Key research themes
1. How can image reconstruction and error management techniques improve the resolution and reliability of Electrical Resistivity Tomography (ERT)?
This research theme focuses on advancing computational and mathematical methods that enhance the quality, accuracy, and robustness of Electrical Resistivity Tomography images. Due to the ill-posed and nonlinear nature of the ERT inverse problem, improvements in error quantification, regularization, adaptive meshing, and sensitivity analysis are critical to reducing artefacts and producing reliable subsurface images for various applications.
2. What are the optimal measurement strategies and electrode configurations to maximize information content and image quality in Electrical Resistivity Tomography?
This theme addresses the design and selection of current injection patterns and potential measurement strategies to improve the distinguishability and stability of ERT data. By evaluating electrode arrays, current injection schemes, and measurement modalities through theoretical, control-theoretic, and empirical analyses, researchers aim to identify the most informative configurations that reduce artefacts and enhance spatial resolution, especially in complex geometries.
3. How is Electrical Resistivity Tomography applied across diverse fields to reveal subsurface structures, and what are the methodological adaptations specific to those applications?
This theme explores the deployment of ERT in varied scientific and engineering disciplines including archaeology, hydrogeology, cultural heritage protection, and process engineering. It focuses on how methodological adaptations—such as array configurations, inversion schemes, and integration with complementary techniques—enable effective mapping and monitoring of subsurface features under domain-specific constraints and objectives.