Marcos Rodriguez Pino

Full Profesor

University of Oviedo

Spain

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About

Marcos Rodriguez Pino is a Full Professor at Universidad de Oviedo, Spain. His research areas encompass advanced antenna design and application, particularly in mmWave technologies, reflectarray antennas, and their implementations in satellite and 5G communications. Recent contributions include innovations in beam-scanning antennas and adaptive field-to-mask procedures, showcasing a commitment to enhancing communication technology performance.

Articles (10)

Year:

2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2023

Year:

2023

Collaborators (6)

Ronan Sauleau

Université de Rennes 1

FRANCE

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Sergio Matos

Assistant Professor

ISCTE-Instituto Universitário de Lisboa

PORTUGAL

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Carlos Fernandes

Full Professor

Universidade de Lisboa Instituto Superior Técnico

PORTUGAL

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Maurizio Bozzi

Professor

University of Pavia

ITALY

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Paolo Nepa

University of Pisa

ITALY

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Manuel Arrebola

Associate Professor

University of Oviedo

SPAIN

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Marcos Rodriguez Pino

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Compact Cassegrain Antenna based-on a Low-Profile Multi-faceted Reflectarray

Compact Beam-Scanning Reflectarray Antenna with SLL Reduction Using In-Plane Panel Translations

A Practical Implementation of mmWave NOMA with IRS-aided Indoor Coverage Extension

Broadband Polarizer Reflectarray Antenna in Dual-Circular Polarization for Satellite Applications in Ka-band

Reflectarray Antenna Using Novel SIW-Based Cavity Resonators with a Broadband Performance

Fully Metallic Additively Manufactured Monopulse Horn Array Antenna in Ka-Band

Multibeam Compact Reflectarray Antenna With Low Scan Loss and Wide-Angle Performance Using a Multi-Feed Configuration

Reflectarray Antenna for Simultaneous Near-Field Fronthaul and Far-Field Backhaul Links in Next 5G FR2 Femtocells

Adaptive Field-to-Mask Procedure for the Synthesis of Metalens Antennas With Complex Near-Field Coverage Patterns in 5G Scenarios

A Near-Field Focused Array Antenna Empowered by Deep Learning for UHF-RFID Smart Gates

Collaborators (6)

Ronan Sauleau

Sergio Matos

Carlos Fernandes

Maurizio Bozzi

Paolo Nepa

Manuel Arrebola

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