Om Jee Pandey

SRM University, Andhra Pradesh, Indian Institute of Technology BHU

Papers

Total Citations

H-Index

About

Dr. Om Jee Pandey is a leading researcher at the intersection of computer vision, deep learning, and human-machine interaction, with key contributions to hand gesture recognition and environmental sound classification. His most cited work, "Robust Hand Gestures Recognition Using a Deep CNN and Thermal Images" (2021, 62 citations), pioneers the use of thermal imaging over traditional RGB cameras, dramatically improving robustness in low-light and cluttered environments. This breakthrough has far-reaching implications for assistive technologies, sign language translation, industrial automation, and crisis management. Dr. Pandey further demonstrates his versatility in "Divide and Distill: New Outlooks on Knowledge Distillation for Environmental Sound Classification" (2023, 25 citations), where he introduces novel distillation techniques to compress complex models like the vision MLP-mixer, enabling efficient audio-based surveillance and smart home systems. His work bridges the gap between theoretical deep learning and practical, deployable AI systems. With a growing citation impact and a focus on real-world applications—from robotics to disaster response—Dr. Pandey is shaping the future of multimodal, human-centered artificial intelligence.