Tim Schneegans
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 206
email:schneegans(at)teco.edu
Open Thesis, Projects, Positions
Bachelor/Master-Thesis
HiWi
- Data Science HiWi (Machine Learning, Signal Processing)
- General research assistance (literature research, data collection, data analyis)
My goal is to use wearable technology for process audio and, specifically, speech data for data privacy preserving audio recording. In addition, I use audio and other sensor data to measure psychological variables and develop behavioral interventions in everyday life. If you can think across disciplines and want to apply computer science into practice, please reach out!
Short CV
- 2021 – today PhD candidate at TECO / Scholar at the KD²School for Design and Decisions at KIT
- 2018 – 2021 Psychology, M.Sc. at Freie Universität Berlin
- 2021 Internship at Simply Rational GmbH — The Decision Institute
- 2020 Visiting Student and Master Thesis at Duke University
- 2014 – 2018 Psychology B.Sc. at Technical University Braunschweig
- 2016 Visiting Studies at Yonsei University in Seoul, Republic Korea
Research Interests
- HCI
- Earables
- Transparent AI / Psychological AI
- Behavioral interventions
- Activity Recognition
- Affect Recognition
- Speaker, Speech, and Voice Activity Recognition
- Audio Data Processing / Processing
Publications
Schneegans, T., Bachman, M. D., Huettel, S. A., & Heekeren, H. (2021, October 4). Exploring the Potential of Online Webcam-based Eye Tracking in Decision-Making Research and Influence Factors on Data Quality. https://doi.org/10.31234/osf.io/zm3us
Beckmann L, Bergmann MC, Schneegans T, Baier D (2019). Importation and deprivation factors influencing teacher‐targeted aggression among secondary school students in Germany: A multilevel analysis. Aggressive Behavior. 2019;1–11. https://doi.org/10.1002/ab.21823
Schneegans, T.; Bachman, M. D.; Huettel, S. A.; Heekeren, H.
2021. doi:10.31234/osf.io/zm3us