Prabhishek Singh

Papers

Total Citations

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About

Prabhishek Singh is a forward-thinking researcher whose work bridges artificial intelligence, civil infrastructure, and human-computer interaction. His primary research areas include AI-driven automation in construction, facial expression recognition, and resource management in IoT data centers. Singh’s most impactful contribution is his 2025 study on AI-driven innovations in tunnel construction and transport, which proposes a hybrid framework integrating Building Information Modeling (BIM) with machine learning models such as Artificial Neural Networks (ANN) and K-Nearest Neighbors (KNN). This work, garnering 11 citations, addresses the high-risk nature of tunnel construction by enhancing precision, safety, and efficiency through advanced robotics and machine learning. In facial expression recognition, Singh applied DenseNet architectures to categorize human emotions from facial cues, achieving 6 citations and demonstrating practical applications in video games, healthcare, and e-learning systems. His survey on resource management in IoT data centers, with 2 citations, identifies open issues in cloud computing security and unauthorized access. Singh’s interdisciplinary approach—from underground infrastructure to emotional AI—showcases a rare versatility, making his work relevant for students and researchers exploring the convergence of machine learning, robotics, and real-world engineering challenges.