🔍 Research Projects

Lithological Mapping and Uncertainty Quantification

• Lithological Mapping Using Aeromagnetic and Gravity Data,
• Swin Transformer–Based U-Shaped Network,
• Theoretical Analysis of Uncertainty Sources.

Deep Learning–Based Lithological Mapping
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Seismic Data Denoising with Deep Learning

• Sparse-domain, image-to-image seismic denoising,
• Swin-Transformer-enhanced UNet,
• Strong, dataset-agnostic performance gains.

Seismic data denoising with Deep learning
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Earthquake Source Inversion

Improving seismic monitoring networks:
• Accurate source characterization using 3D background models
• Effective inversion using pre-computed 3D Greens function database
• Earthquake monitoring at regional and global networks

3D Seismic Model Visualization
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Triggering Mechanism of Earthquakes

Exploring microseismic event triggering mechanisms using:
• Full moment tensor inversion
• Precise source localization
• Event classification

Microseismic Event Analysis
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Laboratory Acoustic Emission Monitoring

Exploring failure processes through:
• Improving sensor coverage through network optimization
• AE monitoring and source characterization
• Controlled rock fracture experiments
• Uncertainty analysis and quantification

Acoustic Emission Laboratory Setup
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🏷️ Research Areas