Master’s Thesis Defense at the University of Ninevah on Wireless Sensing Techniques Based on Channel State Information (CSI)

The College of Electronics Engineering at University of Ninevah witnessed, on Wednesday, May 20, 2026, the defense of the master’s thesis submitted by the student Omar Shehab Ahmed from the Department of Computer and Informatics Engineering, entitled:

“Investigation of Channel State Information for Wireless Sensing and Monitoring”

Part of the discussion session was attended by the Assistant President of the University of Ninevah for Scientific Affairs, Jaafar Ramadan Mohammed, affirming the university presidency’s support for scientific research and postgraduate studies.

The thesis addressed wireless sensing techniques based on Channel State Information (CSI), which are considered among the modern trends in Internet of Things (IoT) and smart home applications. The study focused on exploiting the physical characteristics of Wi-Fi signals to detect and track human activities without the need for wearable devices or surveillance cameras.

The research also investigated advanced signal-processing techniques, including the Discrete Wavelet Transform (DWT), Fast Fourier Transform (FFT), and Variational Mode Decomposition (VMD), in addition to designing hybrid deep-learning models aimed at improving the efficiency of identity, location, and activity recognition in multi-user environments.

The study results demonstrated the possibility of achieving an accuracy of up to 99% when using advanced processing techniques with lightweight architectures, making this approach suitable for edge-IoT applications in healthcare, security, and smart homes.

The examination committee consisted of:

  1. Assist. Prof. Dr. Mohammed Abdul Muttalib Mohammed — Chairperson
  2. Assist. Prof. Dr. Bilal Alaa Al-Din Jabr — Member
  3. Lect. Dr. Noor Raad Saadallah — Member
  4. Assist. Prof. Dr. Sidqi Bakr Thunoon — Member and Supervisor

Congratulations to the student, his supervisor, and the esteemed examination committee.