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Olga Fink

EPFL ENAC IIC IMOS
GC A3 424 (Bâtiment GC)
Station 18
1015 Lausanne

A dirigé les thèses EPFL de

Ismail Nejjar

Cours

Introduction to machine learning for engineers

CIVIL-226

Machine learning is a sub-field of Artificial Intelligence that allows computers to learn from data, identify patterns and make predictions. As a fundamental building block of the Computational Thinking education at EPFL, Civil students will learn ML with civil case studies (summary generated by ML)

Machine learning for predictive maintenance applications

CIVIL-426

The course aims to develop machine learning algorithms capable of efficiently detecting faults in complex industrial and infrastructure assets, isolating their root causes, and ultimately predicting their remaining useful lifetime.

Data Science for infrastructure condition monitoring

CIVIL-332

The course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real data, feature engineering to developing suitable machine learning algorithms.

Frontiers of Deep Learning for Engineers

CIVIL-611

The seminar aims at discussing recent research papers in the field of deep learning, implementing the transferability/adaptability of the proposed approaches to applications in the field of research of the Ph.D. student.