Laurent KouadioHome

Teaching & Mentorship

Courses, supervision, and a teaching philosophy centered on rigor, curiosity, and real-world geoscience problems.

Laurent Kouadio presenting AI research to research group

AI in Geophysics Seminar · CSU

Lectures & research seminars

Presenting Geothermal AI 2.0 research

Geothermal AI 2.0 · Research Lecture

Approach

Teaching Philosophy

I teach AI in geophysics by linking theory to usable workflows. Students should leave with mathematical intuition, practical coding habits, and the confidence to question models rather than simply run them.

Think from first principles

Build intuition for signals, physics, and uncertainty before treating machine learning as a black box.

Learn by building

Use guided projects and reproducible notebooks so abstract ideas become applied research skills.

Connect research to society

Frame technical work around groundwater, geohazards, and environmental decision-making.

Curriculum

Course Offerings

AI for Geophysics

Undergraduate and Master's

An introduction to machine learning methods for geophysical interpretation, feature engineering, inversion support, and responsible model evaluation.

Topics covered

Supervised learning for geoscience dataSignal preprocessing and feature designModel evaluation, uncertainty, and pitfalls

Time-Series Forecasting for Earth Systems

Advanced / Research

A deeper course on forecasting, uncertainty, and physics-guided learning for environmental and subsurface systems.

Topics covered

Sequence models and attention mechanismsProbabilistic forecasting and calibrationPhysics-informed constraints and transferability
Laurent Kouadio teaching statistical learning at the chalkboard, CSU

CSU · Chalkboard

Statistical Learning in Geophysics

Laurent Kouadio lecturing AI and Its Applications in Geosciences, CSU School of Infophysics, May 2025

School of Infophysics · CSU

AI and Its Applications in Geosciences

May 2025 · Changsha, China

Research Mentorship

I mentor students through the full research cycle: defining a question, building the workflow, evaluating evidence, and communicating results clearly.

Good mentorship does not remove difficulty; it helps students grow strong enough to handle it.

Collaboration & community

9th China AI & Big Data Geoscience Research Workshop expert committee

9th China AI & Big Data Geoscience Forum · Expert Committee

Machine Intelligence in Earth Systems conference talk

Machine Intelligence · Earth Systems Forum

Dinner with Prof. Xia Jianghai (ZJU) and Prof. Jianxin Liu (CSU)

With Prof. Xia (ZJU) & Prof. Liu (CSU) · Changsha

Presenting GeoProir v3 physics-guided AI model to research group

GeoProir v3 · Physics-Guided AI · Seminar