SENSORITHM Rhein-Main addresses the research and testing of self-learning sensor technologies to automatically detect and classify anomalies in continuous sensor data streams by means of algorithms (especially artificial intelligence, AI). At the same time, a sociological examination of the multidimensionality of innovation networks in the field of tension between technological, ecological, economic, political and social...Read More

A collaborative work with FRINAT (Freiburger Institut für angewandte Tierökologie, Freiburg) on bat signal analysis and classification has been accepted for publication in Bioacoustics journal. Abstract: Automated acoustic monitoring methods are frequently used to survey bat activity around wind turbines. The algorithms are often based on spectral features or threshold values of the recordings. Due...Read More

A joint work with colleagues from the University of Bologna (Italy) and Polish Academy of Sciences (Poland) has been accepted for publication in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (Link). Abstract: Experimental characterization of Lamb waves in plate–like structures overcomes the intrinsic limits of a–priori Semi–Analytical Finite Elements simulations, where material inaccuracies and...Read More

I am excited about the opportunity to serve as an Associate Editor on the Editorial Board of the prestigious journal Structural Health Monitoring. Link: https://journals.sagepub.com/editorial-board/SHM Image reference: SAGE journalsRead More

A joint work with the colleagues from the DFG scientific network (Link) has been accepted for publication in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (Lead: Dr. Kilian Tschöke, Fraunhofer IKTS, Dresden). Abstract: In many industrial sectors, Structural Health Monitoring (SHM) is considered as an addition to the classical nondestructive testing that can reduce...Read More

The Federal Ministry of Education and Research (BMBF) funds the project SensEMI (Implantable sensor system as osteosynthesis monitor). The grant from Goethe University Frankfurt amounts to 275.988 EUR. Project partner: SurgiTAIX AG (Herzogenrath)Read More

The Federal Ministry for Economic Affairs and Energy funds the project PROFI-WIND (Application oriented rotor blade monitoring by millimeter-wave radar). The grant from Goethe University Frankfurt amounts to 310.950 EUR. Project partner: cp.max Rotortechnik GmbH & Co. KG IMST GmbH Knowtion GmbH BOREAS Energietechnik GmbH (associated partner)Read More

The Federal Ministry for Economic Affairs and Energy funds the project AeroSense (High-frequency sensors for structural health monitoring of aircraft components). The grant from Goethe University Frankfurt amounts to 319.900 EUR. Project partner: IMST GmbH Airborne Composite (associated partner)Read More

Based on the jury’s recommendation, the Federal Ministry of Education and Research (BMBF) announced the 15 future cluster finalists of the second round of the competition. Coordinating institution of SENSORITHM Rhein-Main – Selbstlernende Sensorsysteme für Natur und Technik: Johann Wolfgang Goethe‐Universität Frankfurt am Main (Speaker: Dr. Jochen Moll, Prof. Viktor Krozer) Project partners: Technical University...Read More

A joint work with Mahindra Rautela and Prof. S. Gopalakrishnan (Department of Aerospace Engineering, Indian Institute of Science, Bangalore, India) was accepted for publication in the journal of Ultrasonics. Abstract: Structural Health Monitoring of composite structures is one of the significant challenges faced by the aerospace industry. A combined two-level damage identification viz damage detection...Read More