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• 3 sexenios de investigación concedidos: 2000-2005, 2006-2011, 2012-2017
• 5 tesis doctorales dirigidas
• Indicios de calidad según Scopus:
o 689 citas recibidas, 52 citas/año en los últimos cinco años(2018-22)
o Índice h13
• Indicios de calidad según Google Scholar:
o 1097 citas recibidas, 75 citas/año de media en los últimos 5 años (2018-22)
o Índice h16
Artículos
- García-Poyo, M. Carmen; Bérail, Sylvain; Ronzani, Anne Laure; Rello, Luis; García-González, Elena; Nakadi, Flávio V.; Aramendía, Maite; Resano, Javier; Resano, Martín; Pécheyran, Christophe. Cu fractionation, isotopic analysis, and data processing via machine learning: new approaches for the diagnosis and follow up of Wilson's disease via ICP-MS. JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY. 2023. DOI: 10.1039/D2JA00267A
- Aramendía, Maite; Leite, Diego; Resano, Javier; Resano, Martín; Billimoria, Kharmen; Goenaga-Infante, Heidi. Isotope dilution analysis for particle mass determination using single-particle inductively coupled plasma time-of-flight mass spectrometry: application to size determination of silver nanoparticles. NANOMATERIALS. 2023. DOI: 10.3390/nano13172392
- Haut, Juan M.; Alcolea, Adrian; Paoletti, Mercedes E.; Plaza, Javier; Resano, Javier; Plaza, Antonio. GPU-friendly neural networks for remote sensing scene classification. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 2022. DOI: 10.1109/LGRS.2020.3019378
- Alcolea, Adrián; Resano, Javier. Bayesian neural networks to analyze hyperspectral datasets using uncertainty metrics. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 2022. DOI: 10.1109/TGRS.2022.3205119
- Aramendía, M.; García-Mesa, J. C.; Alonso, E. V.; Garde, R.; Bazo, A.; Resano, J.; Resano, M. A novel approach for adapting the standard addition method to single particle-ICP-MS for the accurate determination of NP size and number concentration in complex matrices; 35414390. ANALYTICA CHIMICA ACTA. 2022. DOI: 10.1016/j.aca.2022.339738
- Alcolea, A.; Resano, J. FPGA accelerator for gradient boosting decision trees. ELECTRONICS. 2021. DOI: 10.3390/electronics10030314
- Gracia, S.; Olivito, J.; Resano, J.; Martin-Del-Brio, B.; de Alfonso, M.; Álvarez, E. Improving accuracy on wave height estimation through machine learning techniques. OCEAN ENGINEERING. 2021. DOI: 10.1016/j.oceaneng.2021.108699
- Alcolea, Adrián; Paoletti, Mercedes E.; Haut, Juan M.; Resano, Javier; Plaza, Antonio. Inference in supervised spectral classifiers for on-board hyperspectral imaging: An overview. REMOTE SENSING. 2020. DOI: 10.3390/rs12030534
- Alcolea Moreno, A.; Olivito, J.; Resano, J.; Mecha, H. Analysis of a Pipelined Architecture for Sparse DNNs on Embedded Systems. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS. 2020. DOI: 10.1109/TVLSI.2020.3005451
- Olivito, Javier; Serrano, Felipe; Clemente, Juan Antonio; Mecha, Hortensia; Resano, Javier. Analysis of the reconfiguration latency and energy overheads for a Xilinx Virtex-5 FPGA. IET COMPUTERS AND DIGITAL TECHNIQUES. 2018. DOI: 10.1049/iet-cdt.2016.0095
- Olivito, Javier; Resano Ezcaray, Javier; Briz Velasco, José Luis. Accelerating board games through Hardware/Software Codesign. IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES. 2017. DOI: 10.1109/TCIAIG.2016.2604923
- Clemente, Juan Antonio; Gran Tejero, Rubén; Chocano, Abel; del Prado, Carlos; Resano, Javier. Hardware Architectural Support for Caching Partitioned Reconfigurations in Reconfigurable Systems. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS. 2015. DOI: 10.1109/TVLSI.2015.2417595
- Olivito, J.; Gran, R.; Resano, J.; González, C.; Torres, E. Performance and energy efficiency analysis of a Reversi player for FPGAs and General Purpose Processors. MICROPROCESSORS AND MICROSYSTEMS. 2015. DOI: 10.1016/j.micpro.2015.01.001
- Clemente, J. A.; Ramo, E. P.; Resano, J.; Mozos, D.; Catthoor, F. Configuration mapping algorithms to reduce energy and time reconfiguration overheads in reconfigurable systems. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS. 2014. DOI: 10.1109/TVLSI.2013.2271917
