Martin W. Hoffmann

According to our database, Martin W. Hoffmann authored at least 5 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Machine Learning with Physics Knowledge for Prediction: A Survey.

Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An Thai Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles D. Cranmer, Carlo D'Eramo, Fabian Bülow, Tanmay Goyal, Jan Peters, Martin W. Hoffmann

Trans. Mach. Learn. Res., 2025

2024

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, Thomas Leibfried, Dhruv Suresh Singhal, Moritz Bürger, Dennis Hunting, Alexander Rehmer, Aydin Boyaci

IEEE Access, 2024

2022

How to survive a PhD - using Design Thinking methods and the Business Model Canvas.

Martin W. Hoffmann, Rainer Drath

Proceedings of the IEEE Global Engineering Education Conference, 2022

2021

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

2020

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, Martin Bremer, Lars Kaminski, Daniel Beverungen, Philipp zur Heiden, Tanja Tornede

Sensors, 2020