Shah Muhammad Imtiyaj Uddin
Papers
1
Total Citations
6
H-Index
1
About
Shah Muhammad Imtiyaj Uddin is a pioneering researcher at the intersection of neuromorphic engineering, very-large-scale integration (VLSI) design, and biomedical image analysis. His most notable contribution is the development of a spike-timing-dependent plasticity (STDP) driven automated retinal circuit, implemented using cutting-edge 7-nm FinFET technology. This hybrid model, published in 2025 and garnering 6 citations, mimics the biological visual system to perform real-time motion and looming detection—a critical capability for autonomous systems and robotic vision. Uddin’s work uniquely integrates neuromorphic spiking circuits with advanced image analysis, offering a low-power, hardware-efficient solution for edge computing applications. His research demonstrates how nanoscale semiconductor devices can replicate neural plasticity, bridging the gap between biological inspiration and practical hardware. By pushing the boundaries of bio-inspired computing, Uddin is shaping the future of intelligent sensors and adaptive visual processing systems, making his contributions highly relevant for students and researchers exploring neuromorphic architectures, FinFET-based design, and next-generation computer vision.
Research Focus
Key Achievements
Top Papers
- 1