Alexander Lange studied civil engineering at Technische Universität Berlin with focus on structural dynamics. During his master thesis, he analyzed ambient vibration data of a multistorey building using a seismic interferometry algorithm in order to further evaluate possible applications of that method in the field of structural health monitoring. After his graduation in 2017, Alexander Lange started his career as a project engineer in Würzburg, Germany. There he mainly worked in the field of vibration protection, both for civil infrastructures and industrial machines.
Since October 2019, Mr. Lange is working as a research assistant at the Institut für Informationsverarbeitung focussing on the application of machine learning for structural health monitoring of civil infrastructures, namely bridges and rotorblades. Currently, he is working on two-stage algorithms for preliminary percussive sound extraction from continuous structure- / airborne sound signals and subsequent classification of damage events using machine learning. Due to very limited availability of damage-related data, his primary research interests lie in the fields of semi-supervised learning and generative modelling.