Seminars in Engineering Risk Analysis & Probabilistic Modeling

The seminars are open to all members of TUM and the interested public.

Unless otherwise indicated, seminars are held on Wednesday from 13.30 to 14.30.

Seminars take place in room N3620, building N6 (https://portal.mytum.de/displayRoomMap?@0106). The seminars are held in a hybrid format and are streamed via zoom. Please contact Hugo Rosero for an invitation to the zoom meetings.

A list of past seminars can be found here.

Upcoming Seminars

April 10, 2024

Nicolás Villegas (TUM)

Probabilistic damage assessment of water network under seismic hazard in Lima and Callao, Peru

Maya Tohmaz (TUM) Probabilistic seismic risk analysis for residential buildings in Lima and Callao, Peru
April 3, 2024 Lisa Roßgoderer

Graph-based Multi-Agent Deep Reinforcement Learning for Cost-efficient Predictive Maintenance in Infrastructure Systems

March 20, 2024
Yelu Zhou
Physics and information dual-driven analysis of the structural behaviour of the sheild tunnel

March 13, 2024            

Barbara Rösch (TUM)                       

Investigation of Natural Hazards in an Alpine Catchment and their Importance for the Risk Analysis in Tourist Destinations - on the Basis of the Partnachklamm, Garmisch-Partenkirchen                               

Fan Wang (TUM) Failure analysis of linear dynamic systems with rational surrogate models
March 6, 2024 Kai Cheng (TUM) Sequential directional importance sampling for structural reliability analysis
February 21, 2024 Philipp Strupp (TUM) Developing Optimal Automotive Clamping Concepts with Discrete Variable Optimization
February 20, 2024 Iason Papaioannou (TUM)

Global reliability sensitivity analysis of systems with multiple failure modes

February 8, 2024 Daniel Koutas (ERA) Convexity-enforced Deep Reinforcement Learning for tackling POMDPs
January 17, 2024 Paula-Sophie Becklas (TUM) GIS-based flood modelling for estimating damage applied to the Bavarian Danube
January 17, 2024 Sebastian Schiele (TUM) Synthetic generation of flood scenarios for the Bavarian Danube catchement
January 10, 2024

Prof. Lori Graham-Brady (Johns Hopkins University)

Data-driven ML- and UQ-enhanced approaches for materials design and analysis: part 2

December 20 Prof. Elizabeth Qian (GeorgiaTech) Balanced truncation for Bayesian inference

November 29

Ajdin Tatarevic

(TUM)          

Efficient estimation of reliability of uncertain linear structural systems under random dynamic loading
November 22

Daniel Hettegger

(TUM)

A First Look at Model Based Reinforcement Learning for Infrastructure Maintenance

November 8            

(ab 14:00)

Philipp Strupp (TUM)                       

 

Erik Haider (TUM)

Objectification of Clamping and Fixing Concepts for Automotive Manufacturing                               

 

Development of a Safety Concept for the Use of BMW Series Components for a Steer-by-Wire and Brake-by-Wire Solution in Research Prototypes

October 25

Moritz Effenberger

(Universität Stuttgart)          

Bayesian inference of grouted anchors
October 18

Prof. Lori Graham-Brady (Johns Hopkins University)

Data-driven ML- and UQ-enhanced approaches for materials design and analysis