Eddie Wadbro

Eddie Wadbro is a Visiting Professor at the Department of Computing Science, Umeå University. His research spans computational mechanics, acoustics, and machine learning, focusing on topology optimization and its applications in industrial design, forestry, and electromagnetics. He actively collaborates across disciplines to solve complex engineering challenges.

• Key Research Areas: Topology optimization, acoustic wave control, machine learning for industrial systems, fluid dynamics
• Recent Trends: Alzheimer's disease classification via morphological analysis, deep reinforcement learning for autonomous machinery, multiscale material design
• Collaborations: Works with experts in forestry engineering, electromagnetics, and biomedical imaging.