
Olga Fink
EPFL ENAC IIC IMOS
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Doctorant·es actuel·les
Sergei Garmaev, Mengjie Zhao, Leandro Von Krannichfeldt, Han Sun, Kevin Antonio Steiner, Zepeng Zhang, Amaury Pierre Jiezhi Wei, Raffael Pascal Theiler, Chenghao Xu, Keivan Faghih Niresi, Vinay Sharma
A dirigé les thèses EPFL de
Cours
Introduction to machine learning for engineers
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
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
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
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.