Papers
11
Total Citations
86
H-Index
5
About
Reza Abiri is a pioneering researcher at the intersection of neural engineering, brain-computer interfaces (BCIs), and rehabilitation robotics. His work spans electrocorticography-based neuroprosthetics, neurofeedback systems, and intelligent human-robot interaction, with a unifying mission to restore and augment motor function in individuals with neurological conditions. Among his most influential contributions is his investigation of neural representational plasticity, demonstrating how imagined movements can be decoded across days to enable long-term neuroprosthetic control — work that has garnered 29 citations and fundamentally advances our understanding of how the brain balances stability and adaptability. His early research into real-time brainwave-based neurofeedback systems (13 citations) laid groundwork for practical BCI applications in stroke rehabilitation, while his robotic control studies — including social robot gesture control and sequence-based robotic arm manipulation — have brought BCIs closer to real-world deployment. More recently, Abiri has developed the STREAMS multimodal AI framework, addressing longstanding challenges in translating noisy biosignals into smooth robotic trajectories. His complementary expertise in shape memory alloy actuators and magnetic-based rehabilitation platforms further reflects his commitment to end-to-end assistive technology solutions, making him a notably versatile figure in modern neurotechnology research.
Research Focus
Key Achievements
Top Papers
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- 2A Real-Time Brainwave Based Neuro-Feedback System for Cognitive Enhancement13 citations · 2015
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- 4Real-Time Brain Machine Interaction via Social Robot Gesture Control9 citations · 2017
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