Taeho Kang


  • Physiologische datenbasierte Untersuchung multimodaler Mensch-Technik-Interaktionen
  • Mensch-Computer-Maschine-Schnittstellen
  • Gehirn-Computer-Schnittstellen
  • Menschliches Lernen und Kognition


  • Kang, T., Chen, Y., Fazli, S. and Wallraven, C., 2020. EEG-Based prediction of successful memory formation during vocabulary learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(11), pp.2377-2389.
  • Kang, H., Kang, T. and Wallraven, C., 2022. Putting vision and touch into conflict: results from a multimodal mixed reality setup. IEEE Transactions on Visualization and Computer Graphics.
  • Kang, T. and Wallraven, C., 2023. Gotta Go Fast: Measuring Input/Output Latencies of Virtual Reality 3D Engines for Cognitive Experiments. arXiv preprint arXiv:2306.02637.
  • Kang, T. and Wallraven, C., 2023. I See Artifacts: ICA-based EEG Artifact Removal Does Not Improve Deep Network Decoding Across Three BCI Tasks. In Review (IEEE Transactions on Neural Networks and Learning Systems).
  • Mametkulov, M., Artykbayev, A., Koishigarina, D., Kenessova, A., Razikhova, K., Kang, T., Wallraven, C. and Fazli, S., 2022, February. Explainable machine learning for memory-related decoding via TabNet and non-linear features. In 2022 10th International Winter Conference on Brain-Computer Interface (BCI) (pp. 1-7). IEEE
  • Kang, T., Chen, Y., Fazli, S. and Wallraven, C., 2018, January. Decoding of human memory formation with EEG signals using convolutional networks. In 2018 6th International Conference on Brain-Computer Interface (BCI) (pp. 1-5). IEEE.


  • Post Doc, Universität Korea (03.2023 - 11.2023)
  • PhD-Kandidat, Universität Korea (09.2015 - 02.2023)
  • Selbstständiger Software-Unternehmer (05.2018 - 08.2018)
  • Full Stack Engineer, Contents Insight (08.2014 - 05.2015)