
Olga Fink
EPFL ENAC IIC IMOS
GC A3 424 (Bâtiment GC)
Station 18
1015 Lausanne
+41 21 693 66 29
Office: GC A3 424
EPFL › ENAC › IIC › IMOS
Website: https://IMOS.epfl.ch
+41 21 693 66 29
EPFL › ENAC › ENAC-SGC › SGC-ENS
+41 21 693 66 29
EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › EDCE-GE
Website: https://go.epfl.ch/phd-edce
+41 21 693 66 29
EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › EDRS-GE
Website: https://go.epfl.ch/phd-edrs
PhD Students
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
Past EPFL PhD Students
Courses
Introduction to machine learning for engineers
Machine learning for predictive maintenance applications
The course aims at developing machine learning algorithms that are able to use condition monitoring data efficiently and detect occurring faults in complex industrial assets, isolate their root cause and ultimately predict the 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.