Hovagim Bakardjian

RIKEN Center for Brain Science, Tokyo University of Agriculture and Technology

Papers

Total Citations

189

H-Index

About

Hovagim Bakardjian is a pioneering researcher in the field of non-invasive brain-computer interfaces (BCIs), with a focus on advancing both the neuroscience of human cognition and practical bioengineering applications. His key research areas include multiway signal-processing array decompositions for BCIs, affective steady-state visual evoked potentials (SSVEPs), and the integration of emotional stimuli to enhance BCI performance. Bakardjian’s major contributions include developing novel paradigms that use flickering video clips of emotional human faces to boost SSVEP responses, thereby increasing information transfer rates and command multiplicity in BCIs. His work on brain control of robotic arms using affective SSVEPs demonstrates a direct path from neural signals to machine control, offering transformative potential for rehabilitation and assistive technologies for disabled and elderly populations. With his most cited paper, "Noninvasive BCIs: Multiway Signal-Processing Array Decompositions" (2008), garnering 136 citations, Bakardjian’s research has significantly impacted the BCI community, bridging fundamental neuroscience with real-world applications. His notable achievements include pioneering affective BCI paradigms that leverage emotional processing to improve system robustness and user engagement, marking a creative step forward in human-machine interaction.