John L. Buckley
Papers
3
Total Citations
31
H-Index
3
About
John L. Buckley is a leading researcher in the field of chipless Radio Frequency Identification (RFID) systems and wireless sensor networks. His work focuses on overcoming critical challenges in RFID sensor tag detection and data acquisition. In his most cited work (2023, 20 citations), Buckley pioneered the application of Machine Learning and Deep Learning regression models to robustly read identification and sensor data from chipless RFID tags, addressing a key limitation in the technology by improving detection reliability from measured Radar Cross Section data. He further advanced the field with a novel automated data acquisition methodology (2023, 7 citations), integrating a Raspberry Pi with a vector network analyzer and robotic arm to achieve a 98% improvement in data collection efficiency. Earlier in his career, Buckley contributed to antenna design for wireless sensor networks (2007, 4 citations), including specialized underwater and open-air deployments. His innovative combination of machine learning with hardware automation positions him at the forefront of next-generation, low-cost RFID sensing solutions, with direct applications in smart sensing and the Internet of Things.
Research Focus
Key Achievements
Top Papers
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