Rubina Akter Rabeya
Papers
1
Total Citations
6
H-Index
1
About
Rubina Akter Rabeya is a rising researcher at the forefront of neuromorphic engineering and advanced semiconductor design. Her work centers on developing bio-inspired vision systems that mimic the mammalian retina, with a particular focus on motion detection and looming threat recognition. In her most cited work, "STDP-Driven Automated Retinal Circuit With 7-nm FinFET for Motion and Looming Detection," she introduces a hybrid model that integrates spike-timing-dependent plasticity (STDP) with cutting-edge 7nm FinFET technology. This silicon retina architecture not only replicates biological visual processing but also demonstrates how nanoscale transistors can enable energy-efficient, real-time object tracking. Although her career is still early, her paper has already garnered 6 citations, signaling growing interest in her approach to merging neuroscience with VLSI design. Rabeya’s contributions are particularly notable for bridging the gap between theoretical neural computation and practical hardware implementation, offering a path toward compact, low-power vision chips for autonomous systems and robotics. Her work represents a compelling step forward in neuromorphic computing, promising smarter, faster, and more efficient artificial visual systems.
Research Focus
Key Achievements
Top Papers
- 1