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TU Berlin

Inhalt des Dokuments

Colloquium Data-Driven Methods in Engineering Science

The talks will be given 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.

 

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 2020.

SS2020: 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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