (IEEE Access 2023), and smart city applications. Key publications include foundational work on ICA in Springer (2014) and CRC Press (2013). He holds patents for wireless highway inventory systems and has mentored doctoral theses on ICA and image processing.

Selected Scientific Contributions

• 2011: Fetal ECG extraction techniques (IEEE Transactions on Biomedical Engineering)
• 2022: Reliability analysis of visual processing EEG (Behavioral Brain Research)
• 2017: L1-PCA/ICA connections (IEEE TPAMI)