Descripción

He received his B.Sc. degree in Sound and Image 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 currently works as a contracted researcher in the Nemesis-3D-CM project at the Electronic and Microelectronic Design Group (GDEM), UPM. His research interests include  biomedical real-time classification of brain tissues using Deep Learning and Artificial Intelligence solutions.

Publicaciones

• 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).

• Supervised Machine Learning Methods and Hyperspectral Imaging Techniques Jointly Applied for Brain Cancer Classification

• Urbanos García, G., Villanueva, M., Jiménez-Roldán, L., Chavarrías Lapastora, M., Lagares, A., Juárez Martínez, E. et al
  2021
  Sensors, 21 (11)(3827), 1‐29

• Hyperspectral Images Acquisition: an Efficient Capture and Processing Stitching Procedure for Medical Environments

• IEEE, editor. (2020). Hyperspectral Images Acquisition: an Efficient Capture and Processing Stitching Procedure for Medical Environments, 2020 XXXV Conference on Design of Circuits and Integrated Systems (DCIS).

• Multiclass Brain Tumor Classification Using Hyperspectral Imaging and Supervised Machine Learning

• IEEE, editor. (2020). Multiclass Brain Tumor Classification Using Hyperspectral Imaging and Supervised Machine Learning, 2020 XXXV Conference on Design of Circuits and Integrated Systems (DCIS).

Proyectos

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