Atilla Kilicarslan
University of Houston, Interface (United States), Istanbul Technical University
Papers
10
Total Citations
419
H-Index
6
About
Atilla Kilicarslan is a pioneering researcher at the intersection of neuroscience and robotics, whose work is fundamentally reshaping how we think about restoring mobility to individuals with paralysis. His primary research areas span brain-machine interfaces (BMI), wearable neuroprosthetics, and lower-body exoskeletons. Kilicarslan’s most significant contribution is his groundbreaking demonstration that non-invasive scalp EEG can decode complex lower-limb movement intentions—such as sitting, standing, and walking—with high accuracy. His seminal 2013 paper, cited over 190 times, showed that users could control a lower-body exoskeleton simply by thinking, a feat previously thought possible only with invasive implants. This work, alongside his 2014 study on decoding sitting and standing intentions from pre-movement brain signals, has been foundational for the field, collectively amassing over 320 citations. He has also advanced the practical application of these systems through human-centered design principles and by developing methods to remove motion artifacts from EEG recordings, making real-world use more feasible. Through his leadership in neuro-robotics, Kilicarslan is actively building a future where thought-controlled exoskeletons can restore walking and independence to those with spinal cord injuries and other mobility impairments.
Research Focus
Key Achievements
Top Papers
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- 3Design and Control of Biologically Inspired Wheel-less Snake-like Robot39 citations · 2006
- 4Human‐Centered Design of Wearable Neuroprostheses and Exoskeletons28 citations · 2015
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- 9Development of a pediatric lower-extremity gait system2 citations · 2017
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