Journal Paper 2025

AI-Driven Battery-Free Wireless Sensing of Hazardous Liquid Spills via a Frequency-Selective Surface in a Monostatic Antenna Configuration

IEEE Microwave and Wireless Technology Letters

Pau Casacuberta Fatemeh Niknahad Ali Maleki Gargari Ferran Martín Mohammad H. Zarifi
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Abstract

This paper presents an AI-driven battery-free wireless sensor system for detecting hazardous liquid spills using frequency-selective surfaces in a monostatic antenna configuration.

Keywords

AI-DrivenBattery-FreeHazardous LiquidsFrequency-Selective Surface

Key Findings

Technical Achievements

  • ▸ AI-driven processing
  • ▸ Battery-free operation
  • ▸ Frequency-selective surface
  • ▸ Monostatic configuration

Impact & Applications

  • ▸ Enhanced safety
  • ▸ Sustainable sensing
  • ▸ Real-time detection
  • ▸ Industrial applications

Methodology

AI Algorithm Development

Development of AI algorithms for liquid spill detection and classification.

FSS Design

Design and optimization of frequency-selective surfaces for sensing.

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