On his recently updated ESR 5 fellow webpage, Ergys reflects on his journey over the past four years: THREAD has enriched me with collaborative research experiences, exposing me to diverse scientific approaches and perspectives. Ergys joined us in June 2020 and worked under the supervision of Brynjulf Owren at NTNU Trondheim on topics like geometric numerical integration of mechanical systems and machine learning techniques for predicting the mechanical behaviour of beams.

Now, Ergys has completed his PhD thesis on Structure preserving and machine learning methods for mechanical systems that he will defend on Thursday 27 June 2024. The day starts with a trial lecture The generalized-α method (27 June 2024 at 10:15 CEST) followed by the public defence (27 June 2024 at 14:15 CEST), both at room G144, Electrical Engineering Building at Gløshaugen, NTNU). Follow this link to participate digitally (Meeting ID: 955 8626 6754, Passcode: 480994, valid for both events).

The thesis summarises results from five papers that have been published in international journals like Journal of Computational Dynamics and International Journal of Computer Mathematics or have been submitted for publication. The work on geometric integration was performed in joint work with his colleagues at NTNU and with the THREAD team at MLU. In the second part of the thesis, Ergys used machine learning methods to predict the behaviour of beams motivated by medical engineering applications (joint work with the THREAD team at FAU) and to detect anomalies in subsea engineering systems based on data. This recent work on Supervised time series classification for anomaly detection in subsea engineering is an outcome of a secondment to THREAD's industrial partner TechnipFMC in Lysaker, Norway).

Ergys was part of the award winning Q&A with Project THREAD team in THREAD's internal video competition, contributed to the Living the project video and took some of the best photos in THREAD's image gallery. We will be following you next Thursday either in person at NTNU or online and wish you the best of luck, Ergys!