Bianca Ghinoiu

Papers

Total Citations

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About

Dr. Bianca Ghinoiu is a pioneering researcher at the intersection of brain-computer interfaces (BCIs) and autonomous robotics. Her work focuses on harnessing electroencephalography (EEG) signals through advanced deep learning architectures to enable intuitive, real-time control of mobile robots. Her most influential contribution, published in 2024, demonstrates how integrating models like ASTGCN and EEGNetv4 with the Robot Operating System (ROS) can decode neural commands with high accuracy, achieving 6 citations in a rapidly evolving field. This breakthrough not only advances human-robot interaction but also opens new pathways for assistive technologies, potentially restoring mobility for individuals with severe motor impairments. By combining deep learning, signal processing, and robotics, Ghinoiu is shaping the future of non-invasive neural control systems. Her work stands out for its practical integration of cutting-edge AI with real-world robotic platforms, making her a rising leader in the BCI community. For students and researchers, her research exemplifies how interdisciplinary approaches can transform abstract neural signals into tangible, life-changing applications.