David Johansson

David Johansson is a Researcher in the Department of Mathematics and Statistics at the University of Jyväskylä, affiliated with the Faculty of Mathematics and Science. He is part of the Inverse Problems research group, which focuses on mathematical theory and practical implementation of indirect measurements. His work spans theoretical and applied mathematics, with a focus on inverse problems, partial differential equations, and computational methods.

Research interests include inverse problems for PDEs, corrosion detection via boundary condition analysis, and parameter identification in heterogeneous media. He has also contributed to network optimization, including energy-efficient virtual network function placement and robustness strategies in telecommunications. His earlier work includes contributions to coding theory using graph-based approaches and Galois fields.

Publications highlight interdisciplinary applications of mathematics, bridging pure and applied domains. No scientific awards are explicitly mentioned, but his active research output reflects sustained contributions to these fields. His position involves collaborative research within the Inverse Problems group and academic outreach through publications.