Machine Learning Optimized UHF-RFID Tag Antenna Design for Wristband Applications
Wireless, Antenna & Microwave Symposium (WAMS 2026) / June 10-13, 2026
Designed and simulated an AI-optimized UHF-RFID tag antenna for wearable health monitoring. Employed a Deep Neural Network (DNN) to automate impedance matching for the Alien Higgs-4 IC, achieving a high gain of 3.585 dB, 73.4% efficiency, and a read range of 22cm. Accepted for oral presentation at WAMS 2026, Hyderabad.



