Md. Turiqul Islam
Papers
1
Total Citations
6
H-Index
1
About
Md. Turiqul Islam is a rising researcher at the forefront of neuromorphic engineering and bio-inspired vision systems. His work centers on developing hardware-accelerated neural circuits that mimic biological visual processing, with a particular focus on motion detection and looming threat recognition. In his most-cited paper, "STDP-Driven Automated Retinal Circuit With 7-nm FinFET for Motion and Looming Detection: A Hybrid Model With Image Analysis" (2025, 6 citations), Islam introduces a groundbreaking silicon retina that leverages spike-timing-dependent plasticity (STDP) and advanced 7nm FinFET technology. This hybrid model integrates an automated motion spiking circuit with image analysis, enabling efficient, real-time detection of moving objects and approaching threats—a critical capability for autonomous systems and robotics. By bridging neuroscience and nanoscale semiconductor design, Islam's work demonstrates how biological principles can drive ultra-low-power, high-performance artificial vision. Though early in his career, his contributions signal a promising trajectory in neuromorphic computing, with potential applications spanning autonomous vehicles, surveillance, and prosthetic vision. His research exemplifies the next wave of intelligent, energy-efficient hardware that learns and adapts like the brain.
Research Focus
Key Achievements
Top Papers
- 1