Papers
32
Total Citations
710
H-Index
13
About
Maryam Alimardani is a pioneering researcher at the intersection of brain-computer interfaces (BCIs), human-robot interaction, and neuroscience, whose work has fundamentally advanced our understanding of how the human brain relates to robotic systems. Her most celebrated contribution — a 2013 study with 93 citations — demonstrated that operators controlling humanlike robotic hands through neural signals can experience a genuine illusion of body ownership over those hands, a landmark finding that bridges neuroscience and robotics. Building on this, Alimardani has made substantial contributions to BCI training methodology, showing how visual feedback design and embodiment cues critically shape motor imagery learning and user performance. Her research on passive BCIs, cited 86 times, has helped redefine these interfaces beyond simple control tools into systems capable of continuously monitoring cognitive and emotional states. More recently, she has expanded her focus to socially meaningful applications, exploring robot-assisted mindfulness training, child-robot educational interaction, and engagement differences between elderly and young adults. With a body of work exceeding 500 cumulative citations, Alimardani's research consistently blurs the boundary between human cognition and machine intelligence, offering profound implications for rehabilitation, education, and human augmentation technologies.
Research Focus
Key Achievements
Top Papers
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- 2Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction86 citations · 2020
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