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Fakultät für Elektrotechnik und Informationstechnik
Scientific Assistant

Dr.-Ing. Parmida Geranmayeh

  • Machine Learning for Wireless Communication Systems
  • Beamforming and Antenna Optimization
  • 5G/6G Mobile Networks and mmWave Communication
  • Optimization Methods and Game Theory
  • Signal Processing and MIMO Systems
  • P. Geranmayeh, E. Grass,
    “Machine Learning Based Beam Selection for Maximizing Wireless Network Capacity,” IEEE Access, 2024
  • P. Geranmayeh, E. Grass,
    “Optimization of Beamforming and Transmit Power using DQN and Comparison with Traditional Techniques,” IEEE Access, 2025
  • P. Geranmayeh, E. Grass,
    “Reinforcement Learning Based Antenna Beam Selection for Wireless Communications in Urban Environments,” Wireless Personal Communications, Springer, 2025
  • Z. Rashidi, V. Hakami, P. Geranmayeh, S. Rajaee,
    “Distributed content placement in cache-enabled small cell networks with incomplete information,” Neural Computing and Applications, 2022
  • P. Geranmayeh, E. Grass,
    “Efficient Beam Selection for Increased Overall Wireless Network Capacity,” ICCNT 2024
  • P. Geranmayeh, E. Grass,
    “Impact of Patch Array Antenna Size and Beampattern on Wireless Network Capacity,” ASIANComNet 2024
  • P. Geranmayeh, E. Grass,
    “Comparison of Optimization Techniques and Machine Learning Methods for Optimized Beamforming in Wireless Networks,” APWC 2024
  • P. Geranmayeh, E. Grass,
    “Neural Networks for Predicting the Optimal Beamforming Angles,” ICAIIC 2024
  • P. Geranmayeh, E. Grass,
    “Enhancing mmWave Wireless Network Capacity through Machine Learning,” IEEE Future Networks World Forum, 2024
  • P. Geranmayeh, E. Grass,
    “Comparative Analysis of Optimization and Machine Learning Methods,” VDE ITG Fachtagung Mobilkommunikation, 2025
  • P. Geranmayeh, E. Grass,
    “Optimizing Beamforming and Transmission Power for Improving mmWave Wireless Network Performance,” AI-SI 2025
  • P. Geranmayeh, E. Grass,
    “Optimization of Wireless Network Capacity Using Detailed Room Model,” submitted, 2025
  • “Investigation of Optimization Techniques for Resource Allocation in Wireless Networks,” Ph.D. thesis, 2025, Berlin
  • “Optimizing Beamforming and Transmission Power for Improving mmWave Wireless Network Performance,” AI-SI 2025, Kuala Lumpur
  • Presentation at the “Computer Science GONG SHOW” as part of Computer Science Day 2024 at Humboldt University of Berlin, 2024, Berlin


    Additional presentations at international IEEE conferences (2023–2025), including:
       • ICCNT 2024, Madrid
       • ASIANComNet 2024, Bangkok
       • APWC 2024, Lisbon
       • ICAIIC 2024, Osaka
       • IEEE Future Networks World Forum 2024, Dubai
       • VDE ITG Mobile Communications 2025, Osnabrück

 

   • Best Presenter Award, IEEE International Conference on Artificial Intelligence for Sustainable              Innovation (AI-SI 2025), Kuala Lumpur, Malaysia
   • Reviewer for the journal *Physical Communication* (Elsevier), 2025
   • Session Chair, IEEE-APS Topical Conference on Antennas and Propagation in Wireless  Communications (APWC), 2024
   • Doctoral Fellowship from the German Research Foundation (DFG)
   • Government Scholarship (B.Sc. and M.Sc.)
   • First place in the M.Sc. program
   • Award at the 19th High School Physics Competition (1st prize)

• Teaching Assistant in the field of programming
• Assisting with courses in basic and advanced programming

  • Since February 2026
    Research Assistant at the Faculty of Electrical Engineering and Information Technology, Dortmund Technical University
   • July 2022 – October 2025
      Research Assistant at the Institute of Computer Science, Humboldt University of Berlin (Ph.D. candidate)
   • Oct 2018 – Sep 2020
      Master’s degree in Information Technology Engineering (M.Sc.), Iran University of Science and Technology
   • Sep 2014 – Sep 2018
     Bachelor’s degree in Computer Engineering (B.Sc.), Iran University of Science and Technology