Roy B. V. B. Simorangkir
Papers
2
Total Citations
27
H-Index
2
About
Dr. Roy B. V. B. Simorangkir is a leading researcher in the field of chipless radio-frequency identification (RFID) systems, with a particular focus on robust sensing and automated data acquisition. His work bridges the gap between hardware design and intelligent signal processing, making significant strides toward practical, real-world deployment of chipless RFID technology. Dr. Simorangkir’s major contributions include pioneering the application of deep learning and machine learning regression models for the robust reading of chipless RFID sensor tags, a breakthrough detailed in his most-cited 2023 paper (20 citations). This work demonstrates, for the first time, how AI can reliably extract identification and sensor data from complex radar cross-section measurements. Additionally, he developed a novel robot-based data acquisition methodology that leverages a Raspberry Pi and a universal arm robot to achieve a remarkable 98% improvement in data acquisition efficiency. His research is instrumental in overcoming key limitations of chipless RFID—such as reading reliability and measurement speed—paving the way for low-cost, scalable sensor networks in applications ranging from smart packaging to environmental monitoring.
Research Focus
Key Achievements
Top Papers
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