Javier López Fandiño

Office 4

Department of Electronics and Computing

Edificio Emprendia

Santiago de Compostela 15782 - Spain

I obtained my Bachelor’s degree in Computer Science in 2012 and the Master’s in Information Technology in 2014 at the Universidade de Santiago de Compostela (USC). I obtained the PhD. in Computer Science Research at the same university in 2018, under the supervision of Prof. Dr. Dora B. Heras and Prof. Dr. Francisco Argüello. Since 2022, I have been an Assistant Professor in the Computer Architecture and Technology branch of the Department of Electronics and Computer Engineering at USC.

I am part of the collaborator research staff of Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS) and Galician Centre for Mathematical Research and Technology (CITMAga).

My main research areas cover high performance computing and remote sensing, with special emphasis on optimizing GPU processing for multidimensional remote sensing images. My work focuses on the development of efficient techniques for the detection of anomalies and changes within multi-temporal data sets that can be projected onto commodity GPU and edge-computing hardware for processing in real-time scenarios. I am also interested on the classification of these types of images using advanced neural networks and Deep Learning methodologies.

selected publications

IJPP

GPU framework for change detection in multitemporal hyperspectral images

Javier López-Fandiño , Dora B. Heras , Francisco Argüello , and Mauro Dalla Mura

International Journal of Parallel Programming, 2019

Bib DOI

@article{lopez2019gpu,
  doi = {10.1007/s10766-017-0547-5},
  title = {GPU framework for change detection in multitemporal hyperspectral images},
  author = {L{\'o}pez-Fandi{\~n}o, Javier and B. Heras, Dora and Arg{\"u}ello, Francisco and Dalla Mura, Mauro},
  journal = {International Journal of Parallel Programming},
  volume = {47},
  number = {2},
  pages = {272--292},
  year = {2019},
  publisher = {Springer},
  dimensions = {true}
}

JSUP

Using heterogeneous computing and edge computing to accelerate anomaly detection in remotely sensed multispectral images

Javier López-Fandiño , Dora B Heras , and Francisco Argüello

The Journal of Supercomputing, 2024

Bib DOI

@article{lopez2024using,
  doi = {10.1007/s11227-024-05918-z},
  title = {Using heterogeneous computing and edge computing to accelerate anomaly detection in remotely sensed multispectral images},
  author = {L{\'o}pez-Fandi{\~n}o, Javier and Heras, Dora B and Arg{\"u}ello, Francisco},
  journal = {The Journal of Supercomputing},
  volume = {},
  number = {},
  pages = {},
  year = {2024},
  publisher = {Springer},
  dimensions = {true}
}

GRSL

Attention-based Convolutional Neural Network for Anomaly Detection in Multispectral Images of Semi-Natural Ecosystems

Javier López-Fandiño , Álvaro Ordóñez , Pablo Quesada-Barriuso , Alberto S Garea , Francisco Argüello , and Dora B Heras

IEEE Geoscience and Remote Sensing Letters, 2025

Bib DOI

@article{lopez2025attention,
  doi = {10.1109/LGRS.2025.3577943},
  title = {Attention-based Convolutional Neural Network for Anomaly Detection in Multispectral Images of Semi-Natural Ecosystems},
  author = {L{\'o}pez-Fandi{\~n}o, Javier and Ord{\'o}{\~n}ez, {\'A}lvaro and Quesada-Barriuso, Pablo and Garea, Alberto S and Arg{\"u}ello, Francisco and Heras, Dora B},
  journal = {IEEE Geoscience and Remote Sensing Letters},
  year = {2025},
  publisher = {IEEE},
  volume = {22},
  dimensions = {true}
}