2018

Olga Fink has been elected as member of the ETH Risk Center.  

The Chair has been associated with the department of Information Technology and Electrical Engineering (D-ITET). We are looking forward to fruitful collaborations and exchange.  

Olga Fink gives a keynote address at the Intelligent Rail Summit in Malmö on “Deep Learning and Artificial Intelligence in Maintenance”.  

We welcome Qin Wang who starts a PhD project on Deep Transfer Learning for intelligent predictive maintenance applications. In industrial context, machine operation often vary in time. Current machine learning approach for PHM applications are usually fine-tuned to the available data, which often do not contain all relevant operating conditions. To the contrary, Qin Wang aims at finding detection, isolation and prediction methods robust to changes in operating conditions.  

Olga Fink has been selected as one of TOP 100 Women in Business in 2018 in Switzerland.