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Olga Fink is a professor of Intelligent Maintenance Systmes at the Swiss Federal Institute of Technology (ETH Zurich). She is known for her work on generalizable algorithms for fault prognosis of transport and energy processes.

Education and career
Fink studied Industrial Engineering at Technical University Hamburg Harburg where she obtained a diploma degree in 2008. She moved to ETH Zurich for a Ph.D. in Civil Engineering under supervision of Prof. Ulrich Weidmann which she received in 2014 for her thesis "Failure and Degradation Prediction by Artificial Neural Networks: Applications to Railway Systems".

Afterwards she held a position as Senior Lecturer at the Zurich University of Applied Sciences where she led the group for Smart Maintenance. Since 2014 she is a research affiliate at the Massachussets Institute of Technology. In 2018 she started as Professor for Intelligent Maintenance Systems at ETH Zurich under a SNF Professorship grant.

Work
Fink develops data-driven maintenance processes for industrial energy and transport systems. These build on artificial intelligence to analyze data collected through continuous monitoring and predict future faults. Specifically trained neural networks scan these signals for anomalies and are used to calculate efficient maintenance intervals. 

Fink applies these techniques to a broad class of systems including railway components, chemical processing plants and power transmission.

Awards

 * 2019. World Economic Forum Young Scientist
 * 2018. Top 100 Women in Business