Ph.D. candidate · University of Kansas

Masoud
Ghazikor.

Making wireless networks
more reliable and efficient.

I study wireless communications and distributed optimization, with a focus on UAV networks and connected intelligent systems.

Portrait of Masoud Ghazikor
Wireless Communication
& Networked Systems

Lawrence, Kansas, USA

At the intersection ofWireless communicationsDistributed optimizationMachine learning

01 / About

A little
background.

I’m a researcher working on the connections that keep people, devices, and aerial systems in sync.

I am a Ph.D. candidate in Electrical Engineering & Computer Science at the University of Kansas, where I joined the Wireless Communication and Networked Systems (WCNS) group in 2022. My work brings together wireless communications, distributed optimization, and control for UAV networks.

I earned my B.Sc. in Telecommunication Engineering, with a minor in Computer Engineering, from K. N. Toosi University of Technology in 2020. My undergraduate research explored restoration methods in optical fiber networks. During my Ph.D., I earned an M.Sc. with Honors in 2025, focusing on distributed optimization and control algorithms for UAV networks.

Beyond research

Volleyball, video games, and billiards at a professional level.

03 / Publications

Research in print.

View Google Scholar (opens in a new tab)

04 / Experience

Ideas into
practice.

Research, simulation,
and hands-on teaching.

University of Kansas2022 — Present

Graduate Research Assistant

Developing analytical models and optimization methods for wireless and networked systems.

Research contributions
  • UAV networks, with USRA. Developed a theoretical framework for throughput and PSNR in unlicensed spectrum, optimizing cross-layer parameters for UAV-to-ground and aerial links.
  • mmWave networks. Built a simulation framework for blockage scenarios, capturing blocker characteristics and transmitter–receiver geometry.
  • Satellite networks. Implemented single- and multi-beam communication models to analyze outage probability across GEO–LEO satellite and terrestrial links.
  • Personalized federated learning. Developed a channel-aware neighbor selection policy based on transmission error.
  • RIS-assisted NOMA. Analyzed BS-to-UAV communications to study the interplay between power allocation and reflecting elements.
University of Kansas2025

Graduate Teaching Assistant

Instructed 52 students in Circuits II Lab, connecting circuit theory with hands-on experiments.

Teaching topics

First- and second-order transients; AC steady state and power analysis; transformers; frequency response and Bode plots; filter design; and Sallen–Key active filters.

K. N. Toosi University of Technology2019 — 2020

Research Assistant

Implemented routing algorithms in OMNeT++ to evaluate alternative paths after optical fiber network failures, enabling immediate data recovery.

05 / Education

The foundation.

Doctor of Philosophy2022 — Present

Electrical Engineering

University of Kansas Lawrence, KS, USA

Master of Science With Honors2022 — 2025

Electrical Engineering

University of Kansas Lawrence, KS, USA

Bachelor of Science2016 — 2020

Electrical Engineering

Minor in Computer Engineering

K. N. Toosi University of Technology Tehran, Iran

Diploma2011 — 2015

Mathematics and Physics

Besharati Exemplary High School Bandar-e Gaz, Iran

06 / Skills

My toolkit.

Programming

Python · C/C++ · Java · MATLAB

Tools & simulation

ADS · CST · OMNeT++ · GNS3 · PSpice · Microsoft 365 · LaTeX

Languages

English · Persian · Turkmen · Turkish

07 / Contact

Let’s connect.

Have a research question or an idea for collaboration?
I’d be glad to hear from you.

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Cite this work

Citation details from this publication listing.