Ilham Ari Elbaith Zaeni
Southern Taiwan University of Science and Technology, State University of Malang
Papers
8
Total Citations
102
H-Index
6
About
Ilham Ari Elbaith Zaeni is a researcher at the forefront of brain-computer interfaces (BCIs) and intelligent robotics, with a focus on enhancing human-machine interaction and assistive technology. His most cited work centers on single-channel SSVEP-based BCIs, where he developed a fuzzy feature threshold algorithm to control a maze game (39 citations) and an automatic feeding robot (18 citations), demonstrating practical applications for individuals with motor neuron disease. Zaeni’s contributions extend to autonomous robotics, including a meal assistance robot controlled via BCI and a trash-picking robot using omnidirectional cameras for multi-object tracking. His research also explores genetic network programming with two-stage reinforcement learning for mobile robot navigation and PID-controlled stabilization for search-and-rescue robots. With over 100 total citations, Zaeni’s work bridges the gap between neural signal processing and real-world robotic systems, offering innovative solutions for rehabilitation, automation, and environmental management. His achievements highlight a commitment to improving quality of life through accessible, intelligent technology.
Research Focus
Key Achievements
Top Papers
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- 3A new SSVEP based BCI application on the mobile robot in a maze game15 citations · 2016
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