Aida Khorshidtalab

International Islamic University, Islamabad, International Islamic University Malaysia

Papers

Total Citations

H-Index

About

Aida Khorshidtalab is a researcher whose work sits at the compelling intersection of neural engineering, signal processing, and human-computer interaction. She is best known for her contributions to **brain-computer interface (BCI)** technology, particularly in the area of EEG signal classification for real-time applications. Her widely referenced 2011 review paper on EEG signal classification — accumulating over 50 citations across indexed versions — provided a foundational overview of how brain wave data can be processed and interpreted to enable direct, muscle-independent control of external devices such as robots and assistive technologies. This work has become a valuable resource for researchers and students entering the BCI field. Beyond neural signals, Khorshidtalab has extended her research into **human motion modeling**, as demonstrated by her 2013 study on modeling daily human arm movements. With applications spanning rehabilitation engineering, biomechanics, and human-robot cooperation, this work reflects her broader interest in bridging biological systems with intelligent machines. Together, her research contributions paint the picture of a scientist committed to advancing assistive and rehabilitative technologies — work that holds meaningful promise for improving quality of life for individuals with motor disabilities.