Juan M. Haut

Associate Professor

Juan M. Haut (Senior Member, IEEE) is an Associate Professor (Profesor Contratado Doctor) at the Department of Computer and Communication Technology at the University of Extremadura in Cáceres, Spain. He earned his B.Sc. in Computer Management Engineering (2011), B.Sc. in Computer Engineering (2014), M.Sc. in Secondary Education Teaching (2014), M.Sc. in Computer Engineering (2016), and his Ph.D. in Information Technology (2019), all from the University of Extremadura. His doctoral thesis, supervised by Drs. A. Plaza and J. Plaza, was awarded Sobresaliente Cum Laude with international mention, the Outstanding Ph.D. Award, and the IEEE Spain GRSS Best PhD Thesis Award in Remote Sensing.

His research focuses on the automatic processing of large-scale remote sensing data through novel deep learning methodologies combined with high-performance computing (GPU/HPC) and big data strategies, with particular emphasis on hyperspectral image analysis. He has authored or co-authored 85 JCR journal articles (52 Q1, 27 Q2) and more than 70 peer-reviewed conference papers at venues such as IEEE IGARSS, IEEE WHISPERS, and SARTECO. He has an h-index of 40 and over 7,600 citations (Google Scholar, March 2026). Some of his publications have been recognized by Clarivate Essential Science Indicators as Research Front and Hot Papers.

He has been recognized as Best Reviewer of IEEE GRSL (2018) and IEEE TGRS (2021), with ~400 peer reviews. He serves or has served as Associate Editor for IEEE TGRS, IEEE GRSL, IEEE JMASS, and Nature Scientific Reports. He is currently President of the Spanish Chapter of the IEEE Geoscience and Remote Sensing Society (GRSS).

He has participated in 17 competitive research projects (8 regional, 8 national, 1 European), serving as PI in 6 of them, including a European Commission project and a Leonardo Grant from the BBVA Foundation. In 2022 he received the Research Excellence Award (Young Researchers, technical field) from the University of Extremadura.

selected publications

ESWA

Federated Learning Meets Remote Sensing

S. Moreno-Álvarez, M.E. Paoletti, A.J. Sanchez-Fernandez, and 3 more authors

Expert Systems with Applications, 2024

DOI
IEEE TNNLS

Enhancing Distributed Neural Network Training through Node-Based Communications

S. Moreno-Álvarez, M.E. Paoletti, G. Cavallaro, and 1 more author

IEEE Transactions on Neural Networks and Learning Systems, 2023

DOI
Proc. IEEE

Distributed Deep Learning for Remote Sensing Data Interpretation

J.M. Haut, M.E. Paoletti, S. Moreno-Álvarez, and 3 more authors

Proceedings of the IEEE, 2021

DOI
IEEE TGRS

FLOP-Reduction through Memory Allocations within CNN for Hyperspectral Image Classification

M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author

IEEE Transactions on Geoscience and Remote Sensing, 2021

DOI
Neurocomp.

Heterogeneous Model Parallelism for Deep Neural Networks

S. Moreno-Álvarez, J.M. Haut, M.E. Paoletti, and 1 more author

Neurocomputing, 2021

DOI
IEEE TGRS

Cloud Deep Networks for Hyperspectral Image Analysis

J.M. Haut, J.A. Gallardo, M.E. Paoletti, and 4 more authors

IEEE Transactions on Geoscience and Remote Sensing, 2019

DOI
ISPRS

Deep Learning Classifiers for Hyperspectral Imaging: A Review

M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author

ISPRS Journal of Photogrammetry and Remote Sensing, 2019

DOI
ISPRS

A new deep convolutional neural network for fast hyperspectral image classification

M.E. Paoletti, J.M. Haut, J. Plaza, and 1 more author

ISPRS Journal of Photogrammetry and Remote Sensing, 2018

DOI