pyCSAMT
Python toolbox for AMT/CSAMT: end-to-end processing, SEG-EDI/Zonge compatibility, and 2D/3D geophysical inversion workflows.
Now at INP-HB · YamoussoukroComputational
Computational
geophysicist
I build physics-guided AI and open-source tools that turn subsurface and satellite data into forecasts people can trust, for natural hazards, groundwater and mineral resources.
- 0
- Publications
- 0
- Talks
- $1.14M
- Research funding
- 0
- Patents & copyrights
- 0
- Open-source tools
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- Countries
16 as first author
Since 2017 · 1 session chaired
2 grants · 12 contracts
1 patent · 1 software copyright
Python packages on GitHub and PyPI
China · Thailand · UAE · USA
Research trajectory
Publications and talks across each stage of my career, as a running total or year by year.
Milestones
2026
Lecturer-researcher at INP-HB, Côte d’Ivoire
2024
Faculty researcher and lecturer at CSU
2022
Postdoctoral fellow at Central South University
2018
PhD in geophysics at Zhejiang University
Cumulative output since 2017
PublicationsTalks
Four axes, one question
How can big data and physics-guided AI make Earth-system forecasts trustworthy enough to act on?
Axis 01
Big Data in Earth Systems
Satellites, geophysical surveys and sensor networks produce far more data than traditional geoscience workflows can turn into insight.
Explore the axis
Axis 02
Natural Hazards
Land subsidence, contamination from failing landfills and wildfires threaten cities, water and ecosystems — often faster than monitoring can follow.
Explore the axis
Axis 03
Groundwater & Mineral Exploration
Finding water and mineral resources where data are scarce remains costly and uncertain.
Explore the axis
Axis 04
Uncertainty & Trustworthy Forecasting
Making reliable decisions requires a trustworthy understanding of forecast uncertainty.
Explore the axisOpen-source software
Python packages I develop and maintain for the community.
k-diagram
Polar diagnostics toolkit for forecast uncertainty, coverage, calibration, and severity.
GeoPrior-v3
Scientific Python framework for physics-guided geohazard analysis, forecasting, and risk-oriented interpretation.
Base-attentive
Modular encoder-decoder framework for sequence-to-sequence forecasting with layered attention blocks.
Selected publications
Recent peer-reviewed work.
Environmental Modelling & Software2026
A diagnostic framework for interpreting spatiotemporal probabilistic forecasts
Kouadio, K. L.; Liu, R.; Loukou, K. G. H.; Liu, W.; Qing, Z.; Liu, Z.
Read the paperWaste Management2026
A low-cost method for planar localization of leakage points in closed landfills
Liu, R.; Liu, Y.; Jiang, S.; Yang, G.; Kouadio, K. L.
Read the paperComputers & Geosciences2025
A mixture learning strategy for predicting aquifer permeability coefficient K
Kouadio, K. L.; Liu, J.; Liu, W.; Liu, R.
Read the paperLatest writing
Essays and tutorials on geophysics, AI and open science.
GeophysicsOct 14, 20268 min read
Digital Geoscience: More Than a Discipline, a Passion
When curiosity about the Earth meets the joy of programming, understanding and creating
Read article
GeophysicsOct 14, 202615 min read
Understanding Digital Geoscience: Foundations, Methods and Perspectives
How mathematics, physics, scientific computing and artificial intelligence are changing the way we understand the Earth
Read article
SoftwareApr 4, 202615 min read
GeoPrior-v3: Physics-Guided AI for Trustworthy Geohazard Forecasting
Why GeoPriorSubsNet matters for land subsidence forecasting, reproducible science, and decision-ready risk analysis
Read articleOngoing initiative
Water4All Africa
Better water decisions, stronger water security.
An open water-data and decision-support platform that connects community needs, field science and trustworthy modelling, with AI-assisted groundwater and drilling intelligence at its core.
- Côte d’Ivoire as first pilot node
- 54 African country nodes prepared
- Observe → Understand → Predict → Validate → Act
water4all-africa.org
Let’s build something useful together
Research collaboration, student projects, talks or software: I am always happy to hear about new ideas.