I am Mohammadreza Rohaninezhad researcher in metamaterials, transparent antennas, and THz absorbers, inventor of the world's first liquid-dielectric mutual-coupling reduction method, and Core Network engineer at NAK. From RIS and 6G to full-duplex MIMO, my work lives where electromagnetics meets what comes next.
Design and analysis of metamaterial absorbers for terahertz applications — the subject of my PhD thesis and ongoing lab work.
Optically transparent antennas on solar-cell substrates, electromagnetic band gap structures, and frequency selective surfaces.
Multiphysics simulation of wave scattering in complex media, RCS and RCS reduction, and metasurface-based propagation control.
Reconfigurable intelligent surfaces and metasurface-assisted links as building blocks of sixth-generation networks.
Array antenna design, mutual-coupling suppression, and full-duplex relay architectures for high-capacity wireless systems.
Author of an IntechOpen book on Free Space Optics technologies in the B5G and 6G era — advances, perspectives, applications.
CS Core planning and optimization across live operator environments — Nokia DX200/IPA2800 circuit-switched core.
Chief Research Consultant & Supervising Advisor in antenna and metasurface studies, providing senior‑level scientific guidance, academic supervision, and research consultation. Experienced in mentoring authors, supporting technical papers, and offering high‑level insights for advanced electromagnetic research projects.
Future technologies: 6G roadmapping, reconfigurable intelligent surfaces, metasurface and antenna design.
Specialized in interference mitigation and radio network monitoring.
Electromagnetic wave scattering in complex media, metasurface applications, FSS, RCS reduction, EBG, THz metamaterial absorbers, and array antennas — simulated in CST, MATLAB, and COMSOL.
Thesis: “Design and Analysis of Metamaterial Absorbers for Terahertz Applications.”
Thesis: “Reducing Mutual Coupling in Array Antennas with Liquid Dielectric.”
arXiv:2609.35848v1 Announce Type: cross Abstract: On-board compression of synthetic aperture radar (SAR) phase history is bandwidth-critical, and block-adaptive quantization (BAQ) remains the operational standard. We test whether a small convolutional autoencoder, with…
rss.arxiv.org EXPORT.ARXIVarXiv:2609.37622v1 Announce Type: new Abstract: We address joint continuous localization and data detection in ambient backscatter communication, where weak observations can leave competing geometry hypotheses plausible and a staged point-estimate interface can…
rss.arxiv.org EXPORT.ARXIVarXiv:2609.36310v1 Announce Type: cross Abstract: Everywhere learning provides a principled framework for training AI models under constraints that must hold throughout the data distribution. In the dual domain, these pointwise constraints give…
rss.arxiv.org90 total citations across these papers · Google Scholar →
A new class of decoupling for antenna arrays, using a liquid dielectric medium to suppress mutual coupling between elements.
★ WORLD-FIRST METHODA liquid-dielectric radiator architecture enabling beam steering through physical beam rotation in the array.
Ranked in the top 15% of Institute of Physics reviewers (2025), Peer Review Excellence training graduate, and recipient of the IOP Outstanding Reviewer Award.
Recognising researchers who have delivered exceptional peer review reports over in 2025. The awards highlight the essential contribution reviewers make in upholding the quality, integrity and rigour of published research.
In sum – what to know $30B opportunity – PhotonLink could add $30 billion to Coherent’s addressable market by 2030, on top…
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AT&T has signed a $3 billion-plus fiber supply deal with Corning, adding to a string of major commitments as AI data-center construction…
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The 5G correction is over, but growth is confined to AI RAN In sum – what we know: The radio access network…
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