Signal Processing & System Modeling
Methods for learning, characterizing and controlling systems from observed signals.
My research has two complementary sides: the methods and systems I work on, and the projects, funding and transfer activities where those ideas are developed and applied.
Three connected areas, from models and inverse problems to sound-producing systems and advanced sensing.
Methods for learning, characterizing and controlling systems from observed signals.
Speech, voice and sound-producing systems, from physical models to generative methods.
Signal processing for radio, radar, arrays and sensing systems.
Model-based and differentiable descriptions of signal-generating systems, with emphasis on interpretable inversion and parameter estimation.
Identification, assessment and compensation of nonlinear systems, including Volterra/Wiener formulations and amplifier characterization.
Analysis-by-synthesis and physical modeling for vocal production, inversion and copy-synthesis.
Neural and model-informed generation, synthesis and representation learning for audio and speech.
Beamforming, RFSoC signal processing, cognitive communications and large-scale array design.
Signal-based measurement and characterization across RF, ultrasound, industrial and biomedical systems.
Selected funded research, industry R&D and technology-transfer activity.
Cooperative electronic-attack technologies involving advanced communications, sensing and signal processing.
Advanced technologies for serial production of payloads and space platforms, in collaboration with INDRA.
Voice, speech and multimodal biomarkers for diagnosis and assessment of Parkinson’s disease.
AI, sensing and data integration for digitalization and sustainability in aggregates and quarry operations.
Ultra-wideband MIMO radar and advanced signal processing.
Voice signal characterization, modeling and compensation.
Bayesian and contextual prior knowledge for interactive speech-recognition systems.
Advanced transport-network technologies and intelligent mobility.
Advanced training and applied R&D in digital beamforming and RFSoC signal processing.
Research on AI-based tools for multimedia-data annotation and analysis.
Content-based retrieval, computer vision and AI-assisted data analysis.
Technical and regulatory feasibility of licensed-band point-to-multipoint cognitive-radio systems.
Risk modeling and data analytics using vehicular telematics.
Technology-transfer initiative originating from UPM innovation programmes; AcopiaLab S.L. founded in 2025.
Insurance-telematics product and spin-off activity using risk analytics and vehicular data.
AI, data-analysis and product-development activities associated with the Shazura–ETSIT-UPM collaboration.
Includes a UPM patent on analysis of sleep disorders from images and additional transferred IP related to PhoneDrive.