Papers
11
Total Citations
268
H-Index
8
About
Hasan Ayaz is a pioneering researcher in neuroergonomics and brain-computer interfaces (BCIs), with a focus on functional near-infrared spectroscopy (fNIRS) for real-world applications. His landmark work, "The Age of Neuroergonomics" (92 citations), advocates for ubiquitous brain monitoring in natural environments, while his development of a four-class motor-imagery BCI for humanoid robot control (43 citations) demonstrates practical BCI integration. Ayaz has significantly advanced mental workload assessment, using convolutional neural networks for fNIRS classification (32 citations) and multimodal monitoring of brain, heart, and eye signals (31 citations) to enhance safety in high-precision systems like aerospace and robotic surgery. Beyond cognitive assessment, he explores human-robot interaction, investigating anthropomorphism, dog-like framing, and social bonding between humans and robots. His work on social bonding (8 citations) reveals that dogs outperform robotic replicas like AIBO as companions, informing ethorobotics. With over 250 citations across his top papers, Ayaz bridges neuroscience, engineering, and robotics, making impactful contributions to adaptive human-machine systems and the future of neuroadaptive technology.
Research Focus
Key Achievements
Top Papers
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- 6Developing an Optical Brain-Computer Interface for Humanoid Robot Control12 citations · 2016
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