Bishwajeet Pandey

Gran Sasso Science Institute, Chitkara University

Papers

Total Citations

186

H-Index

About

Bishwajeet Pandey is a leading researcher at the intersection of deep learning, computer vision, and energy-efficient hardware design. His work primarily focuses on developing intelligent surveillance systems and optimizing FPGA-based implementations for real-time object tracking. Pandey’s most cited contribution, "Weapon Detection Using YOLO V3 for Smart Surveillance System" (2021, 145 citations), addresses the pressing issue of gun-related violence by creating an automated system that identifies handguns and rifles using deep learning and transfer learning techniques. This work has significant implications for public safety and smart city applications. Additionally, his research on "IoTs Enable Active Contour Modeling Based Energy Efficient and Thermal Aware Object Tracking on FPGA" (2015, 41 citations) demonstrates his expertise in balancing computational efficiency with thermal management in embedded systems. Pandey’s contributions are notable for bridging the gap between high-accuracy AI models and resource-constrained hardware, making his work highly relevant for both academic researchers and industry practitioners seeking to deploy intelligent systems in real-world environments.