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M.Sc. Farnod Bahrololloomi

M.Sc. Farnod Bahrololloomi

Allgemein:

Raumnummer: 233, Haus E
E-Mail: Farnod.Bahrololloomi(at)remove-this.hs-rm.de
Mobil: +4961194952420

Postanschrift:

Postfach 3251
65022 Wiesbaden

Besuchsadresse:

Unter den Eichen 5
65195 Wiesbaden

Sprechzeiten:

nach Vereinbarung

Forschungsschwerpunkte

  • Human Activity Recognition
  • Automatic Speech Recognition
  • Wearable Computing
  • Electronic Health Record

Publikationen

  • Farnod Bahrololloomi, Fabio Klonowski, Sebastian Sauer, Robin Horst, and Ralf Dörner. 2023. E-Sports Player Performance Metrics for Predicting the Outcome of League of Legends Matches Considering Player Roles. SN Comput. Sci. 4, 3 (Mar 2023). https://doi.org/10.1007/s42979-022-01660-6
  • Farnod Bahrololloomi, Sebastian Sauer, Fabio Klonowski, Robin Horst, and Ralf Dörner. 2022. A Machine Learning based Analysis of e-Sports Player Performances in League of Legends for Winning Prediction based on Player Roles and Performances. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 2: HUCAPP, SciTePress, 68–76. https://doi.org/10.5220/0010895900003124
  • Farnod Bahrololloomi, Johannes Luderschmidt and Sergio Staab. 2024. Addressing Privacy in Passive Data Collection for Nursing Documentation. In Proceedings of the 8th International Workshop on Annotation of useR Data for UbiquitOUs Systems, INFORMATIK 2024, Gesellschaft für Informatik e.V., 443-454. https://doi.org/10.18420/inf2024_32

Akademischer Werdegang

  • seit 2023: Hochschule RheinMain - Wissenschaftlicher Mitarbeiter
  • 2020 – 2023: Hochschule RheinMain - M.Sc. Informatik – Smarte Systeme für Mensch und Technik
  • 2015 – 2020: Hochschule RheinMain - B.Sc. Angewandte Informatik