Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions. - Martin W. Hoffmann; Stephan Wildermuth; Ralf Gitzel; Aydin Boyaci; Jörg Gebhardt; Holger Kaul; Ido Amihai; Bodo Forg; Michael Suriyah; Thomas Leibfried; Volker Stich; Jan Hicking; et al. (Sensors, 2020)

Developing Industrial CPS: A Multi-Disciplinary Challenge. - Martin W. Hoffmann; Somayeh Malakuti; Sten Grüner; Sören Finster; Jörg Gebhardt; Ruomu Tan; Thorsten Schindler; Thomas Gamer (Sensors, 2021)

How to survive a PhD - using Design Thinking methods and the Business Model Canvas. - Martin W. Hoffmann; Rainer Drath (EDUCON, 2022)

Toward Cognitive Assistance and Prognosis Systems in Power Distribution Grids - Open Issues, Suitable Technologies, and Implementation Concepts. - Ralf Gitzel; Martin W. Hoffmann; Philipp zur Heiden; Alexander Skolik; Sascha Kaltenpoth; Oliver Müller; Cansu Kanak; Kajan Kandiah; Max-Ferdinand Stroh; Wolfgang Boos; Maurizio Zajadatz; Michael Suriyah; et al. (IEEE Access, 2024)

Machine Learning with Physics Knowledge for Prediction: A Survey. - Joe Watson; Chen Song; Oliver Weeger; Theo Gruner; An Thai Le 001; Kay Hansel; Ahmed Hendawy; Oleg Arenz; Will Trojak; Miles D. Cranmer; Carlo D'Eramo; Fabian Bülow; et al. (Trans. Mach. Learn. Res., 2025)