Nasir Ilyas

University of Electronic Science and Technology of China

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Total Citations

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About

Nasir Ilyas is a leading researcher in neuromorphic photonics and artificial visual systems, with a focus on developing bio-inspired electronic devices that mimic the human visual system. His major contributions include pioneering the design of color-recognizing silicon-based photonic synapses, which enable direct light signal processing for neuromorphic chips and artificial vision applications. His 2020 paper on this topic, with 45 citations, has been instrumental in advancing the field, addressing key challenges in creating efficient artificial visual systems. Ilyas also developed an oxide-based heterojunction optoelectronic synaptic device, published in 2022, which demonstrates wideband and rapid response performance, further pushing the boundaries of synaptic device technology. His work bridges materials science and neuromorphic engineering, offering scalable solutions for next-generation vision systems. With growing citation impact, Ilyas is recognized for integrating photonic and electronic functionalities, paving the way for smarter, energy-efficient artificial intelligence hardware.