Descripción

He received his B.Sc. degree in Telecommunication Systems 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 a contracted predoctoral teacher at the UPM and participates in the AIMS5.0, ANEMONA and STRATUM projects in Systems and Services Engineering for the Information Society at the Electronic and Microelectronic Design Group (GDEM), UPM. His research interests include high-performance graphics processing systems, real-time hyperspectral image processing and immersive computer vision applications.

Publicaciones

• Multimodal MRI–HSI synthetic brain tissue dataset based on agar phantoms

• Villa Romero, M., Sancho Aragón, J., Rosa Olmeda, G., Juárez Martínez, E., Moccia, S. & Enkaoua, A
  2026
  Data, 11(1), 12

• Deep learning-driven glioblastoma diagnosis from histopathological images via single-cell segmentation and morphological analysis

• Rosa Olmeda, G., Villa Romero, M., Chavarrías Lapastora, M., Hiller-Vallina, S., Salvi, M. & Gargini, R
  2025
  Machine learning: Science and Technology, 6(4)

• Benchmarking commercial depth sensors for intraoperative markerless registration in neurosurgery applications

• Sancho Aragón, J., Villa Romero, M., Rosa Olmeda, G., Juárez Martínez, E. & Sanz Álvaro, C
  2025
  International Journal of Computer Assisted Radiology and Surgery, 20, 1759–1769

• Unifying heterogeneous hyperspectral databases for in vivo human brain cancer classification Towards robust algorithm development

• Martín Pérez, A., Martínez-Vega, B., Villa Romero, M., León, R., Martínez de Ternero Ruíz, A., Fabelo, H. et al
  2025
  ScienceDirect, 7, 100183

• 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)

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

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