Ibrahem Basem

Papers

Total Citations

H-Index

About

Ibrahem Basem is a researcher at the forefront of biomedical engineering and human-robot interaction (HRI), with a specialized focus on electromyography (EMG) signal processing. His most cited work, "Human-Robot Arm Interaction Based on Electromyography Signal" (2021, 12 citations), pioneers the use of EMG interfaces to create intuitive, dynamic control systems for robotic arms. By decoding muscle activity, Basem enables seamless collaboration between humans and machines, advancing applications in rehabilitation robotics and assistive technology. His contributions bridge the gap between biological signals and robotic actuation, offering a structured framework for real-world HRI in unstructured environments. This work has been recognized for its potential to transform prosthetic control and industrial automation, laying the groundwork for more adaptive, user-responsive robotic systems. Basem’s research underscores the power of integrating physiological sensing with robotics, making him a rising voice in the quest for more natural and effective human-machine partnerships.