معرفی
Dr. Sergio Campobasso is a Senior Lecturer in Renewable Energy Engineering at the School of Engineering, Lancaster University, where he has worked since January 2013. He holds a Postgraduate Diploma in Turbomachinery from the Von Karman Institute (Belgium, 1996) and a PhD in Numerical Analysis from Oxford University (2004).
- Education: Postgraduate Diploma in Turbomachinery (Von Karman Institute), PhD in Numerical Analysis (Oxford)
- Professional Experience: BMW-Rolls Royce (aerodynamicist/stress engineer), Rolls-Royce CFD UTC (Oxford), Cranfield University (uncertainty propagation), Glasgow University (wind turbine research)
His research focuses on advancing Computational Fluid Dynamics (CFD) technologies for wind and gas turbine design, incorporating stochastic uncertainty from manufacturing and environmental variability. Key projects include:
- Development of harmonic balance Navier-Stokes solvers for unsteady flows
- Low-speed preconditioning methods for mixed-speed flow analysis
- Novel boundary conditions for complex turbomachinery geometries
- Hybrid parallelization techniques for high-performance computing
His recent publications (2020-2024) emphasize blade erosion modeling, offshore wind turbine dynamics, and machine learning applications for energy loss prediction. Current research projects (2021-2024) address predictive maintenance, emissions reduction, and multi-rotor system optimization.
