Informatik und Informationstechnik Sophie Böttcher, B.Sc.

• Artificial Intelligence
• Machine Learning Methods
• Statistics

Field of research

• Image classification and segmentation
• Efficient neural networks for anomaly detection
• Semi- and unsupervised learning methods

Monday 9:30 am - 11 am or by appointment in F01.408 or Webex

• Since 2022: Teaching and research in the field of statistics and artificial intelligence in the FH-Personal project (Esslingen University of Applied Sciences, Esslingen)
• 2021 - 2022: Project coordination Girls' Digital Camps + Marketing Faculty of Computer Science and Information Technology (Esslingen University of Applied Sciences, Esslingen)
• 2020: Front video in Driver Assistance: sensor data fusion for speed validation (Robert Bosch GmbH, Leonberg)
• 2017 - 2019: Front video in Driver Assistance: optical flow (Robert Bosch GmbH, Leonberg)
• 2017: Front video in Driver Assistance: vision restriction classification with CNNs (Robert Bosch GmbH, Leonberg).
• 2015: Autonomous robots: edge detection with CNNs (Vienna University of Technology, Vienna).

Study

• Since 2022: PhD in the field of AI and neural networks (University of Tübingen, Tübingen).
• 2018 - 2021 : Applied Computer Science, M.Sc. (Esslingen University of Applied Sciences, Esslingen)
• 2012 - 2017 : Biomimetics, B.Sc. (Westfälische Hochschule, Bocholt)

LinkedIn: https://www.linkedin.com/in/sophie-b%C3%B6ttcher-750a10201/