Masoud Ghazikor

KUmail: masoudghazikor@ku.edu
Gmail: masoudghazikor@gmail.com

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Welcome to my page!

I am a Ph.D. candidate in the Department of Electrical Engineering & Computer Science (EECS) at the University of Kansas (KU), Lawrence, KS, USA. In 2020, I earned my B.Sc. degree in Telecommunication Engineering with a minor in Computer Engineering from K. N. Toosi University of Technology (KNTU), Tehran, Iran. In my B.Sc. project, I focused on the restoration methods in optical fiber networks. After finishing my B.Sc., I started my Ph.D. studies at KU in 2022. I joined the Wireless Communication and Networked Systems (WCNS) group to pursue my research interests such as wireless communications and optimization methods. As an intermediate milestone during my Ph.D., I earned my M.Sc. degree with Honors in 2025, with a focus on distributed optimization and control algorithms for UAV networks. Besides research, I enjoy playing volleyball and video games, as well as billiards at a professional level!

Education

Experiences

Graduate Research Assistant - KU   2022 - Present

  • UAV Networks (with USRA): Developed a theoretical framework to analyze the throughput and PSNR between UAV and ground/aerial nodes in unlicensed spectrum bands and optimized the cross-layer parameters to maximize the average throughput and PSNR.
  • mmWave Networks: Developed a simulation framework that accurately models various blockage scenarios for mmWave systems by capturing all the characteristics of the blocker and the locations of the mmWave transmitter and receiver.
  • Satellite Networks: Implemented a satellite communication model to analyze the outage probability between the GEO-LEO satellites and terrestrial nodes using multiple or single beams.
  • PFL Networks: Implemented a channel-aware neighbor selection policy for personalized federated learning (PFL) networks to choose the desired neighbors based on transmission error.
  • NOMA Networks: Developed a theoretical framework to analyze the RIS-assisted BS-UAV communication in NOMA systems to investigate the interplay of power factor and number of reflecting elements.

Graduate Teaching Assistant - KU   2025

  • Circuits II Lab: Instructed 52 students, guiding hands-on experiments and reinforcing theoretical concepts such as 1st & 2nd-order transients, AC steady state, steady state power analysis, transformers, frequency response & Bode plots, filter design, and Sallen-Key active filters.

Research Assistant - KNTU   2019 - 2020

  • Optical Fiber Networks: Implemented routing algorithms in OMNeT++ to analyze their efficiency for finding alternative paths in case of network failures, enabling immediate data recovery.

Publications

Skills