Nicolás Calvo Cruz

Investigador post-doctoral

Post-doctoral researcher

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Imagen de N.C. Cruz

Universidad de Granada
Calle Periodista Daniel Saucedo Aranda
18014, Granada, España
Email: ncalvocruz [at] ugr.es
University of Granada
Journalis Daniel Saucedo Aranda Street
18014, Granada, Spain
Email: ncalvocruz [at] ugr.es


Formación básica

  • Grado en Ingeniería Informática. Universidad de Almería (2010-2014).
  • Máster en Ingeniería Informática. Universidad de Almería (2014-2016).
  • Doctor en Informática. Universidad de Almería (2015-2019).

Formal education

  • Bachelor in Computer Engineering. University of Almeria (2010-2014).
  • Master in Computer Engineering. University of Almeria (2014-2016).
  • Ph.D. in Computer Science. University of Almeria (2015-2019).

Ayudas recibidas

  • Beneficiario de una beca FPU con identificación FPU14/01728 del Ministerio de Educación, Cultura y Deporte Español (Secretaría de Estado de Educación, Formación Profesional y Universidades).
  • Contrato Puente del Plan Propio de la Universidad de Almería
  • Contrato del “Plan Andaluz de Investigación, Desarrollo e Innovación en la Universidad de Granada (PAIDI 2021: POSTDOC_ 21_00124)”

Grants obtained

  • FPU fellowship with ID FPU14/01728 financied by the Spanish Minister of Education, Culture and Sport (Secretary of Educational State, Formal Training, and Universities).
  • Bridge Contract from the Research Plan of the University of Almería
  • Contract from the Andalusian Plan of Research, Development and Innovation at the University of Granada (PAIDI 2021: POSTDOC_21_00124)

Grupo de Investigación

Nombre: Supercomputación - Algoritmos
Código: TIC-146 (PAI 7069)
Investigador principal: Gracia Ester Martín Garzón
Institución: Universidad de Almería
Centro: Escuela Politécnica Superior y Facultad de Ciencias Experimentales
Departamento: Informática
Dirección: Ctra. Sacramento s/n. 04120, Almería, España
Teléfono: (+34) 950 015489
Web: http://www.hpca.ual.es/

Research Group

Name: Supercomputing - Algorithms
Code: TIC-146 (PAI 7069)
Principal Investigator: Gracia Ester Martín Garzón
Institution: University of Almeria
Center: Higher Polytechnic School and Faculty of Experimental Sciences
Department: Informatics
Address: Sacramento Road n/a. 04120, Almeria, Spain
Phone number: (+34) 950 015489
Web: http://www.hpca.ual.es/

