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Persons

Prof. Dr. Simone Weikl

Artificial intelligence for infrastructure and urban development

Teaching

Research

  • Research interests:
    The Artificial Intelligence for Infrastructure and Urban Development research area investigates how Mathematical algorithms and machine learning methods can be used together with new data sources to optimise infrastructures in the areas of transport, future mobility and energy, as well as for sustainable urban development. Innovative methods are being developed to better understand, plan and manage infrastructures and cities. The focus here is on
    • Data analysis, fusion and extrapolation
    • Planning, expansion and optimisation
    • State prediction
    • Pattern, damage and deficit recognition
    • Dynamic control and proactive utilisation and usage management
  • Research centre: Regensburg Center for Artificial Intelligence (RCAI)

Career

  • Promotion:
    • 2015: Degree as Dr.-Ing., Department of Transport Engineering (Civil Engineering), University of the Federal Armed Forces Munich
  • Studium:
    • 2006 – 2011: Degree in Mathematics at the Technical University of Munich and Aarhus University (Denmark)
      Minor subjects: Computer Science, Economics
      Specialisations: Optimisation, Numerics
    • 2011: Degree in mathematics
  • Professional experience:
    • 2023 – today: Research Professor for AI for Infrastructure and Urban Development, OTH Regensburg
    • 2023 – 2024: Parental leave
    • 2021 – 2023: Postdoctoral researcher and research group leader in traffic engineering, TU Munich
    • 2015 – 2021: Technical project manager in the field of data analytics and software development for on-demand mobility services, BMW Group, Munich
    • 2012 – 2015: Research assistant / doctoral candidate in traffic engineering, University of the Federal Armed Forces Munich
  • External memberships:
    • Verein der Freunde der OTH Regensburg
    • Vereinigung der Straßenbau- und Verkehrsingenieure in Bayern e. V.

Publications/Lectures

Awards

  • 2024: D. Grant Mickle Award, “Outstanding paper Transportation Research Board 2023 in the field of Operation and Maintenance”
  • 2016: Research Prize of the University of the Federal Armed Forces Munich
  • 2013: Mobil.tum Best Paper Award