Ibuki Kusano

Ibuki Kusano is an Associate Professor in the Department of Industrial Engineering at IQS School of Engineering, Universitat Ramon Llull. His research is centered on structural and aerodynamic optimization of civil infrastructure, particularly long-span bridges, with a strong emphasis on probabilistic and reliability-based design methodologies.

His research interests include:

• Probabilistic Optimisation of Structures
• Aerodynamics of Suspension Bridges
• Optimisation Based on Surrogate Models
• Co-Kriging
• Computational Fluid Dynamics (CFD)
• Reliability-Based Design Optimization

His recent publications demonstrate a consistent focus on integrating advanced computational techniques—such as machine learning, surrogate modeling, and CFD—with structural engineering to improve the safety, efficiency, and performance of bridge systems. The research trends highlight a shift toward data-driven and probabilistic frameworks for predicting wind-induced responses, flutter stability, and energy generation in offshore wind farms.

His scientific contributions have been supported by research grants from AGAUR (Agència de Gestió d'Ajuts Universitaris i de Recerca) through the GEPI research group. He is actively involved in interdisciplinary projects such as offshore wind farm data analysis using machine learning for energy prediction. While no formal awards are listed, his h-index of 7 and 325 citations reflect a solid research impact.

Kusano contributes to academic training through the Master’s and Bachelor’s programs in Industrial Engineering at IQS, and his work is conducted within the GEPI – Industrial Products Engineering Group, which focuses on additive manufacturing, reverse engineering, and material characterization.