Mahmood Amiri
Papers
10
Total Citations
207
H-Index
7
About
Mahmood Amiri is a distinguished researcher whose work sits at the intersection of neuromorphic engineering, tactile sensing, and biologically inspired computing. His research focuses on modeling the human tactile perception system in hardware and software, with particular emphasis on replicating the behavior of cutaneous mechanoreceptors, nociceptors, and neural pathways involved in touch processing. Amiri's foundational contributions include the digital hardware realization of spiking mechanoreceptor models — capturing the dynamics of SA-I and FA-I afferents — and the development of neuromorphic circuits that mimic biological neural encoding, including astrocytic calcium oscillation models. His work on functional spiking neuronal networks has shed light on how tactile information, such as edge orientation and sharpness, is processed from the skin's periphery to the cortex. A recurring theme across his research is the application of these biomimetic systems to prosthetic limbs, aiming to restore meaningful sensory feedback to amputees. His 2022 paper fusing tactile and visual information in deep learning models has garnered 61 citations, reflecting strong interdisciplinary impact. With a cumulative citation count exceeding 200, Amiri's research is shaping the future of intelligent prosthetics and neuromorphic sensory systems.
Research Focus
Key Achievements
Top Papers
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- 6A Biomimetic Circuit for Electronic Skin With Application in Hand Prosthesis17 citations · 2021
- 7A Digital Hardware System for Spiking Network of Tactile Afferents13 citations · 2020
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- 9A Novel Nociceptor Functional Circuit for Tactile Applications4 citations · 2022
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