About me

Applied AI research with impact

Associate Professor at UPM working on machine learning, optimization, and signal processing for healthcare, autonomous systems, and industry.

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57 Publications

26 Q1 Journals

12 R&D Projects

584 Citations

14 H-Index

Research Profile

My work focuses on combining machine learning, optimization, and signal processing to solve real-world problems. My research encompasses medical applications, autonomous navigation, cybersecurity, communications, industrial applications, and audio-related problems.

Healthcare AI Federated Learning Signal Processing Optimal Control Autonomous Navigation Applied AI

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For Students

If you are a UPM student interested in applying AI, machine learning, optimization, or signal processing to your Bachelor's or Master's thesis, feel free to contact me. Topics may include healthcare AI, autonomous systems, communications, and data-driven industrial applications.

Teaching and supervision →

For Industry & Institutions

I collaborate with companies and institutions interested in applying AI to real-world challenges, especially in healthcare, autonomous systems, and industrial data analysis. I am open to joint R&D, consulting, and collaborative research projects.

Research projects →

Latest Publications

2026

Kolmogorov-Arnold causal generative models

Almodóvar, A., Elizo, M., Apellániz, P. A., Zazo, S., & Parras, J.
IEEE Transactions on Pattern Analysis and Machine Intelligence

2026

Real-time sonar simulation for UUVs using rasterization and omnidirectional screen space reflections

Ortiz-Toro, C. A., Saldaña-Esteban, R., Parras, J., & Gutiérrez, A.
Applied Ocean Research

2026

Novel oxygenscan parameters differentiate unique hemolytic and inflammatory profiles associated with sickle cell disease genotypes

Idrizovic, A., Traets, M. J., Gimbert, A. C., Reidel, S., van der Veen, S., Pham Hung D’Alexandry D’Orengiani, A. L., et al.
Scientific Reports

2026