Satryo Budi Utomo

Universitas Jember

Papers

2

Total Citations

9

H-Index

2

About

Satryo Budi Utomo is a researcher at the forefront of integrating artificial intelligence with biomedical engineering and electric motor design. His work primarily spans two innovative domains: brain-computer interfaces for assistive technology and the development of high-efficiency electric motors. In his most cited paper, Utomo tackles a critical challenge for individuals with hand amputations, employing deep learning on EEG signals to enable intuitive control of robotic prosthetic arms. This 2021 study, which has garnered 5 citations, demonstrates a practical application of AI and IoT in decoding brain signals for movement classification, offering a pathway to significantly improved quality of life for those with limited motor activity. Complementing this, his work on axial flux permanent magnet brushless DC motors—specifically a 6S8P design with a double-sided rotor—addresses the growing demand for efficient, compact electric motors in industry. With 4 citations, this contribution highlights his versatility in advancing sustainable technology. Utomo’s research, though early in its citation impact, showcases a promising blend of human-centered AI and electromechanical innovation, positioning him as a rising figure in both rehabilitation engineering and green energy systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Artificial Intelligence IoT based EEG Application using Deep Learning for Movement Classification
5 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Universitas Jember

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago