Debashree Mandal
Papers
1
Total Citations
8
H-Index
1
About
Debashree Mandal’s research lies at the intersection of computer vision, human visual perception, and robotic intelligence. Her most-cited work, “Human visual system inspired object detection and recognition” (2012, 8 citations), introduces a novel framework that mimics the human visual system’s sensitivity to enhance object detection and recognition. By developing feature extraction methods grounded in biological vision, Mandal’s approach significantly improves the accuracy and efficiency of robotic vision systems. She also proposes a computationally effective technique that balances performance with real-time applicability, a critical advancement for autonomous robots operating in dynamic environments. Though her citation count is modest, the conceptual impact of her work is notable: it bridges cognitive science and machine vision, offering a biologically plausible path to more adaptive artificial perception. Mandal’s contributions are particularly valuable for researchers exploring neuromorphic computing and bio-inspired robotics, providing a foundation for future systems that see and interpret the world more like humans do. Her work exemplifies how interdisciplinary thinking can drive innovation in applied artificial intelligence.
Research Focus
Key Achievements
Top Papers
- 1Human visual system inspired object detection and recognition8 citations · 2012