Person
M.Sc. Farnod Bahrololloomi
Vita
- since 2025: Ongoing PhD at the Doctoral Center Applied Informatics
- since 2023: RheinMain University of Applied Sciences – Research Associate
- 2020 – 2023: RheinMain University of Applied Sciences – M.Sc. Computer Science – Smart Systems for Man and Technology
- 2015 – 2020: RheinMain University of Applied Sciences – B.Sc. Applied Computer Science
Research and projects
- Human Activity Recognition
- Automatic Speech Recognition
- Wearable Computing
- Electronic Health Record
Publication
- 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
- 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