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About

Murat Kaya is a prominent researcher specializing in electroencephalography (EEG)-based brain-computer interfaces (BCI) and their applications in robotics and human-machine interaction. His work sits at the intersection of neural signal processing, cognitive monitoring, and assistive technology, with a particular focus on making BCI systems practical, non-invasive, and accessible. Kaya's most influential contribution is the publication of a large EEG motor imagery dataset (2018), which has garnered 174 citations and become a key resource for the BCI research community, enabling reproducible science and benchmarking across the field. Complementing this, his development of a three- to six-state EEG-based BCI system for controlling virtual and physical robotic manipulators — achieving high performance with only 15 minutes of training time — represents a significant step toward real-world clinical and prosthetic applications, earning 39 citations. Beyond motor control, Kaya has explored operator attention monitoring in industrial settings using EEG, addressing critical safety concerns in automated environments. Collectively, his body of work reflects a commitment to bridging neuroscience and engineering, advancing non-invasive BCI technology that could meaningfully improve the lives of individuals with motor disabilities and enhance human-machine safety systems.