Prof. Mikel Larrea

Computer Architecture and Technology Department

University of the Basque Country UPV/EHU, Spain

Full Professor

Email: [email protected]

Qualifications

2000 Ph.D., Computer Science, University of the Basque Country UPV/EHU, Spain

1995 M.S., Computer Science, École Poytechnique Fédérale de Lausanne, Switzerland

Research Fields

Distributed Computing

Fault Tolerance

Ubiquitous Computing

Publications (selected)

1. Iturbe L, Irigoyen Gordo E, Larrea M, et al. Validación de modelos neuronales mediante la matriz de ganancias relativas[J]. Revista Iberoamericana de Automática e Informática industrial, 2025, 23(1): 1-12.

2. Gordo E I, Maiocchetti E, Larrea M, et al. Estudio de las Redes PINN como modelos de sistemas din´ amicos[J]. Simposios del Comité Español de Automática (CEA), 2025, 1(2).
3. Irigoyen E, Larrea M, Graña M. A narrative review of haptic technologies and their value for training, rehabilitation, and the education of persons with special needs[J]. Sensors, 2024, 24(21): 6946.
4. Irigoyen E, Larrea M, Graña M. Haptic Technology: A Valuable Paradigm for Reinforcing Learning Processes in Early Childhood Special Education[J]. 2024.
5. Estevez J, Garate G, Lopez-Guede J M, et al. Review of aerial transportation of suspended-cable payloads with quadrotors[J]. Drones, 2024, 8(2): 35.
6. Larrea M, Irigoyen E, Artaza F, et al. Model-Based Design of the IMO-NMPC Strategy: Real-Time Implementation[C]//International Conference on Soft Computing Models in Industrial and Environmental Applications. Cham: Springer Nature Switzerland, 2023: 71-81.
7. Amozarrain U, Larrea M. Using publish/subscribe for message routing in mobile environments[J]. Wireless Networks, 2023, 29(4): 1831-1842.
8. Zabaljauregi A, Alonso A, Larrea M, et al. Control of mimo systems with imo-nmpc strategy[C]//International Workshop on Soft Computing Models in Industrial and Environmental Applications. Cham: Springer Nature Switzerland, 2022: 474-483.
9. Alonso A, Zabaljauregi A, Larrea M, et al. Studying the use of ANN to estimate state-space variables for MIMO systems in a NMPC strategy[C]//International Workshop on Soft Computing Models in Industrial and Environmental Applications. Cham: Springer Nature Switzerland, 2022: 464-473.
10. Larrea M, Porto A, Irigoyen E, et al. Extreme learning machine ensemble model for time series forecasting boosted by PSO: Application to an electric consumption problem[J]. Neurocomputing, 2021, 452: 465-472.

Personal Details

http://www.sc.ehu.es/acwlaalm/

https://scholar.google.com/citations?user=dhXM2-sAAAAJ&hl=en

https://www.researchgate.net/profile/Mikel-Larrea-2

https://orcid.org/0000-0002-9223-9355

WoS Researcher ID: D-3385-2012