Descripción

He received his B.Sc. degree in Telecommunication Engineering from Universidad Politécnica de Madrid (UPM), Spain, in 2017, and his M.Sc. degree in Systems and Services Engineering for the Information Society from Universidad Politécnica de Madrid (UPM), Spain, in 2018. Obtained his PhD degree in 2023 focussed on computer vision applications that require real-time and hence hardware acceleration, especially employing Graphics Processing Units (GPUs) applying GPUaccelerated techniques on the depth generation context.

He is currently a contracted teacher at the UPM and actively participates as a researcher in the AIMS5.0, STRATUM and ANEMONA projects at the GDEM group.

Publicaciones

• SLIMBRAIN database: A multimodal image database of in vivo human brains for tumour detection

• Martín Pérez, A., Villa Romero, M., Rosa Olmeda, G., Sancho Aragón, J., Vázquez Valle, G., Urbanos García, G. et al
  2025
  Scientific Data, 12(836)

• HyperMRI: hyperspectral and magnetic resonance fusion methodology for neurosurgery applications

• Sanz Álvaro, C., Villa Romero, M., Chavarrías Lapastora, M., Rosa Olmeda, G., Sancho Aragón, J. & Juárez Martínez, E
  2024
  International Journal of Computer Assisted Radiology and Surgery, 19, 1367-1374

• GPU-Based Real-Time Depth Generation for Immersive Video Applications

• Sancho Aragón, J. (2023). GPU-Based Real-Time Depth Generation for Immersive Video Applications. Tesis doctorales.

• Toward physically realistic vision in teleoperation: A user study with light-field head mounted display and 6-DoF head motion

• Sancho Aragón, J
  2023
  Journal of the Society for Information Display, 31, 663-674

• SLIMBRAIN: Augmented reality real-time acquisition and processing system for hyperspectral classification mapping with depth information for in-vivo surgical procedures

• Sancho Aragón, J., Villa Romero, M., Juárez Martínez, E. & Sanz Álvaro, C
  2023
  JOURNAL OF SYSTEMS ARCHITECTURE, 140

Proyectos

• STRATUM: 3D Decision Support Tool for Brain Tumor Surgery

• AIMS5.0: Artificial Intelligence in Manufacturing leading to Sustainability and Industry5.0

• ANEMONA: mas allá de la Acuicultura 4.0: iNteligEncia artificial y datos Multimodales para el desarrollO de una iNdustria digital, resiliente y ecológicAmente sostenible

• Acuicultura 4.0: Aplicación de tecnologías de visión e inteligencia artificial a la mejora del proceso productivo

• TALENT-HIPSTER: HIgh Performance Systems and Technologies for E-health and fish faRming