Prof. Dr.-Ing. Christian Endisch


Head of the Institute for Innovative Mobility (IIMo) Research Professorship E-Mobility and Learning Systems


Phone: +49 841 9348-5171
E-Mail:
Room: A116
Subject Area: Electric Mobility, Learning Systems

Research


Institute for Innovative Mobility (IIMo)

www.thi.de/iimo

Research group E-Mobility and Learning Systems (ELS)

www.thi.de/els

Research scope

  • Learning battery systems
  • Learning systems, artificial intelligence, system identification, estimation procedures
  • Innovative manufacturing and testing techniques with learning systems (Industry 4.0, digital product development process, automatized trajectory planning, flexible predictive machine scheduling)
  • Optimization strategy, networked mobility, predictive operating strategies

Vita


  • since 2016: Head of the institute IIMo at THI
  • since 2014: Research professorship „E-Mobility and Learning Systems“ at THI
  • 2013: Appointed to a W2 professor „electrical engineering and e-mobility“ at THI
  • since 2011: Research and teaching in the field of „artificial intelligence“ at the chair Institute for Electrical Drive Systems and Power Electronics (EAL) at Munich Technical University (TUM)
  • 2011-2013: Head of the group „electrification of technology planning“ and project manager at Audi
  • 2010-2011: Electrical engineer, electrification at Audi
  • 2009: Ph.D. in engineering (Dr.-Ing.) at Munich Technical University (TUM) with distinction
  • 2003-2009: Research assistant C1 for research and teaching, identification and simulation of mechatronic systems, artificial intelligence
  • 08/2003: Graduation Diplom-Ingenieur Munich Technical University (TUM) with rank 1
  • 1998-2003: Study of electrical engineering and information technologies at Munich Technical University (TUM)
  • 1994-1999: Industrial electrician at Audi Ingolstadt
  • 1990-1994: Electronics technician at airport Manching

Lectures

Technische Hochschule Ingolstadt (THI)

  • Electric- and hybrid vehicles
  • Modelling and simulation of dynamic systems
  • Artificial intelligence in the mechatronics
  • Fundamentals of the electrical engineering and e-mobility

Munich Technical University (TUM)

  • System identification in the mechatronics
  • Lab course system identification
  • Seminar Intelligent Procedures in the mechatronics

Additional activities

  • since 2017: Member of the examination board  doctorate in complementary studies
  • 2016 and 2017: Advisory body research professorship at THI
  • 2016-2019: Mentor and advisor THI talent program
  • since 2016: Member of the research council at THI

Memberships

  • IEEE Intelligent Transportation System Society
  • IEEE Intelligent Electronics Society
  • IEEE Computational Society