2021

1. Cebrian, J. M., Imbernón, B., Soto, J., & Cecilia, J. M. (2021). Evaluation of Clustering Algorithms on HPC Platforms. Mathematics, 9(17), 2156.

2. Hernández, D., Cano, J. C., Silla, F., Calafate, C. T., & Cecilia, J. M. (2021). AI-enabled autonomous drones for fast climate change crisis assessment. IEEE Internet of Things Journal.

3. Alcalá, F. J., Martínez-Valderrama, J., Gomáriz-Castillo, F., Hernández, C. G., & Cecilia, J. M. (2021). Scientific Programming Tools for Water Management.

4. García-Cremades, S., Morales-García, J., Hernández-Sanjaime, R., Martínez-España, R., Bueno-Crespo, A., Hernández-Orallo, E., ... & Cecilia, J. M. (2021). Improving prediction of COVID-19 evolution by fusing epidemiological and mobility data. Scientific Reports, 11(1), 1-16.

5. Imbernón, B., Serrano, A., Bueno-Crespo, A., Abellán, J. L., Pérez-Sánchez, H., & Cecilia, J. M. (2021). METADOCK 2: a high-throughput parallel metaheuristic scheme for molecular docking. Bioinformatics, 37(11), 1515-1520.

6. Terroso-Sáenz, F., Muñoz, A., Fernández-Pedauye, J., & Cecilia, J. M. (2021). Human Mobility Prediction With Region-Based Flows and Water Consumption. IEEE Access, 9, 88651-88663.

7. Senent-Aparicio, J., Jimeno-Sáez, P., López-Ballesteros, A., Giménez, J. G., Pérez-Sánchez, J., Cecilia, J. M., & Srinivasan, R. (2021). Impacts of swat weather generator statistics from high-resolution datasets on monthly streamflow simulation over Peninsular Spain. Journal of Hydrology: Regional Studies, 35, 100826.

8. Nakamura, K., Hernández, D., Cecilia, J. M., Manzoni, P., Zennaro, M., Cano, J. C., & Calafate, C. T. (2021). LADEA: A Software Infrastructure for Audio Delivery and Analytics. Mobile Networks and Applications, 1-7.

9. Cecilia, J. M., Cano, J., Calafate, C. T., Manzoni, P., Perinan-Pascual, C., Arcas-Tunez, F., & Munoz-Ortega, A. (2021). WATERSensing: A smart warning system for natural disasters in Spain. IEEE Consumer Electronics Magazine.

10. Guillén‐Navarro, M. A., Martínez‐España, R., López, B., & Cecilia, J. M. (2021). A high‐performance IoT solution to reduce frost damages in stone fruits. Concurrency and Computation: Practice and Experience, 33(2), e5299.

11. Jimeno-Sáez, P., Blanco-Gómez, P., Pérez-Sánchez, J., Cecilia, J. M., & Senent-Aparicio, J. (2021). Impact Assessment of Gridded Precipitation Products on Streamflow Simulations over a Poorly Gauged Basin in El Salvador. Water, 13(18), 2497.

2020

1. Guillén-Navarro, M. A., Martínez-España, R., Bueno-Crespo, A., Morales-García, J., Ayuso, B., & Cecilia, J. M. (2020). A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers. Sensors, 20(24), 7129.

2. Cecilia, J. M., Cano, J. C., Morales-García, J., Llanes, A., & Imbernón, B. (2020). Evaluation of Clustering Algorithms on GPU-Based Edge Computing Platforms. Sensors, 20(21), 6335.

3. Serrano, Antonio, et al. "QN-Docking: An innovative molecular docking methodology based on Q-Networks." Applied Soft Computing (2020): 106678.

4. Cano, J. C., Cecilia, J. M., Hernandez-Orallo, E., Calafate, C., & Manzoni, P. (2020). Mobile crowdsensing approaches to address the COVID-19 pandemic in Spain. IET Smart Cities.

