معرفی
Martin Berggren is a Professor at the Department of Computing Science, Umeå University, Sweden. His work focuses on Computational Design Optimization, combining computer simulations and numerical optimization to enhance engineering designs for devices like antennas, microwave components, and loudspeakers. Berggren is also active in mathematical modeling of physical phenomena, particularly wave propagation and fluid mechanics, with a strong emphasis on finite-element methods.
His research addresses large-scale conceptual design problems using thousands to millions of design variables, relying on gradient-based algorithms and adjoint-based computations of design sensitivities—similar to back-propagation in deep learning. Key application areas include acoustic and electromagnetic devices, where he investigates damping mechanisms, boundary conditions, and material distribution. Other interests, though less active, involve flow control and unsteady fluid–structure interaction.
Berggren collaborates extensively on projects such as Structured Regularization, Topology Optimization of Acoustic Black Holes, and Design of Microstrip-to-Waveguide Transitions. His publications span journals like Journal of Computational Physics, Pattern Analysis and Applications, and IEEE Transactions on Antennas and Propagation, often co-authored with researchers like Linus Hägg, Eddie Wadbro, and Disi Lin.
