Through-wall imaging using metasurface antenna arrays
Hosted by and Enrolled in the Doctoral Program at the University of Huddersfield.
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Description of research
The research aims to revolutionize through-wall imaging with advanced metasurface antennas for efficient wave manipulation. Objectives include designing high-performance arrays, optimizing parameters, ensuring adaptability, real-time imaging, and ethical considerations. Documentation and dissemination will contribute to understanding through-wall imaging, impacting both science and applications.
Short bio of DC
Panithan La-aiddee is a doctoral candidate in the Marie Skłodowska-Curie Doctoral Network ISAC-NEWTON project at the University of Huddersfield, United Kingdom, where his research focuses on the development of metasurface antennas and machine-learning frameworks for adaptive and real-time through-wall imaging.
He received the BEng (Hons) degree in Electrical Engineering from King Mongkut’s University of Technology North Bangkok (KMUTNB), Thailand, in 2021, and the MEng degree in Electrical Engineering from Chulalongkorn University, Thailand, in 2024. He was an intern and research assistant with the Spectroscopic and Sensing Devices Research Group (SSDRG) at the National Electronics and Computer Technology Centre (NECTEC), NSTDA, Thailand, where he worked on research and development on metasurface design for 5G-and-beyond communications, localization, and sensing. His research interests include non-orthogonal multiple access, machine-learning algorithms, software-defined radio systems, reconfigurable intelligent surfaces, millimeter-wave communications, and digital twins.
Simplified Summary
This page is about PhD student Panithan La-aiddee. He studies at the University of Huddersfield.