Producción

Production

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Revistas internacionales

International journals

  1. N.C. Cruz, J.L. Redondo, J.D. Álvarez, M. Berenguel, A. Becerra-Terón yand P.M. Ortigosa. High performance computing for the heliostat field layout evaluation. The Journal of Supercomputing, 73(1), 259-276, 2017.
  2. N.C. Cruz, J.L. Redondo, J.D. Álvarez, M. Berenguel yand P.M. Ortigosa. A parallel Teaching–Learning-Based Optimization procedure for automatic heliostat aiming. The Journal of Supercomputing, 73(1), 591-606, 2017.
  3. N.C. Cruz, J.L. Redondo, M. Berenguel, J.D. Álvarez yand P.M. Ortigosa. Review of software for optical analyzing and optimizing heliostat fields. Renewable and Sustainable Energy Reviews, 72, 1001-1018, 2017.
  4. N.C. Cruz, J.D. Álvarez, J.L. Redondo, J. Fernández-Reche, M. Berenguel, R. Monterreal yand P.M. Ortigosa. A New Methodology for Building-Up a Robust Model for Heliostat Field Flux Characterization. Energies, 10(5), 730:1-17 (DOI: 10.3390/en10050730), 2017.
  5. N.C. Cruz, J.L. Redondo, J.D. Álvarez, M. Berenguel yand P.M. Ortigosa. Optimizing the Heliostat Field Layout by Applying Stochastic Population-Based Algorithms. Informatica, 29(1), 21-39, 2018.
  6. N.C. Cruz, J.D. Álvarez, J.L. Redondo, M. Berenguel yand P.M. Ortigosa. A two-layered solution for automatic heliostat aiming. Engineering Applications of Artificial Intelligence, 72, 253-266, 2018.
  7. N.C. Cruz, S. Salhi, J.L. Redondo, J.D. Álvarez, M. Berenguel yand P.M. Ortigosa. Design of a parallel genetic algorithm for continuous and pattern-free heliostat field optimization. The Journal of Supercomputing, 75(3), 1268-1283, 2019.
  8. N.C. Cruz, S. Salhi, J.L. Redondo, J.D. Álvarez, M. Berenguel yand P.M. Ortigosa. Hector, a new methodology for continuous and pattern-free heliostat field optimization. Applied Energy, 225, 1123-1131, 2018.
  9. N.C. Cruz, R. Ferri-García, J.D. Álvarez, J.L. Redondo, J. Fernández-Reche, M. Berenguel, R. Monterreal yand P.M. Ortigosa. On building-up a yearly characterization of a heliostat field: A new methodology and an application example. Solar Energy, 173, 578-589, 2018.
  10. N.C. Cruz, J.D. Álvarez, J.L. Redondo, M. Berenguel, R. Klempous yand P.M. Ortigosa. A Simple and Effective Heuristic Control System for the Heliostat Field of Solar Power Tower Plants. Acta Polytechnica Hungarica, 17(4), 7-26, 2020.
  11. N.C. Cruz, M. Marín, J.L. Redondo, E.M. Ortigosa yand P.M. Ortigosa. A Comparative Study of Stochastic Optimizers for Fitting Neuron Models. Application to the Cerebellar Granule Cell. Informatica, 32(3), 477-498, 2021.
  12. M. Marín, N.C. Cruz, E.M. Ortigosa, M.J.S. Lara, J.A. Garrido yand R.R. Carrillo. On the use of a multimodal optimizer for fitting neuron models. Application to the cerebellar granule cell. Frontiers in Neuroinformatics, (IN-PRESS. DOI: https://doi.org/10.3389/fninf.2021.663797), 2021.
  13. J.L. Torres-Moreno, N.C. Cruz, J.D. Álvarez, J.L. Redondo yand A. Giménez-Fernández. An open-source tool for path synthesis of four-bar mechanisms. Mechanism and Machine Theory, 169, 104604, 2022.
  14. N.C. Cruz, A. González-Redondo, J.L. Redondo, J.A. Garrido, E.M. Ortigosa yand P.M. Ortigosa. Black-box and surrogate optimization for tuning spiking neural models of striatum plasticity. Frontiers in Neuroinformatics, 16:1017222, 1-17, 2022.
  15. N.C. Cruz, R. Monterreal, J.L. Redondo, J. Fernández-Reche, R. Enrique yand P.M. Ortigosa. Optical characterization of heliostat facets based on Computational Optimization. Solar Energy, 248, 1-15, 2022.
  16. M. Lupión, N.C. Cruz, J.F. Sanjuan, B. Paechter yand P.M. Ortigosa. Accelerating neural network architecture search using multi‐GPU high‐performance computing. Journal of Supercomputing, 79, 7609-7625, 2023.
  17. A.O. Topa, N.C. Cruz, J.D. Álvarez yand J.L. Torres-Moreno. On the optimal demand-side management in microgrids through polygonal composition. Sustainable Energy Grids and Networks, 34, 101066, 2023.
  18. N.C. Cruz, S. Puertas-Martín, J.L. Redondo yand P.M. Ortigosa. An Effective Solution for Drug Discovery Based on the Tangram Meta-Heuristic and Compound Filtering. Informatica, https://doi.org/10.15388/23-INFOR535, 2023.