Fast 3D Ray Tracing for Indoor Coverage Solutions. - Ahmed Abdelgawwad; Mohamed Ashour; Tallal Elshabrawy; Hany F. Hammad (VTC Fall, 2016)

On the influence of walking people on the Doppler spectral characteristics of indoor channels. - Ahmed Abdelgawwad; Matthias Pätzold 001 (PIMRC, 2017)

A Framework for Activity Monitoring and Fall Detection Based on the Characteristics of Indoor Channels. - Ahmed Abdelgawwad; Matthias Pätzold 001 (VTC Spring, 2018)

The Influence of Human Walking Activities on the Doppler Characteristics of Non-stationary Indoor Channel Models. - Muhammad Muaaz; Ahmed Abdelgawwad; Matthias Pätzold 001 (IWANN (1), 2019)

A 3D Non-Stationary Cluster Channel Model for Human Activity Recognition. - Ahmed Abdelgawwad; Matthias Pätzold 001 (VTC Spring, 2019)

Doppler Power Characteristics Obtained from Calibrated Channel State Information for Human Activity Recognition. - Ahmed Abdelgawwad; Andreu Català; Matthias Pätzold 001 (VTC Spring, 2020)

WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities. - Muhammad Muaaz; Ali Chelli; Ahmed Abdelgawwad; Andreu Català Mallofré; Matthias Pätzold 001 (IEEE Access, 2020)

Modelling, Analysis, and Simulation of the Micro-Doppler Effect in Wideband Indoor Channels with Confirmation Through Pendulum Experiments. - Ahmed Abdelgawwad; Alireza Borhani; Matthias Pätzold 001 (Sensors, 2020)

A Trajectory-Driven 3D Channel Model for Human Activity Recognition. - Ahmed Abdelgawwad; Andreu Català Mallofré; Matthias Pätzold 001 (IEEE Access, 2021)

A non-stationary relay-based 3D MIMO channel model with time-variant path gains for human activity recognition in indoor environments. - Rym Hicheri; Ahmed Abdelgawwad; Matthias Pätzold 001 (Ann. des Télécommunications, 2021)

Synthetic Micro-Doppler Signatures of Non-Stationary Channels for the Design of Human Activity Recognition Systems. - Ahmed Abdelgawwad (2021)