- Clemente, Juan Antonio; Resano Ezcaray, Jesús Javier; Mozos, Daniel. An approach to manage reconfigurations and reduce area cost in hard real-time reconfigurable systems. ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS. 2014. DOI: 10.1145/2560037
- Gonzalez,C.;Sanchez,S.;Paz,A.;Resano,J.;Mozos,D.;Plaza,A. Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing. INTEGRATION-THE VLSI JOURNAL. 2013. DOI: 10.1016/j.vlsi.2012.04.002
- Lopez,S.;Vladimirova,T.;Gonzalez,C.;Resano,J.;Mozos,D.;Plaza,A. The promise of reconfigurable computing for hyperspectral imaging onboard systems: A review and trends. PROCEEDINGS OF THE IEEE. 2013. DOI: 10.1109/JPROC.2012.2231391
- Gonzalez, C.; Resano, J.; Plaza, A.; Mozos, D. FPGA Implementation of Abundance Estimation for Spectral Unmixing of Hyperspectral Data Using the Image Space Reconstruction Algorithm. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 2011. DOI: 10.1109/JSTARS.2011.2171673
- Clemente,J. A.;Resano,J.;González,C.;Mozos,D. A Hardware implementation of a run-time scheduler for reconfigurable systems. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS. 2011. DOI: 10.1109/TVLSI.2010.2050158
- González, C.; Mozos, D.; Resano, J.; Plaza, A. FPGA Implementation of the N-FINDR Algorithm for Remotely Sensed Hyperspectral Image Analysis. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 2011. DOI: 10.1109/TGRS.2011.2171693
- Antonio Clemente, Juan;Gonzalez, Carlos;Resano, Javier ;Mozos, Daniel. A task graph execution manager for reconfigurable multi-tasking systems. MICROPROCESSORS AND MICROSYSTEMS. 2010
- González, C.;Resano, J.;Mozos, D.;Plaza, A. ;Valencia, D. FPGA Implementation of the pixel purity index algorithm for remotely sensed hyperspectral image analysis. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING. 2010
- Resano, J; Clemente, Ja; González, C; Mozos, D; Catthoor, F. Efficiently scheduling runtime reconfigurations. ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS. 2008. DOI: 10.1145/1391962.1391966
- Ramo, E.P.; Resano, J.; Mozos, D.; Catthoor, F. Memory hierarchy for high-performance and energyaware reconfigurable systems. IET COMPUTERS AND DIGITAL TECHNIQUES. 2007. DOI: 10.1049/iet-cdt:20060155
- Resano, J.; Mozos, D.; Verkest, D.; Catthoor, F. A reconfigurable manager for dynamically reconfigurable hardware. IEEE DESIGN & TEST OF COMPUTERS. 2005. DOI: 10.1109/MDT.2005.100
- Resano, J; Verkest, D; Mozos, D: Vernalde, S; Catthoor, F. A hybrid design-time/run-time scheduling flow to minimise the reconfiguration overhead of FPGAs. MICROPROCESSORS AND MICROSYSTEMS. 2004. DOI: 10.1016/j.micpro.2004.03.015
- Resano, J; Pérez, M.E ; Mozos, D; Mecha,H; Septién,. Analyzing communication overheads during hardware/software partitioning. MICROELECTRONICS JOURNAL. 2003. DOI: 10.1016/S0026-2692(03)00168-X
Comunicaciones
- González,C.;Mozos,D.;Resano,J.;Plaza,A. FPGA implementation of endmember extraction algorithms from hyperspectral imagery: Pixel purity index versus N-FINDR. PROCEEDINGS OF SPIE - THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. 2011. DOI: 10.1117/12.897384
- Resano, J.; Mozos, D.; Catthoor, F. A Hybrid Prefetch Scheduling Heuristic to Minimize at Run-Time the Reconfiguration Overhead of Dynamically Reconfigurable Hardware. PROCEEDINGS - DESIGN, AUTOMATION, AND TEST IN EUROPE CONFERENCE AND EXHIBITION. 2005. DOI: 10.1109/DATE.2005.18
Dirección de tesis
- Analysis of perfomance, power consumption and energy efficiency of modern FPGAs and microprocessors. Universidad de Zaragoza. Sobresaliente cum laude. 29/06/17
- Procesamiento a bordo de imágenes hiperespectrales mediante hardware reconfigurable. Universidad Complutense de Madrid. Sobresaliente Cun Laude. 11/11/11
- Técnicas de planificación en entornos reconfigurables para aplicaciones multimedia. Complutense de Madrid. Sobresaliente cum laude. 16/06/11
- Técnicas para reducir la penalización en rendimiento y consumo debido a la reconfiguración dinámica. Complutense de Madrid. Sobresaliente cum laude. 16/10/09
Docencia UNIZAR de los últimos seis cursos
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