Max Robotics — Global Service Robot Directory + US Certification

About

Madiha Tariq is a biomedical and neural engineering researcher whose work centers on brain-computer interfaces (BCIs), electroencephalography (EEG) signal processing, and lower-limb assistive robotics. Her most influential contribution, "EEG-Based BCI Control Schemes for Lower-Limb Assistive-Robots" (2018), has amassed an impressive 237 citations, establishing her as a recognized voice in the BCI community and underscoring the field's growing interest in non-invasive neural control systems. Tariq's research is particularly distinguished by its focus on lower-limb motor imagery — an area historically underexplored compared to upper-limb paradigms. Her investigations into classifying left and right foot kinaesthetic motor imagery and knee extension motor imagery using Common Spatial Pattern (CSP) techniques have helped bridge a critical gap, demonstrating that EEG-based systems can reliably decode lower-extremity movement intentions. This work holds significant promise for rehabilitation technologies and mobility aids for individuals with motor impairments. Through her visualization studies of motor imagery EEG features, Tariq has also contributed to making BCI systems more interpretable and clinically applicable, offering valuable tools for both researchers and practitioners advancing assistive neurotechnology.