Jagendra Singh
Papers
2
Total Citations
43
H-Index
2
About
Dr. Jagendra Singh is at the forefront of applied artificial intelligence, making significant strides in both computer vision and civil infrastructure. His research primarily focuses on deep learning for human-computer interaction and the integration of AI into complex engineering systems. In the realm of computer vision, Dr. Singh developed a pioneering real-time Convolutional Neural Network (CNN) architecture for emotion and gender classification. This work, which has garnered 32 citations since 2024, enables the accurate extraction of facial features to identify six basic emotions, with profound implications for interactive technologies and psychological research. Expanding his expertise into the built environment, Dr. Singh has proposed a groundbreaking hybrid framework for tunnel construction and transport. By fusing Building Information Modeling (BIM) with machine learning models like Artificial Neural Networks (ANN), his 2025 study (11 citations) aims to revolutionize safety and efficiency in high-risk infrastructure projects. This dual focus—from decoding human expression to optimizing massive engineering feats—showcases Dr. Singh’s versatility and his commitment to solving real-world challenges through intelligent systems. His work stands as a bridge between human-centric AI and industrial automation.
Research Focus
Key Achievements
Top Papers
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- 2