About
Jose Rafael Magdalena Benedicto is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia, Spain. He is a core member of the Intelligent Data Analysis Laboratory (IDAL), where he leads research in machine learning, biomedical signal processing, and data science applications in health and industry.
- Doctorate: Universitat de València (2000)
His research interests span machine learning, intelligent data analysis, biomedical engineering, neurocognitive disorders in metabolic and psychiatric diseases, algebraic geometry, and quantum machine learning. His work bridges theoretical advances in symbolic computation and applied AI with real-world problems in medicine and industrial systems.
Recent publications show a strong trend in applying machine learning to anomaly detection in enterprise systems, asymptotic analysis of algebraic curves and surfaces, and identifying inflammatory and metabolic biomarkers for cognitive impairment in diabetes and psychiatric disorders. He also explores multimodal video analysis for public safety and quantum reinforcement learning.
While no scientific awards are listed in the provided text, his extensive publication record and leadership in research projects indicate significant scholarly contributions.
He has supervised doctoral students, including Dr. Juan Francisco Guerrero Martínez and Dr. Javier Calpe Maravilla. His research is supported by ongoing projects in intelligent data analysis, though specific grants are not detailed. He contributes to educational innovation, having developed tools like BiomedChallenge to enhance data science learning.
He is actively involved in the Intelligent Data Analysis Laboratory (IDAL), which focuses on developing and applying advanced data analysis techniques to real-life applications in biomedicine, education, and industry.
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