Prof. Dr. Gordon Elger
Head of Fraunhofer Application Center "Connected Mobility and Infrastructure"; Research Professor Assembly and Connection Technology
Vita
- Since 2016 Research Professor Assembly and Connection Technology
- Since 2013 at THI
- 1999 - 2002, Fraunhofer Institut for Reliability and Microintegration, Scientific Coworker
- 2002 - 2004, Hymite GmbH Berlin, Teamleader Microelectronic Packaging
- 2005 - 2007, Electrolux Italy, R&D Manager CAE (Structural Analysis and Heatmanagement)
- PhD, Free University of Berlin
- Physics studies, Free University of Berlin
Publications
- Reliability analysis and condition monitoring of SAC+ solder joints under high thermomechanical stress conditions using neuronal networks, A. Zippelius, A. Hanß, M. Schmid, J. Perez-Velazquez, G. Elger, Microelectronics Reliability 129 (2022) 114461, doi.org/10.1016/j.microrel.2021.114461
- Die-attach bonding with etched micro brass metal pigment flakes for high power electronics packaging, S. K. Bhogaraju, H. R. Kotadia, F. Conti, A. Mauser, T. Rubenbauer, R. Bruetting, M. Schneider-Ramelow, G. Elger, ACS Applied Electronic Materials, 2021, Article ASAP, DOI: 10.1021/acsaelm.1c00721
- Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry, A. Theissler, J. Perez-Velazquez, M. Kettelgerdes, G. Elger, Reliability Engineering & System Safety, 2021, 215(19):107864, DOI:10.1016/j.ress.2021.107864
- Comparison of Nondestructive Testing Methods for Solder, Sinter, and Adhesive Interconnects in Power and Opto-Electronics, M. Schmid, S. K. Bhogaraju, E Liu, G. Elger, 2020, Applied Sciences 10(23):8516, DOI: 10.3390/app10238516
- Analysis of Thermomechanical Stress in GaN LEDs Soldered on Cu Substrate by Finite Element Method and RAMAN Spectroscopy, E Liu, F. Conti , S.K. Bhogarajua, R. Signorini, D. Pedron, B. Wunderle, G. Elger, Journal of Raman Spectroscopy 2020;1–12, DOI: 10.1002/jrs.5947
Awards and memberships
- Member of International Microelectronics and Packaging Society (IMAPS)
Publications
2026
PANDEY, Amit, Zubair Akhtar MOHD, Nandana Kappuva VEETTIL, Bernhard WUNDERLE und Gordon ELGER, 2026. Quantitative Kernel estimation from traffic signs using slanted edge spatial frequency response as a sharpness metric. Scientific Reports, 16(1), 7387. ISSN 2045-2322. Available at: https://doi.org/10.1038/s41598-026-40556-w