Nalika Ulapane
University of Technology Sydney, Peter MacCallum Cancer Centre
Papers
6
Total Citations
115
H-Index
4
About
Nalika Ulapane’s research sits at the intersection of robotics, nondestructive testing (NDT), and infrastructure monitoring, with a focus on ensuring the safety and longevity of critical assets like metallic pipelines. Her most impactful work, “Robotic pipeline wall thickness evaluation for dense nondestructive testing inspection” (56 citations), pioneers automated mapping of remaining wall thickness using inspection robots equipped with NDT sensors—a breakthrough for condition assessment of aging infrastructure. She further advances this field through “Towards Automatic Robotic NDT Dense Mapping for Pipeline Integrity Inspection” (21 citations), demonstrating a systematic approach to dense, robotic data collection. Ulapane also contributes to environmental monitoring and sensor optimization; her review “Adaptive sampling for spatial prediction in environmental monitoring using wireless sensor networks” (27 citations) synthesizes key strategies for deploying stationary and mobile robotic sensors. Her work on Gaussian processes as a benchmark for optimal sensor placement (5 citations) offers a rigorous framework for infrastructure monitoring technologies, including underground sensing. With a total of over 115 citations across her most-cited papers, Ulapane’s research is shaping how robots inspect and preserve our built environment, making her a rising voice in robotic NDT and smart infrastructure.
Research Focus
Key Achievements
Top Papers
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- 4Gaussian Process As a Benchmark for Optimal Sensor Placement Strategy5 citations · 2021
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- 6Gaussian Process As a Benchmark for Optimal Sensor Placement Strategy2 citations · 2021