5. Guillén, M.A., Llanes, A., Imbernón, B. et al. Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning. J Supercomput (2020). https://doi.org/10.1007/s11227-020-03288-w

6. Cantabella, M., Guillén, M. Á., López, B., Muñoz, A., & Cecilia, J. M. (2020). Evaluation of parallel programming teaching methodologies: On‐campus versus online methodologies. Computer Applications in Engineering Education, 28(2), 229-238.

7. Hernández, M., Cebrián, J. M., Cecilia, J. M., & García, J. M. (2020). Offloading strategies for Stencil kernels on the KNC Xeon Phi architecture: Accuracy versus performance. The International Journal of High Performance Computing Applications, 34(2), 199-207.

8. Cebrian, J. M., Imbernón, B., Soto, J., García, J. M., & Cecilia, J. M. (2020). High-throughput fuzzy clustering on heterogeneous architectures. Future Generation Computer Systems, 106, Pages 401-411

9. Jimeno-Sáez, P., Senent-Aparicio, J., Cecilia, J. M., & Pérez-Sánchez, J. (2020). Using Machine-Learning Algorithms for Eutrophication Modeling: Case Study of Mar Menor Lagoon (Spain). International Journal of Environmental Research and Public Health, 17(4), 1189.

10. Navarro, J. M., Martínez-España, R., Bueno-Crespo, A., Martínez, R., & Cecilia, J. M. (2020). Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network. Sensors, 20(3), 903.

11. Guillén-Navarro, M. A., Martínez-España, R., Llanes, A., Bueno-Crespo, A., & Cecilia, J. M. (2020). A deep learning model to predict lower temperatures in agriculture. Journal of Ambient Intelligence and Smart Environments, (Preprint), 1-14.

12. Cecilia, J. M. (2020). Guest editors’ note: Special issue on novel high-performance computing algorithms and platforms in bioinformatics. The International Journal of High Performance Computing Applications, 34(1), 3–4.

2019-2009

1. Terroso-Saenz, F., Muñoz, A., & Cecilia, J. M. (2019). QUADRIVEN: A framework for qualitative taxi demand prediction based on time-variant online social network data analysis. Sensors, 19(22), 4882.

2. Cecilia, J. M., & García, J. M. (2019). Re-engineering the ant colony optimization for CMP architectures. The Journal of Supercomputing, 1-22.

3. Contreras, A. V., Llanes, A., Herrera, F. J., Navarro, S., López-Espín, J. J., & Cecilia, J. M. (2019). Enhancing the context-aware FOREX market simulation using a parallel elastic network model. The Journal of Supercomputing, 1-17.

4. Saadi, H., Taboudjemat, N. N., Rahmoun, A., Pérez-Sánchez, H., & Cecilia, J. M. (2019). Efficient GPU-based parallelization of solvation calculation for the blind docking problem. The Journal of Supercomputing, 1-19.

5. Hernández-Díaz, A. M., Bueno-Crespo, A., Pérez-Aracil, J., & Cecilia, J. M. (2018). Multi-objective optimal design of submerged arches using extreme learning machine and evolutionary algorithms. Applied Soft Computing, 71, 826-834.

6. Martínez-España, R., Bueno-Crespo, A., Timón, I., Soto, J., Muñoz, A. & Cecilia, José M (2018). Air-Pollution Prediction in Smart Cities through Machine Learning Methods: A Case of Study in Murcia, Spain 24(3) 261-276.

7. Pérez‐Serrano, J., Imbernón, B., Cecilia, J. M., & Ujaldón, M. (2018). Energy‐based tuning of metaheuristics for molecular docking on multi‐GPUs. Concurrency and Computation: Practice and Experience, 30(17), e4684.

8. Contreras, A. V., Llanes, A., Pérez-Bernabeu, A., Navarro, S., Pérez-Sánchez, H., López-Espín, J. J., & Cecilia, J. M. (2018). ENMX: An elastic network model to predict the FOREX market evolution. Simulation Modelling Practice and Theory, 86, 1-10.

9. Cecilia, J.M., Cutillas-Lozano, JM., Giménez, D. et al. J Supercomput (2018). Exploiting multilevel parallelism on a many-core system for the application of hyperheuristics to a molecular docking problem 74: 1803.

