Nihad Brahimi

Papers

Total Citations

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About

Dr. Nihad Brahimi is a leading researcher at the intersection of brain-computer interfaces (BCI), intelligent control systems, and assistive robotics. Her most cited work, "Intelligent Control System for Brain-Controlled Mobile Robot Using Self-Learning Neuro-Fuzzy Approach" (2024, 12 citations), introduces a novel framework that translates electroencephalography (EEG) signals into precise control commands for mobile robots. By integrating self-learning neuro-fuzzy algorithms, Brahimi’s system enables adaptive, real-time interaction between human neural activity and robotic actuators—a breakthrough for individuals with severe neurological disorders. This work directly addresses the challenge of creating intuitive, non-invasive control pathways for disabled users, significantly enhancing their autonomy and quality of life. Brahimi’s contributions lie in fusing adaptive machine learning with BCI technology, pushing the boundaries of how neural signals can be harnessed for practical, real-world mobility aids. Her research not only advances the field of intelligent control but also holds profound implications for rehabilitation engineering and human-robot collaboration. With a growing citation impact, Brahimi is establishing herself as a key innovator in neuro-adaptive systems, bridging the gap between cognitive intent and physical action.