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
Probability Theory and Stochastic Processes
WiCare (A Wireless In-Home Healthcare Monitoring System for Supporting Independent Living or Elderlies)
Muaaz, Muhammad; Abdelgawwad, Ahmed; Pätzold, Matthias Uwe (2019). The Influence of Human Walking Activities on the Doppler Characteristics of Non-stationary Indoor Channel Models. Advances in Computational Intelligence, 15th Int. Work-Conference on Artificial Neural Networks, IWANN 2019, Part I. ISBN: 978-3-030-20520-1. Springer. chapter. s 297 - 309.
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.