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Latest News || 3 October 2026: Serving as a Student Ambassador at Queen's University Belfast, welcoming prospective students and visitors and supporting EEECS tours and event activities. || 9 September 2026: Published at AP-S/URSI 2026: “Near Field-Aware UE Localization in RIS-Aided Wireless Networks Through ML-Regressor.” || 25 August 2026: Poster presentation at UCMMT 2026 in Birmingham — “Experimental Validation of Localisation in RIS-Assisted mmWave Networks.” || 18 August 2026: Published at EuCAP 2026: “Impact of RIS Size on Machine Learning-Enabled Beam Sweeping for User Localization.” || 31 July 2026: Accepted at IEEE GLOBECOM 2026: “RIS-Aided Near-Field mmWave Localization Under Cross-Link Interference via Beam-Domain ML Fingerprinting.”
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Experimental RIS localization paper accepted at UCMMT 2026

The paper “Experimental Validation of Localisation in RIS-Assisted mmWave Networks” was accepted at UCMMT 2026. It evaluates learning-based localization with measurements from a physical 28 GHz RIS-assisted setup, focusing on how models transfer from simulation to real radio hardware.

UCMMT 2026 paper acceptance announcement

Paper results

  • Used a 20 × 20 RIS at 28 GHz with four angularly steered, 1-bit phase profiles.
  • KNN achieved 0.94° angle MAE and 5 cm range MAE on the simulation test set.
  • Experimental validation achieved 0.5° angle error and 5.3–8.3 cm range error without retraining.

Research experience

This work gave me practical experience in connecting simulation-based research with measured wireless data, organising an experimental localization pipeline, and assessing model behaviour under real propagation and hardware conditions.

Next work

The next phase will broaden the measurement campaign across additional positions and hardware configurations and investigate methods that reduce the remaining simulation-to-measurement gap.

Publication citation

M. T. Hassan, D. Zelenchuk, G. Travers, M. A. B. Abbasi, and G. G. Machado, “Experimental Validation of Localisation in RIS-Assisted mmWave Networks,” in Proc. 19th IEEE United Conference on Millimetre Waves and Terahertz Technologies (UCMMT), Birmingham, U.K., 2026.

View announcement on LinkedIn

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