Isha Gupta
Papers
1
Total Citations
7
H-Index
1
About
Dr. Isha Gupta is a leading researcher at the intersection of real-time computer vision and reconfigurable hardware, with a primary focus on FPGA-based architectures for embedded vision systems. Her most cited work, the comprehensive 2022 survey "FPGA based Feature Extraction in Real time Computer Vision," has garnered 7 citations and stands as a definitive resource for engineers and academics seeking to accelerate vision pipelines on programmable logic. Dr. Gupta’s major contributions lie in systematically mapping the landscape of feature extraction algorithms—from edge detection to scale-invariant transforms—onto FPGA platforms, demonstrating how hardware parallelism can overcome the latency and power constraints of traditional CPU/GPU implementations. Her research directly addresses critical challenges in defense, security, surveillance, and robotics, where real-time decision-making is paramount. By bridging the gap between algorithmic complexity and hardware efficiency, Dr. Gupta has provided a foundational framework that enables faster, more reliable computer vision systems for autonomous navigation and threat detection. Her work continues to influence the next generation of embedded vision designers, offering both a taxonomy of existing solutions and a roadmap for future innovations in reconfigurable computing for real-time visual intelligence.
Research Focus
Key Achievements
Top Papers
- 1