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Muhammad Muaaz

Postdoctoral Research Fellow

 
Office:
A2097 ( Jon Lilletuns vei 9, Grimstad )

Scientific publications

  • Chelli, Ali; Muaaz, Muhammad; Pätzold, Matthias Uwe (2020). ActRec: A Wi-Fi-based human activity recognition system. 2020 IEEE International Conference on Communications Workshops (ICC Workshops). ISBN: 978-1-7281-7440-2. IEEE. chapter.
  • Muaaz, Muhammad; Chelli, Ali; Pätzold, Matthias Uwe (2020). WiHAR: From Wi-Fi Channel State Information to Unobtrusive Human Activity Recognition. IEEE Vehicular Technology Conference (VTC). ISSN: 1090-3038. doi:10.1109/VTC2020-Spring48590.2020.9128418.
  • Muaaz, Muhammad; Chelli, Ali; Abdelgawwad, Ahmed; Catala, Andreu; Pätzold, Matthias Uwe (2020). WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities. IEEE Access. ISSN: 2169-3536. doi:10.1109/ACCESS.2020.3022287.
  • Hintze, Daniel; Füller, Matthias; Scholz, Sebastian; Findling, Rainhard D.; Muaaz, Muhammad; Kapfer, Philipp; Koch, Eckhard; Mayrhofer, René (2019). CORMORANT: Ubiquitous Risk-Aware Multi-Modal Biometric Authentication across Mobile Devices. PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. ISSN: 2474-9567. doi:10.1145/3351243.
  • 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.
  • Muaaz, Muhammad; Pätzold, Matthias Uwe (2019). The influence of human walking activities¨on the Doppler characteristics of non-stationary indoor channel models.

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