Descripción

He received his B.Sc. degree in Electronic Engineering Communication Engineering from Universidad Politécnica de Madrid (UPM), Spain, in 2020, and his M.Sc. degree in Science in Internet of Things from Universidad Politécnica de Madrid (UPM), Spain, in 2021. He is currently pursuing his PhD contracted as a researcher in Electronic and Microelectronic Design Group (GDEM) and working actively in the ANEMONA and STRATUM projects. His research interests include hyperspectral image processing and machine learning classification and immersive computer vision applications.

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)

• A Microscope Setup and Methodology for Capturing Hyperspectral and RGB Histopathological Imaging Databases

• Chavarrías Lapastora, M., Villa Romero, M., Rosa Olmeda, G. & Pescador del Oso, F
  2024
  Sensors, 24(17)

• 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

• An Embedded GPU Accelerated Hyperspectral Video Classification System in Real-Time

• IEEE, editor. (2022). An Embedded GPU Accelerated Hyperspectral Video Classification System in Real-Time, 2021 XXXVI Conference on Design of Circuits and Integrated Systems (DCIS).

• Stitching technique based on SURF for Hyperspectral Pushbroom Linescan Cameras

• IEEE, editor. (2022). Stitching technique based on SURF for Hyperspectral Pushbroom Linescan Cameras, 2021 XXXVI Conference on Design of Circuits and Integrated Systems (DCIS).

Proyectos

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

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

• NEMESIS-3D-CM: clasificacióN intraopEratoria de tuMores cErebraleS mediante modelos InmerSivos 3D