Papers
3
Total Citations
49
H-Index
3
About
Khaled Nasr is a researcher whose work bridges the frontiers of analytical chemistry and neuroprosthetics. His early career focused on high-throughput surface chemistry and mass spectrometry, where he developed a novel nanolayered substrate for MALDI-TOF that enables encoderless identification of small molecules in combinatorial chemistry (25 citations). He also pioneered a microwave-assisted method for functionalizing microarray slides, achieving surface modification 42 times faster than conventional techniques (18 citations). More recently, Nasr has advanced into sensory neuroprosthetics, proposing the use of deep learning models of the brain’s visual system to derive optic nerve stimulation patterns for restoring vision (6 citations). This work represents a significant conceptual leap, applying artificial neural networks to decode and replicate complex sensory perception. Nasr’s trajectory from high-throughput chemical analysis to computational neuroscience demonstrates a rare versatility, and his contributions to both fields highlight a commitment to solving fundamental challenges in molecular identification and neural restoration.
Research Focus
Key Achievements
Top Papers
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- 3Advancing sensory neuroprosthetics using artificial brain networks6 citations · 2021