Javier Vicente Saez

Javier Vicente Saez is a Professor in the Department of Computing, Electronics and Communication Technologies at the Faculty of Engineering, University of Deusto. His 20+ year career integrates advanced signal processing research with practical applications in biomedical engineering and educational technology, focusing on solutions for assisted living and engineering pedagogy.

His core research domains include:

• Biomedical signal processing for esophageal voice regeneration and pathological voice analysis
• eHealth systems using ZigBee and IoT for remote patient monitoring
• Educational tools (EasyPAS, MultiPAS) for digital signal processing instruction
• Embedded systems for biometric access control and smart home environments
• Machine learning applications in cardiovascular monitoring

Analysis of his recent publications reveals a strategic evolution from foundational work in voice regeneration toward integrated eHealth ecosystems and AI-driven educational analytics. His 2010-2012 journal articles demonstrate consistent innovation in making healthcare technology accessible while adapting engineering education to the Bologna Process requirements.

His key recognition includes:

• UD-Grupo Santander Research Award (2007)

Professor Saez actively secures competitive funding across EU, national, and regional programs. Current projects like AI-POWERED VIRTUAL TRAINING ENVIRONMENT (2020-2021) and ACM2024_21 (2024-2025) focus on machine learning for educational analytics and robotic training, while BEACON (2023-2025) addresses economic sustainability. His grant portfolio spans healthcare (EBIHOTZA for cardiovascular monitoring), industry 4.0 (NEMAK_HORDAGO), and social inclusion (DAPAS Serious Games).

His collaborative network connects DeustoTech research groups with Hospital Quiron, BBK, NEMAK, and EU consortia, driving interdisciplinary innovation in voice rehabilitation systems and smart assistive environments. Recent projects like VIVEWeb demonstrate ongoing commitment to memory-sharing applications for vulnerable populations.