Dmitry K. Polyushkin

Papers

Total Citations

1,105

H-Index

About

Dmitry K. Polyushkin is a leading researcher in the field of optoelectronics and two-dimensional (2D) materials, with a focus on developing next-generation image sensors and neuromorphic computing systems. His most impactful work, the 2020 paper "Ultrafast machine vision with 2D material neural network image sensors," has garnered over 1,100 citations, demonstrating its profound influence on the integration of artificial intelligence with photodetection. In this study, Polyushkin pioneered a novel approach by embedding neural network functionality directly into a 2D material-based sensor array, enabling ultrafast, energy-efficient image recognition without the need for separate processing units. This breakthrough addresses critical bottlenecks in conventional machine vision, such as latency and power consumption. Beyond this landmark achievement, his research spans the synthesis and characterization of transition metal dichalcogenides (TMDs), exploring their potential for flexible, high-speed photodetectors and memristive devices. Polyushkin’s work has been recognized for bridging fundamental materials science with practical device engineering, earning him a reputation as a key innovator in the race toward intelligent, bio-inspired sensing systems. His contributions continue to inspire new directions in edge computing and autonomous vision technologies.