Sandy Akbar Dewangga

Sepuluh Nopember Institute of Technology

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About

Sandy Akbar Dewangga is a researcher at the forefront of brain-computer interface (BCI) technology, with a primary focus on translating neural signals into practical robotic control. His most-cited work, "Robot Motion Control Using the Emotiv EPOC EEG System" (2018, 7 citations), demonstrates a pioneering approach to capturing electroencephalogram (EEG) signals and converting human thought patterns into direct motion commands for robotic systems. This research bridges the gap between cognitive neuroscience and robotics, offering a non-invasive method for individuals to control mechanical devices through thought alone. Dewangga’s contributions are particularly significant in the context of assistive technology, where his work holds potential for restoring mobility to paralyzed patients or enabling hands-free operation in hazardous environments. By leveraging the Emotiv EPOC system, he has helped validate the feasibility of low-cost, accessible BCI platforms for real-world applications. His research not only advances human-robot interaction but also lays groundwork for future innovations in neuroprosthetics and intelligent automation. With a growing citation footprint, Dewangga continues to inspire students and researchers exploring the intersection of neural engineering and robotics.