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Alyaa Al-Barrak

None · The University of Baghdad

https://researchid.co/dralyaa
@en.uobaghdad.edu.iq
12Scopus Publications
96Google Scholar Citations
4Google Scholar h-index
3Google Scholar i10-index

Research Interests

Channel coding (Information Theory)

Biography

Dr. Alyaa Al-Barrak is a lecturer in Computer Science at the University of Baghdad and Vice President of the Iraqi Society for Engineering Management (ISEM). She earned her PhD in Computing from the University of Northampton, UK, specializing in Wireless Communications, following her BSc and MSc in Computer Science from the University of Baghdad. With extensive teaching experience, she has delivered courses in programming, AI, wireless communications, and mobile computing. She currently supervises four MSc students and two diploma students. Her research focuses on cryptography, wireless networks, IoT, blockchain, and AI applications, with publications in leading journals and conferences, including IEEE. She has also received recognition for her research, including a Best Paper Award in 2016.

Education

I obtained my PhD from the University of Northampton, UK, at the Faculty of Art, Science, and Technology, Department of Computing. My research focused on Wireless Communications. I pursued this degree from February 1, 2014, to May 18, 2018, and was officially awarded the PhD on July 4, 2018. Prior to that, I completed my MSc at the University of Baghdad, Iraq, in the College of Science, Department of Computer. My specialization was in Computer Security. I pursued my MSc from October 1, 2001, to March 14, 2004, achieving an average score of 81.92% with a "Very Good" standard. I was awarded the...

Recent Scopus Publications

  1. Safety assessment model for DoS attacks detection in wireless communication and network OS environments
    Intelligent Decision Technologies, 2025
  2. Prediction of COVID-19 Disease and Infection Rate Based on Dense Net
    Iraqi Journal of Science, 2025
  3. Utilizing Palm Print to Identify People Based on the Resnet50 Approach
    Iraqi Journal of Science, 2025
  4. CT scan and deep learning for COVID-19 detection
    Aip Conference Proceedings, 2024
  5. Enabling Technologies for Ultra-Low Latency and High-Reliability Communication in 6G Networks
    Ingenierie Des Systemes D Information, 2024

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