Photo. Portrait of Anike Murrenhoff.
© Fraunhofer IML/Sebastian Beierle

Anike Murrenhoff

Scientific Coordinator Planning & Logistics

Anike Murrenhoff has been contributing to the advancement of AI in intralogistics design and operations at Fraunhofer IML since 2017. She began her journey with Fraunhofer IML as a Student Assistant in Intralogistics and IT Planning in 2015-2016. Anike holds a Master of Science in Industrial Engineering from the Georgia Institute of Technology (2014-2015) and a Master of Science in Logistics from TU Dortmund (2013-2016). Her academic foundation was laid with a Bachelor of Science in Logistics from TU Dortmund (2009-2013).

Current research topics:

  • Automated generation of diverse learning and test environments for autonomous systems in intralogistics
  • Simulation-based AI for autonomous intralogistics process design and control

Special interests:

  • The rapid advancements in generative AI and how foundation models can help enable autonomous processes in intralogistics