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Siming Bayer, M. Sc.

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room: Room 09.158
Martensstr. 3
91058 Erlangen

  • Since 11/2019:
    Researcher at Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University, Innovation Manager at Diehl Metering GmbH
  • 01/2015 to 10/2019:
    Researcher at Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University in collaboration with Siemens Healthineers AG
  • 09/2016 to 10/2019:
    Researcher at Molecular Imaging Lab, Department of Biomedical Engineering, Peking University
  • 10/2009 t0 09/2015:
    Student at Friedrich-Alexander University (B.Sc and M.Sc Biomedical Engineering)

2021

  • UtilityTwin


    (Third Party Funds Group – Overall project)
    Term: September 1, 2021 - August 31, 2024
    Funding source: Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie (StMWi) (seit 2018)

    In the UtilityTwin research project, an intelligent digital twin for any energy or water supply network is to be researched and developed on the basis of adaptive high-resolution sensor data (down to the sub-second range) and machine learning techniques. Overall, the technology concepts BigData and AI are to be combined in an innovative way in this research project in order to make positive contributions to the implementation of the energy transition and to counteract climate change.

2016

  • Intraoperative brain shift compensation and point-based vascular registration


    (Non-FAU Project)
    Term: May 1, 2016 - October 31, 2019

2021

Journal Articles

2020

Conference Contributions

2019

Journal Articles

Conference Contributions

2018

Conference Contributions

2017

Journal Articles

Conference Contributions

Übung (UE)

  • Pattern Recognition Exercises

    Information regarding the online teaching will be provided in the studon course.

    • Fri 12:15-13:45, Room 02.133-113
    • Wed 16:15-17:45, Room 02.151-113 a CIP
    • Wed 16:15-17:45, Room 02.151-113 b CIP
  • Pattern Recognition Exercises

    Information regarding the online teaching will be provided in the studon course.

    • Wed 16:15-17:45, Room 02.151-113 a CIP
    • Wed 16:15-17:45, Room 02.151-113 b CIP
    • Fri 12:15-13:45, Room 02.133-113
  • Pattern Recognition Exercises

    Information regarding the online teaching will be provided in the studon course.

    • Fri 12:15-13:45, Room 02.133-113
    • Wed 16:15-17:45, Room 02.151-113 a CIP
    • Wed 16:15-17:45, Room 02.151-113 b CIP

Vorlesung (VORL)

  • Pattern Recognition

    This class will be given purely on fau.tv. Short videos will be posted on a regular schedule (not necessary the in-person time mentioned here at UnivIs)

    • Mon 14:15-15:45, Room H4
    • Thu 10:15-11:45, Room H4
  • Pattern Recognition

    This class will be given purely on fau.tv. Short videos will be posted on a regular schedule (not necessary the in-person time mentioned here at UnivIs)

    • Mon 14:15-15:45, Room H4
    • Thu 10:15-11:45, Room H4