Angeliki Bekyo

University of Minnesota, University of Minnesota System

Papers

Total Citations

479

H-Index

About

Angeliki Bekyo is a pioneering researcher in the field of brain-computer interfaces (BCIs), with a primary focus on noninvasive electroencephalogram (EEG) based control systems. Her most significant contribution is the development of a noninvasive BCI that enables real-world control of a robotic arm for reach and grasp tasks, a breakthrough that bridges the gap between neural signals and tangible, assistive technology. This landmark work, published in 2016, has garnered 475 citations, underscoring its profound impact on the BCI and neuroprosthetics communities. By demonstrating that users can manipulate a robotic arm to perform complex, goal-directed movements using only EEG signals—without the need for invasive implants—Bekyo has advanced the feasibility of practical, accessible assistive devices for individuals with motor impairments. Her research builds on prior BCI applications, such as controlling virtual cursors and wheelchairs, but extends these capabilities to dexterous manipulation, a critical step toward restoring independence for paralyzed patients. Bekyo’s work is a cornerstone in the pursuit of noninvasive neural control, inspiring further innovations in human-machine interaction and rehabilitation engineering.