Mejdani, Desar
Desar Mejdani, M. Sc.
Education:
- B.Sc. in Electrical and Computer Engineering from 09/2017 to 06/2020
- M.Sc. in Advanced Signal Processing and Communications Engineering from 10/2021 to 07/2024
- Doctoral Candidate at LHFT since 07/2024
Research Areas:
- Signal processing of bistatic radars
- Machine learning applications on radar signals
Thesis:
- Feel free to contact me if you are interested in any of the topics mentioned above.
Publications
- A. Fröhlich, D. Mejdani, L. Engel, J. Bräunig, C. Kammel, M. Vossiek and I. Ullmann, "A Millimeter-Wave MIMO Radar Network for Human Activity Recognition and Fall Detection", in Proceedings of the 2024 IEEE Radar Conference (RadarConf24), Denver, CO, Mai, 2024.
DOI: 10.1109/RadarConf2458775.2024.10548702 - J. Bräunig, D. Mejdani, D. Krauß, S. Grießhammer, R. Richer, C. Schüßler, J. Yip, T. Steigleder, C. Ostgathe, B. Eskofier and M. Vossiek, "Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning", in Proceedings of the 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Pittsburgh, November, 2023.
DOI: 10.1109/BHI58575.2023.10313506 - J. Bräunig, D. Mejdani, D. Krauß, S. Grießhammer, R. Richer, C. Schüßler, J. Yip, T. Steigleder, C. Ostgathe, B. Eskofier and M. Vossiek, "Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning", in Proceedings of the 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Pittsburgh, November, 2023.
DOI: 10.1109/BHI58575.2023.10313506