Román Quevedo Reina

Román Quevedo Reina is an Assistant Professor in the Department of Civil Engineering at Universidad de Las Palmas de Gran Canaria (ULPGC). He is affiliated with GIR SIANI: Mechanics of Continuum Media and Structures and IU Intelligent Systems and Numerical Applications. His research focuses on computational mechanics and structural engineering with particular emphasis on offshore wind energy infrastructure.

Dr. Quevedo Reina's research interests center on the structural analysis and optimization of offshore wind turbine foundations, particularly jacket and monopile structures. His work integrates computational mechanics with artificial intelligence techniques, especially artificial neural networks, to develop efficient models for structural evaluation and optimization. He investigates soil-structure interaction phenomena, pile foundation behavior in non-homogeneous soils, and the seismic response of large offshore wind turbines. His research bridges civil engineering, renewable energy, and computational science to address challenges in sustainable energy infrastructure.

His publication record demonstrates a consistent focus on applying artificial neural networks to solve complex structural engineering problems related to offshore wind energy. The research shows progression from fundamental structural analysis (2017) to sophisticated computational models incorporating soil-structure interaction (2021-2025). Recent work emphasizes optimization techniques like PSO and global sensitivity analysis for jacket substructures, reflecting the field's evolution toward more comprehensive and efficient design methodologies for offshore wind infrastructure.

Dr. Quevedo Reina maintains strong collaborative relationships with Guillermo Manuel Álamo Meneses, Juan José Aznárez González, and Luis Alberto Padrón Hernández, among others. His work appears consistently in high-impact Q1 journals including Ocean Engineering, Engineering Structures, and Computers & Structures, demonstrating the significance and quality of his research contributions to the field of offshore wind energy infrastructure.