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Ahmed Abdelmonem Abdelgawwad
PhD Research Fellow
- Office:
- C5138 ( Jon Lilletuns vei 9, Grimstad )
My research interests and background include network modeling and simulation, channel modeling for fall detection systems, non-stationary channel models, and time-frequency analysis for non-stationary channel models
Academic interests
- Probability Theory and Stochastic Processes
Projects
- WiCare (A Wireless In-Home Healthcare Monitoring System for Supporting Independent Living or Elderlies)
Scientific publications
- Abdelgawwad, Ahmed Pätzold, Matthias Uwe (2018). A Framework for Activity Monitoring and Fall Detection Based on the Characteristics of Indoor Channels. 2018 IEEE 87th Vehicular Technology Conference (VTC Spring). ISBN: 978-1-5386-6355-4. IEEE conference proceedings. chapter.
- Abdelgawwad, Ahmed Pätzold, Matthias Uwe (2017). On the influence of walking people on the Doppler spectral characteristics of indoor channels. IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops. ISSN: 2166-9570.
- Muaaz, Muhammad Abdelgawwad, Ahmed Pätzold, Matthias Uwe (2019). The Influence of Human Walking Activities on the Doppler Characteristics of Non-Stationary Indoor Channel Models.
- Abdelgawwad, Ahmed Pätzold, Matthias Uwe (2019). A 3D Non-Stationary Cluster Channel Model for Human Activity Recognition.
- Abdelgawwad, Ahmed (2018). Modelling the Impact of a Moving Person on the Power Spectrum Characteristics of Indoor Channels.
- Abdelgawwad, Ahmed Pätzold, Matthias Uwe (2018). A Framework for Activity Monitoring and Fall Detection Based on the Characteristics of Indoor Channels.
- Abdelgawwad, Ahmed Pätzold, Matthias Uwe (2017). On the influence of walking people on the Doppler spectral characteristics of indoor channels.
Last changed: 21.06.2018 14:06