Ankush Singla
Papers
2
Total Citations
101
H-Index
2
About
Dr. Ankush Singla is a leading researcher at the intersection of deep learning, edge computing, and civil infrastructure health monitoring. His primary research focuses on developing computationally efficient neural networks for real-time, on-device analysis, particularly for the Internet of Things (IoT). Dr. Singla’s most significant contribution is pioneering the application of pruning techniques to deep convolutional neural networks, enabling complex condition assessments—like structural damage detection—to run directly on resource-constrained edge devices such as unmanned aerial vehicles (UAVs) and autonomous inspection robots. His seminal 2019 work on pruning deep CNNs for edge computing in infrastructure assessment has garnered 99 citations, underscoring its foundational impact on the field. In a related study, he further demonstrated how these efficient models can replace labor-intensive manual inspections with automated, real-time analysis. By bridging the gap between advanced AI and practical IoT constraints, Dr. Singla’s work is instrumental in making autonomous infrastructure monitoring both feasible and scalable, paving the way for safer, smarter cities.
Research Focus
Key Achievements
Top Papers
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