Eddie Wadbro

Eddie Wadbro is a Professor of Mathematics at Karlstad University, Sweden. His research focuses on design optimization, inverse problems, and large-scale computational methods, with applications in acoustic device design, fluid dynamics, and mechanical engineering. He leads projects in topology optimization of antennas, loudspeakers, and acoustic systems, often involving multi-physics simulations.

Key contributions include:

• Development of minimum-size control techniques for topology optimization
• Investigation of waveguide acoustic black holes for enhanced wave focusing
• Optimization of superhydrophobic surfaces to delay turbulent transition in boundary layers
• Integration of deep reinforcement learning for real-world control systems

His work bridges applied mathematics and engineering, with publications in high-impact journals and collaborations across disciplines like computational fluid dynamics and machine learning.