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Technical University of Munich

Maryam Bajool, M.Sc.

Scientific assistant 

Technical University of Munich
Professorship of Audio Information Processing
Arcisstr. 21
80333 München

Phone: +49 (0)89 289 28564
Fax: +49 (0)89 289 28211
Building: N5
Room: N6503
Office hours: by arrangement
Email: maryam.bajool@tum.de

Education

since 2023Scientific Assistant at the Professorship of Audio Information Processing, Technical University of Munich
2021 - 2023Master's degree in Information and Communication Technology at the Technical University of Darmstadt
2015 - 2020Bachelor studies in electrical engineering at the Isfahan University of Technology (IUT), Iran

Research Areas

Auditory attention decoding

Publications

  • 3Bajool, M.; Seeber, B.U.: Decoding Auditory Attention from Brain Activity in a Two-Speaker Environment. Munich Brain Day 2025, 2025, 44 more…
  • 2Bajool, M.; Seeber, B.U.: Classifying the Direction of Auditory Attention from EEG Signals Using Deep Learning with a Short Decision Window. Fortschritte der Akustik -- DAGA '25, Deutsche Gesellschaft für Akustik e.V. (DEGA), 2025, 1049-1052 more… Full text ( DOI ) Full text (mediaTUM)
  • 1Bajool, M.; Galeano Otavaro, J.D.; Seeber, B.U.: The Interplay of Attention and Gaze Direction in EEG and Audio Envelope Analysis. Fortschritte der Akustik -- DAGA '24, Deutsche Gesellschaft für Akustik e.V. (DEGA), 2024, 1148-1151 more… Full text (mediaTUM)
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