- Water Systems and Optimization
- Energy Load and Power Forecasting
- Ultrasonics and Acoustic Wave Propagation
- Complexity and Algorithms in Graphs
- Hydrology and Watershed Management Studies
- Smart Grid Security and Resilience
- Hydraulic flow and structures
- Computational Geometry and Mesh Generation
- Computational Physics and Python Applications
- Machine Learning and Algorithms
- Flow Measurement and Analysis
- Smart Grid and Power Systems
- Hydrological Forecasting Using AI
Chongqing University
2025
Imperial College London
2022-2025
Mapping the spatial distribution of specific neurons across entire brain is essential for understanding neural circuits associated with various functions, which in turn requires automated and reliable neuron detection mapping techniques. To accurately identify somatic regions from 3D imaging data generate soma locations to diverse regions, we introduce NeuronMapper, a brain-wide approach that leverages power deep learning. NeuronMapper implemented as four-stage framework encompassing...
Novel methods for detecting and localising leaks in water distribution networks are being increasingly investigated as utilities face unprecedented financial environmental challenges reducing losses. A promising method includes the solution of regularised inverse problem that minimises difference between simulated measured data addition to regularisation term. However, results leak localisation sensitive choice parameter. In this paper, we propose investigate a iterative tuning parameter...