PhD student
Email: alcolea@unizar.es
Address: Campus Río Ebro, University of Zaragoza
C/María de Luna 1, Ada Byron Building,
50018, Zaragoza, Spain
ABOUT ME
I am a PhD student at the Computer Architecture Group (gaZ) at the University of Zaragoza under the supervision of Javier Resano, where I am working on the development of hardware support for DNNs.
Before that, I graduated in Social Work from the University of Zaragoza, Spain (2010), I obtained my master degree in International Peace, Conflict and Development Studies from the University Jaume I of Castellón, Spain (2012), and then I graduated in Informatics Engineering from the University of Zaragoza, Spain (2017).
Current research
Our research is mainly focused on the development of efficient accelerators for Machine Learning techniques on Embedded Systems. Our main target application has been on-board classification of Hyperspectral Images (HI).
PUBLICATIONS
2021
Journal Articles
Alcolea, Adrián; Resano, Javier
FPGA Accelerator for Gradient Boosting Decision Trees Journal Article
In: Electronics, vol. 10, no. 3, pp. 314, 2021.
@article{alcolea2021fpga,
title = {FPGA Accelerator for Gradient Boosting Decision Trees},
author = {Adrián Alcolea and Javier Resano},
year = {2021},
date = {2021-01-01},
journal = {Electronics},
volume = {10},
number = {3},
pages = {314},
publisher = {Multidisciplinary Digital Publishing Institute},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2020
Journal Articles
Alcolea, Adrián; Paoletti, Mercedes E; Haut, Juan M; Resano, Javier; Plaza, Antonio
Inference in supervised spectral classifiers for on-board hyperspectral imaging: An overview Journal Article
In: Remote Sensing, vol. 12, no. 3, pp. 534, 2020.
@article{alcolea2020inference,
title = {Inference in supervised spectral classifiers for on-board hyperspectral imaging: An overview},
author = {Adrián Alcolea and Mercedes E Paoletti and Juan M Haut and Javier Resano and Antonio Plaza},
year = {2020},
date = {2020-01-01},
journal = {Remote Sensing},
volume = {12},
number = {3},
pages = {534},
publisher = {Multidisciplinary Digital Publishing Institute},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Haut, Juan M; Alcolea, Adrian; Paoletti, Mercedes E; Plaza, Javier; Resano, Javier; Plaza, Antonio
GPU-Friendly Neural Networks for Remote Sensing Scene Classification Journal Article
In: IEEE Geoscience and Remote Sensing Letters, 2020.
@article{haut2020gpu,
title = {GPU-Friendly Neural Networks for Remote Sensing Scene Classification},
author = {Juan M Haut and Adrian Alcolea and Mercedes E Paoletti and Javier Plaza and Javier Resano and Antonio Plaza},
year = {2020},
date = {2020-01-01},
journal = {IEEE Geoscience and Remote Sensing Letters},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Moreno, Adrián Alcolea; Olivito, Javier; Resano, Javier; Mecha, Hortensia
Analysis of a Pipelined Architecture for Sparse DNNs on Embedded Systems Journal Article
In: IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 28, no. 9, pp. 1993–2003, 2020.
@article{moreno2020analysis,
title = {Analysis of a Pipelined Architecture for Sparse DNNs on Embedded Systems},
author = {Adrián Alcolea Moreno and Javier Olivito and Javier Resano and Hortensia Mecha},
year = {2020},
date = {2020-01-01},
journal = {IEEE Transactions on Very Large Scale Integration (VLSI) Systems},
volume = {28},
number = {9},
pages = {1993--2003},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2018
Journal Articles
Moreno, Adrián Alcolea; Olivito, Javier; Resano, Javier
An Efficient Hardware Accelerator to Handle Compressed Filters and Avoid Useless Operations in CNNs Journal Article
In: Jornada de Jóvenes Investigadores del I3A, vol. 6, 2018.
@article{moreno2018efficient,
title = {An Efficient Hardware Accelerator to Handle Compressed Filters and Avoid Useless Operations in CNNs},
author = {Adrián Alcolea Moreno and Javier Olivito and Javier Resano},
year = {2018},
date = {2018-01-01},
journal = {Jornada de Jóvenes Investigadores del I3A},
volume = {6},
keywords = {},
pubstate = {published},
tppubtype = {article}
}