Prof. Dr. Martina Hofmann

Room

G2 2.25

Telephone

Email Address

Martina.Hofmann[at]hs-aalen.de

resumé
Publications

1992 - today Training and continuing education

University of Frankfurt

State of Hesse

Technical University of Darmstadt, topic of doctorate: "Design of a linear induction machine for railway systems using Finite Element Calculation" with Prof. Dr.-Ing. Andreas Binder and Prof. Dr.-Ing. Dave Rodger (University of Bath, UK) Degree of Dr.-Ing. electrical engineering

National Microelectronics Research Centre in Cork, Ireland, with Prof. Dr.-Ing. Peter Mutschler

With Prof. Dr.-Ing. Thomas Hartkopf

Darmstadt University of Technology

2002 - 2012 Professional experience

Simone Häußler, Martina Hofmann, Martin Müller ISSN: 0174-3635,

Further information

Martin Hein, Verena Täumer, Martina Hofmann, Frank Ulmer

Moritz Benninger, Martina Hofmann, Marcus Liebschner ISSN: 1877-0509,

Further information

Martin Hein, Martina Benninger, Martina Hofmann ISBN: 978-3-8007-5152-5,

Moritz Benninger, Martina Hofmann, Markus Liebschner ISSN: 2510-6902, ISBN: 978-3-8007-5152-5,

Fabian Zippel, Martina Hofmann, Manuel Baumann, Marcel Weil ISBN: 978-3-8007-5152-5,

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Prof. Dr. Martina Hofmann

resumé

Mentor in the "Mentor Network for Women in Natural Sciences and Technical Subjects at Hessian Universities and Universities of Applied Sciences"

Scholarship holder of the doctoral promotion project "Women in Engineering"

Doctorate at the Department, Institute for Electrical Energy Conversion

External Diplom thesis with the topic "Investigation to improve the reliability of module integrated photovoltaic inverters"

(study) assignment; term paper; student research project; seminar paper on the topic "Structural calculations of the inactive part of large diameter generators"

Course of studies of electrical engineering, advanced course / specialty electrical engineering

Publications

Regionale Anpassung an den Klimawandel – Ein Überblick mit Empfehlungen für Kommunen in Baden-Württemberg

Speichereinsatz versus Netzausbau - Methoden der Bürgerkommunikation am Beispiel des Projekts NEOS

Transferable and self-learning Online Monitoring System for electrical household appliances

Industrial Big Data from Energy Measuring

Online Monitoring System for Photovoltaic Systems Using Anomaly Detection with Machine Learning

Use Cases of Battery Storage for Peak Shaving in different industries