Martin Hofstetter in

Martin Hofstetter

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Head of E-Mobility and Alternative Drivetrains Research Group at Technische Universität Graz
📍 Graz, Styria, Austria

Dr. Martin Hofstetter leads the E-Mobility and Alternative Drivetrains Research Group at Technische Universität Graz. With a PhD in Engineering Optimization, he spearheads the development of OPED, an AI-powered software that optimizes electric powertrain design, significantly accelerating development cycles for industry partners.

He is focused on applying technology to solve major societal challenges, particularly in sustainable transport. His work and public speaking engagements center on decarbonization and creating energy-efficient mobility solutions with broad economic and environmental benefits, reflecting his interest in European-level industrial and policy trends.

He led a decade-long research project that created a system capable of reducing electric powertrain design time from several months to a single day.

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Experience
19 Years
Current Role
Head of E-Mobility and Alternative Drivetrains Research Group
Job Level
Mid-senior
Location
Graz, Styria, Austria
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Priorities

Topics Martin cares about

AI in Engineering
Leads the development of OPED, an engineering software that uses AI-based evolutionary algorithms to optimize electric vehicle powertrains.
E-Drive Optimization
His core research and expertise involve the multi-objective design optimization of electric drives, balancing cost, efficiency, and performance.
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Career

Work history

2-2023
Head of E-Mobility and Alternative Drivetrains Research Group
Technische Universität Graz
12-2014 - 2-2023
Scientific Project Researcher
Technische Universität Graz
11-2009 - 10-2014
Software Developer
Re - Systems IT Systemhaus
9-2007 - 12-2012
Software Developer
Schlüssel und Schloss Montage- und Vertriebs Ges.m.b.H. & Co KG
7-2007 - 7-2007
Software Developer
Setup! EDV-Dienstleistungen
In the press

Media appearances

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Education
5-2015 - 2-2023
Doktor (Ph.D.)
Technische Universität Graz
3-2014 - 10-2014
Master Thesis
Technische Universität Graz
Social presence
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Behavioral profile

DISC profile (public)

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