Researcher from LASP and INCT Signals defends doctoral thesis on tensor-based methods for wireless communications assisted by reconfigurable metasurfaces.

The Applied Signal Processing Laboratory (LASP) and the INCT Signals project celebrate the doctoral thesis defense of researcher Amarilton Lopes Magalhães, conducted within the Graduate Program in Teleinformatics Engineering (PPGETI) at the Federal University of Ceará (UFC).

Titled "Tensor Methods for Channel Estimation in Wireless Communication Systems Aided by Reconfigurable Metasurfaces," the thesis addresses one of the most promising and challenging topics in future wireless communication networks, investigating the use of advanced tensor methods for channel estimation in systems assisted by Reconfigurable Intelligent Metasurfaces (RIS). This topic holds significant scientific and technological relevance, as programmable metasurfaces are considered enabling technologies for 6G networks, allowing for the intelligent control of electromagnetic propagation and opening new possibilities for more efficient, reliable, and sustainable communications.

Throughout the work, new approaches based on tensor modeling and multilinear decompositions were developed, contributing to the advancement of the state of the art in signal processing for emerging communication systems.

The research reinforces the tradition of LASP and INCT Signals in developing innovative solutions in signal processing, wireless communications, and applied computational intelligence.

LASP and INCT Signals congratulate Dr. Amarilton Lopes Magalhães on this important academic achievement, the result of years of dedication, scientific excellence, and commitment to research.