// Geotechnical Engineer & AI Researcher

Building the Future of Infrastructure

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enrico soranzo β€” researcher, engineer, innovator
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Machine Learning + Geotechnics + Automation
Enrico Soranzo

Bridging Geotechnics & AI

I'm a Senior Scientist at BOKU University, leading the intersection of machine learning and geotechnical engineering. With over a decade of experience in tunnel design and ground engineering, I'm now pioneering AI-driven solutions for smarter, safer infrastructure.

25+
Journal Publications
€2M+
Research Funding
10+
Supervised Theses
3
Active Grants

Focus Areas

🧠

ML in Geotechnics

Applying deep learning and neural networks to solve complex geotechnical problems, from slope stability to tunnel face analysis.

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Process Automation

Building AI-powered systems that automate geotechnical testing, analysis, and design workflows.

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Physical Modelling

Centrifuge modelling for infrastructure resilience, combining experimental data with machine learning.

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Computer Vision

CNN-based analysis of soil images, particle size distribution prediction, and automated grading systems.

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Reinforcement Learning

RL applications for tunnel boring machine optimization and face support pressure prediction.

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deepsoil

CEO & founder of BOKU University's AI spin-off, bringing geotechnical innovation to industry.

Career Timeline

2025 β€” Present

CEO & Founder

deepsoil β€” BOKU Spin-off

Vienna, Austria

2025 β€” Present

Senior Scientist

BOKU University

Vienna, Austria

2024 β€” Present

Privatdozent (Habilitation)

BOKU University

Teaching 4 courses, supervising 6+ students

2020 β€” Present

Deputy Head

Institute of Geotechnical Engineering, BOKU

Vienna, Austria

2020 β€” 2024

Postdoctoral Fellow

BOKU University

ML applications in geotechnics

2014 β€” 2020

Tunnel Design Project Manager

iC consulenten ZT GesmbH

Koralm Tunnel KAT3, Austria

Selected Papers

Journal 2026

Strength of a cement-improved clay and a machine learning evaluation

Soranzo, E., Shiferaw, H., M., Tosatto, S., Schneider-Muntau, B. β€” Geoscience Frontiers

Journal 2025

Large language models for automated grading in geotechnics

Soranzo, E. β€” Machine Learning and Data Science in Geotechnics

Journal 2025

Convolutional neural network prediction of the particle size distribution of soil from close-range images

Soranzo, E., Guardiani, C., Wu, W. β€” Soils and Foundations

Journal 2025

Reinforcement learning for the face support pressure of tunnel boring machines

Soranzo, E., Guardiani, C., Wu, W. β€” Geosciences

Journal 2023

Convolutional neural networks prediction of the factor of safety of random layered slopes

Soranzo, E., Guardiani, C., Chen, Y., Wang, Y., Wu, W. β€” Acta Geotechnica

Journal 2015

Face stability of shallow tunnels in partially saturated soil

Soranzo, E., Tamagnini, R., Wu, W. β€” GΓ©otechnique

Tech Stack

Programming

Python Fortran MATLAB

ML/AI Frameworks

TensorFlow PyTorch Keras Scikit-learn

Tools & Deployment

Streamlit Gradio Docker Git

Engineering Software

FLAC3D RS2 RFEM Sofistik AutoCAD

Languages

Italian (Native) English (C1) German (C1) Spanish (C1)

Let's Connect

Interested in collaboration, research opportunities, or just want to chat about ML in geotechnics?

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Email

enrico.soranzo
@boku.ac.at

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Phone

+43 1 47654 87312

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Location

Vienna, Austria

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Links

ORCID Β· ResearchGate