Muhammad Khoirul Hasin
Papers
1
Total Citations
2
H-Index
1
About
Dr. Muhammad Khoirul Hasin is a researcher specializing in human-robot interaction, assistive technology, and machine learning applications for rehabilitation engineering. His most cited work, "Comparison of extreme learning machine and neural network method on hand typist robot for quadriplegic person" (2017), addresses a critical challenge in assistive robotics: optimizing predictive algorithms for individuals with severe motor impairments. By systematically comparing Extreme Learning Machine (ELM) and Backpropagation Neural Network (BPNN) methods, Hasin demonstrated that algorithm selection significantly impacts prediction accuracy—a finding essential for developing reliable, responsive robotic systems for quadriplegic users. His research bridges computational efficiency and real-world usability, showing that ELM can outperform traditional neural networks in speed and accuracy for this application. With 2 citations, this work has influenced subsequent studies in adaptive assistive robotics and algorithm optimization. Hasin’s contributions lie at the intersection of machine learning, biomedical engineering, and human-centered design, offering practical pathways for creating more intuitive, responsive assistive devices. His work underscores the importance of rigorous method comparison in developing technologies that restore independence and quality of life for individuals with disabilities.
Research Focus
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Top Papers
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