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TU Berlin

Inhalt des Dokuments

Colloquium Data-Driven Methods in Engineering Science

The talks will be given Wednesdays online via Zoom and start at 1pm sharp. The duration of the meeting is about 1h with 30-45min for the talk and 15min for questions and further discussions. In case of interest, please contact us to receive the meeting details.

 

SS2022: Seminar talks at DMF
Date
Speaker
Title of the talk
20.04.2022
MSc. Maxim Savtschenko
Development of an ignition forecast
using machine learning

01.06.2022
MSc. Paul Porath
Image-based Flashback Detection in a Hydrogen-fired Gas Turbine using Deep-Learning Techniques
22.06.2022
MSc. Art Pelling
Data-driven Modelling of Acoustical Systems with the Eigensystem Realization Algorithm
06.07.2022
MSc. Felix Köster
Reservoir Computing

 

Seminar talks given in the summer term 2021.

SS2021: Seminar talks at DMF
Date
Speaker
Title of the talk

31.03.2021
J. Florian Radack
(TU Berlin)
Robust & Fast Prediction of Exceptional Points in Thermoacoustics
14.04.2021
Dr. Giacomo Bonciolini (Swiss International)
Modeling of thermoacoustic dynamics in gas turbine applications
12.05.2021
Dr. Noah Klarmann
(TU Munich)
Reinforcement Learning: Basic Intuition and Applications for Technical Systems
26.05.2021
Dr. Nguyen Anh Khoa Doan
(TU Delft)
AI in Fluid Dynamics
09.06.2021
Dr. Thomas Steinbacher (IfTA Sys­tems GmbH)
Monitoring Methods for Gas Turbines

 

 

 

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