Cries Avian

Universitas Jember, National Taiwan University of Science and Technology

Papers

Total Citations

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About

Cries Avian is a researcher advancing the frontiers of IoT and biomedical engineering, with a focus on practical, real-world applications. Their key research areas include the Internet of Things (IoT) for rural connectivity and electromyography (EMG)-based human-machine interfaces. Avian’s most-cited work, "Design and Implementation of LoRa Based IoT Scheme for Indonesian Rural Area" (2021, 41 citations), tackles the critical challenge of digitizing remote regions by developing a low-power, long-range IoT system for real-time monitoring—a significant contribution to bridging the digital divide. In a more recent study (2023, 4 citations), Avian explored feature extraction methods for classifying finger movements using a double Myo armband, demonstrating how machine learning can decode EMG signals for applications in prosthetics, exoskeletons, and powered wheelchairs. This work highlights their commitment to improving assistive technologies. Though early in their career, Avian’s research already shows notable impact, blending hardware design with algorithmic innovation to solve pressing societal problems. Their contributions are particularly valuable for students and researchers interested in IoT deployment in underserved areas and the practical implementation of EMG-based control systems.