Pooja Goswami
Papers
1
Total Citations
2
H-Index
1
About
Dr. Pooja Goswami is a leading researcher in the field of edge computing and computer vision, with a specialized focus on optimizing artificial intelligence for resource-constrained hardware. Her most significant contribution is a comprehensive comparative analysis of person detection algorithms designed specifically for single-board computers (SBCs), a critical area for advancing real-time, on-device intelligence in applications like surveillance, robotics, and smart environments. This work, published in 2024, systematically evaluates the trade-offs between accuracy, speed, and computational efficiency, providing a vital roadmap for deploying AI at the edge. While her research is still gaining momentum, with her seminal paper already accumulating 2 citations, its practical relevance is driving interest from both academic and industrial sectors. Dr. Goswami’s work is notable for bridging the gap between high-performance algorithms and the severe limitations of SBCs, directly addressing the growing demand for efficient, decentralized AI solutions. Her research is poised to become a foundational reference for engineers and scientists developing next-generation embedded systems.
Research Focus
Key Achievements
Top Papers
- 1