Philipp Lepold

Karlsruhe Institute of Technology (KIT)
Campus Süd
Institute of Telematics
Chair for Pervasive Computing Systems / TECO
Vincenz-Prießnitz-Straße 1
76131 Karlsruhe
Germany
Building 07.07, Room 210
email:lepold(at)teco.edu

GitHub: https://github.com/ilteen

Short CV

  • since 2024          PhD Candidate at TECO
  • 2021 – 2024       M.Sc. Computer Science at Karlsruhe Institute of Technology (KIT)
  • 2017 – 2021       B.Sc. Computer Science at Karlsruhe Institute of Technology (KIT)

Projects

  • since 2024           OpenEarable ExG
  • since 2024           Interaction in Healthcare

Research Interests

  • Earables
  • Human-Computer-Interaction
  • HealthTech

Bachelor- and Master’s Theses

Open Topics

  1. BA / MA: Development of an iPad App for Interactive Drawing-to-Plot Conversion

    The aim of this thesis is to design and implement an intuitive iPad application that enables users to draw data plots or shapes on the left side of the screen and instantly visualise corresponding Python-generated plots on the right side. The application will act as a bridge between creative, freehand visualisation and precise computational plotting.

    The proposed app should offer:

    1. Drawing Canvas: A user-friendly interface to draw basic plots, such as line graphs, scatter plots, bar charts, or shapes.

    2. Real-Time Plot Conversion: Seamless processing of user input into Python code using a backend (e.g., server-side processing or local interpretation) to generate accurate Matplotlib plots.

    3. Interactive Feedback: An environment where users can tweak their drawings (e.g., adjust axes, labels, or data points) and see updated plots dynamically.

    4. Export Features: The ability to export both the generated Python code and the Matplotlib plot for further use.

    Requirements:

    • Strong programming skills in Python, particularly with Matplotlib and related libraries.

    • Familiarity with iPad application development (e.g., Swift/SwiftUI) or cross-platform frameworks like Flutter.

    • Interest in user interface/experience design and computational graphics.

    • Basic understanding of handwriting/drawing recognition techniques is a plus.

  2. Any topic that falls within the following areas:
    • Biopotential sensing for health and HCI (EEG, EOG, EMG)
    • Embedded machine learning
    • Wearables

Current Theses

Finished Theses

 

Teaching

  • Praxis der Forschung

Publications

OpenEarable ExG: Open-Source Hardware for Ear-Based Biopotential Sensing Applications
Lepold, P.; Röddiger, T.; King, T.; Kunze, K.; Maurer, C.; Beigl, M.
2024. UbiComp ’24: Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, 916 – 920, Association for Computing Machinery (ACM). doi:10.1145/3675094.3678480