10. Cecilia, J. M., Timón, I., Soto, J., Santa, J., Pereñíguez, F., & Muñoz, A. (2018). High-Throughput Infrastructure for Advanced ITS Services: A Case Study on Air Pollution Monitoring. IEEE Transactions on Intelligent Transportation Systems, (99), 1-12.

11. Cecilia, J. M., Llanes, A., Abellán, J. L., Gómez-Luna, J., Chang, L. W., & Hwu, W. M. W. (2018). High-throughput Ant Colony Optimization on graphics processing units. Journal of Parallel and Distributed Computing, 113, 261-274.

12. Imbernón, B., Prades, J., Giménez, D., Cecilia, J. M., & Silla, F. (2018). Enhancing large-scale docking simulation on heterogeneous systems: An MPI vs rCUDA study. Future Generation Computer Systems, 79, 26-37.

13. Cebrián, J. M., Cecilia, J. M., Hernández, M., & García, J. M. (2017). Code modernization strategies to 3-D Stencil-based applications on Intel Xeon Phi: KNC and KNL. Computers & Mathematics with Applications, 74(10), 2557-2571.

14. España, R. M., Hernández-Díaz, A. M., Cecilia, J. M., & García-Román, M. D. (2017). Evolutionary strategies as applied to shear strain effects in reinforced concrete beams. Applied Soft Computing, 57, 164-176.

15. Jimeno-Sáez, P., Senent-Aparicio, J., Pérez-Sánchez, J., Pulido-Velazquez, D., & Cecilia, J. M. (2017). Estimation of Instantaneous Peak Flow Using Machine-Learning Models and Empirical Formula in Peninsular Spain. Water, 9(5), 347.

16. Cecilia, J. M., Hernández-Díaz, A. M., Castrillo, P., & Jiménez-Alonso, J. F. (2017). Enhanced calculation of eigen-stress field and elastic energy in atomistic interdiffusion of alloys. Computer Physics Communications, 211, 23-30.

17. Hernandez-Diaz, A. M., Cecilia, J. M., & Garcia-Roman, M. D. (2017). Adjustment of shear models for structural concrete using genetic algorithms. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, 33(1-2), 52-57.

18. Imbernón, B., Cecilia, J. M., Pérez-Sánchez, H., & Giménez, D. (2017). METADOCK: A parallel metaheuristic schema for virtual screening methods. The International Journal of High Performance Computing Applications.

19. Llanes, A., Muñoz, A., Bueno-Crespo, A., García-Valverde, T., Sánchez, A., Arcas-Túnez, F., ... & M Cecilia, J. (2016). Soft Computing Techniques for the Protein Folding Problem on High Performance Computing Architectures. Current drug targets, 17(14), 1626-1648.

20. Timón, I., Soto, J., Pérez-Sánchez, H., & Cecilia, J. M. (2016). Parallel implementation of fuzzy minimals clustering algorithm. Expert Systems with Applications, 48, 35-41.

21. Llanes, A., Cecilia, J. M., Sánchez, A., García, J. M., Amos, M., & Ujaldón, M. (2016). Dynamic load balancing on heterogeneous clusters for parallel ant colony optimization. Cluster Computing, 19(1), 1-11.

22. Pérez-Sánchez, H., Cano, G., Garcia-Rodriguez, J., & Cecilia, J. M. (2015). Virtual screening refined with parallel neural approaches improves drug discovering. Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, 31(4), 207-211.

23. Hernández, M., Imbernón, B., Navarro, J. M., García, J. M., Cebrián, J. M., & Cecilia, J. M. (2015). Evaluation of the 3-D finite difference implementation of the acoustic diffusion equation model on massively parallel architectures. Computers & Electrical Engineering, 46, 190-201.

24. García-Martínez, J. M., Garzón, E. M., Cecilia, J. M., Pérez-Sánchez, H., & Ortigosa, P. M. (2015). An efficient approach for solving the HP protein folding problem based on UEGO. Journal of Mathematical Chemistry, 53(3), 794-806.

