Md Rahatul Islam Udoy

University of Tennessee at Knoxville

Papers

1

Total Citations

2

H-Index

1

About

Md Rahatul Islam Udoy is a rising researcher at the forefront of neuromorphic imaging and low-power sensor design. His primary focus lies in developing event-driven vision systems that mimic biological retinas, enabling ultra-fast, energy-efficient detection of scene changes rather than capturing full-frame images. Udoy’s most cited work introduces an Event Detection Pixel Sensor (EDPS) circuit that leverages phase transition materials to achieve high-speed, low-latency, and low-power imaging—a breakthrough critical for real-time applications in robotics, autonomous vehicles, and surveillance. This 2025 paper has already garnered 2 citations, signaling early impact in a rapidly evolving field. By tackling the fundamental challenge of dynamic visual data processing, Udoy’s contributions promise to reduce power consumption in edge devices while enhancing response times. His innovative integration of phase transition materials into pixel-level circuits marks a notable achievement, positioning him as a promising voice in next-generation sensor technology. As autonomous systems demand ever-faster environmental perception, Udoy’s work offers a compelling path toward more efficient, biologically inspired vision.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Event Detection Pixel Sensor (EDPS) Circuit Using Phase Transition Material
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Tennessee at Knoxville

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago