Zeesham Abbas
Papers
2
Total Citations
7
H-Index
2
About
Zeesham Abbas is at the forefront of neuromorphic computing and optoelectronics, pioneering brain-inspired devices that mimic biological vision. His research focuses on two-dimensional chalcogenide materials, particularly monochalcogenides and SnS₂, to create artificial synapses that respond to both optical and electrical stimuli. In his highly cited 2025 work, "Monochalcogenide-based retina-inspired photosynapses for energy-efficient neuromorphic computing," Abbas demonstrates how these materials can replicate retinal functions, enabling artificial visual systems that process information with remarkable energy efficiency—a critical step toward overcoming the von Neumann bottleneck. His companion study, "Chalcogenide‐Based Brain‐Inspired Photo‐Synapses for Neuromorphic Vision Sensor," provides both experimental validation and theoretical modeling of 2D van der Waals memristors, showing how their synaptic plasticity can be precisely modulated. Though early in his career, Abbas has already garnered significant attention, with his most recent papers accumulating citations that underscore their impact on the field. His work bridges materials science and neural engineering, offering a pathway to next-generation vision sensors that could revolutionize robotics, prosthetics, and AI hardware.
Research Focus
Key Achievements
Top Papers
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- 2