25. Cecilia, J. M., García, J. M., Guerrero, G. D., & Ujaldón, M. (2014). Evaluating the SAT problem on P systems for different high-performance architectures. The Journal of Supercomputing, 69(1), 248-272.

26. Guerrero, G. D., Cecilia, J. M., Llanes, A., García, J. M., Amos, M., & Ujaldón, M. (2014). Comparative evaluation of platforms for parallel ant colony optimization. The Journal of Supercomputing, 69(1), 318-329.

27. Guerrero, G. D., Cebrián, J. M., Pérez‐Sánchez, H., García, J. M., Ujaldón, M., & Cecilia, J. M. (2014). Toward energy efficiency in heterogeneous processors: findings on virtual screening methods. Concurrency and Computation: Practice and Experience, 26(10), 1832-1846.

28. Guerrero, G. D., Wallace, R. M., Vázquez‐Poletti, J. L., Cecilia, J. M., García, J. M., Mozos, D., & Pérez‐Sánchez, H. (2014). A performance/cost model for a CUDA drug discovery application on physical and public cloud infrastructures. Concurrency and Computation: Practice and Experience, 26(10), 1787-1798.

29. Guerrero, G. D., Imbernón, B., Pérez-Sánchez, H., Sanz, F., García, J. M., & Cecilia, J. M. (2014). A performance/cost evaluation for a GPU-based drug discovery application on volunteer computing. BioMed research international, 2014.

30. Vigueras, G., Orduña, J. M., Lozano, M., Cecilia, J. M., & García, J. M. (2014). Accelerating collision detection for large-scale crowd simulation on multi-core and many-core architectures. The International Journal of High Performance Computing Applications, 28(1), 33-49.

31. Zhang, Q., Wang, J., Guerrero, G. D., Cecilia, J. M., García, J. M., Li, Y., ... & Hou, T. (2013). Accelerated conformational entropy calculations using graphic processing units. Journal of chemical information and modeling, 53(8), 2057-2064.

32. Hernández, M., Guerrero, G. D., Cecilia, J. M., García, J. M., Inuggi, A., Jbabdi, S., ... & Sotiropoulos, S. N. (2013). Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs. PloS one, 8(4).

33. Cecilia, J. M., Nisbet, A., Amos, M., García, J. M., & Ujaldón, M. (2013). Enhancing GPU parallelism in nature-inspired algorithms. The Journal of Supercomputing, 63(3), 773-789.

34. Cecilia, J. M., García, J. M., Nisbet, A., Amos, M., & Ujaldón, M. (2013). Enhancing data parallelism for ant colony optimization on GPUs. Journal of Parallel and Distributed Computing, 73(1), 42-51.

35. Cecilia, J. M., Abellán, J. L., Fernández, J., Acacio, M. E., García, J. M., & Ujaldón, M. (2012). Stencil computations on heterogeneous platforms for the Jacobi method: GPUs versus Cell BE. The Journal of Supercomputing, 62(2), 787-803.

36. Sánchez-Linares, I., Pérez-Sánchez, H., Cecilia, J. M., & García, J. M. (2012). High-throughput parallel blind virtual screening using BINDSURF. BMC bioinformatics, 13(14), S13.

37. Cecilia, J. M., García, J. M., Guerrero, G. D., Martínez-del-Amor, M. A., Pérez-Jiménez, M. J., & Ujaldón, M. (2012). The GPU on the simulation of cellular computing models. Soft Computing, 16(2), 231-246.

38. Cecilia, J. M., García, J. M., Guerrero, G. D., Martínez-del-Amor, M. A., Pérez-Hurtado, I., & Pérez-Jiménez, M. J. (2010). Simulating a P system based efficient solution to SAT by using GPUs. The Journal of Logic and Algebraic Programming, 79(6), 317-325.

39. Cecilia, J. M., García, J. M., Guerrero, G. D., Martínez-del-Amor, M. A., Pérez-Hurtado, I., & Pérez-Jiménez, M. J. (2009). Simulation of P systems with active membranes on CUDA. Briefings in Bioinformatics, 11(3), 313-322.