Research Seminar on Artificial Intelligence (RSAI)

 

The research seminar on AI is jointly hosted by the RWTH Cluster of Excellence “Internet of Production” (IoP) and the RWTH AI Center. The events are organized by the AI expert group of the IoP, which is led by the Knowledge-Based Systems Group (KBSG, Prof. Lakemeyer) and the Institute for Data Science in Mechanical Engineering (DSME, Prof. Trimpe). This series of events provides a space for PhD researchers and postdocs to present their AI-related research to the IoP and AI community of RWTH. 

 

Events in 2023

Date	Speaker(Institute)	Topic
June - September	Summer Break
06.06.2023	Dr.-Ing. Julian Hofmann (Institute of Hydraulic Engineering and Water Resources Management)	floodGAN: A deep learning-based model for rapid urban flood forecasting
09.05.2023	Dr. David Rügamer (Institut für Statistik und Wirtschaftsmathematik)	Semi-Structured Neural Networks
25.04.2023	Ali Harandi, M.Sc. (Institute of Applied Mechanics)	On the employment of physics-informed neural networks in computational solid mechanics
28.03.2023	Dr. rer. nat. Stefan Palkovits (Institute of Technical and Macromolecular Chemistry)	Using Artificial Intelligence To Forecast Water Oxidation Catalysts
14.03.2023	Osama Maqbool, M.Sc. (Institute for Man-Maschine-Interaction)	Logical Scenarios for Systematic Training and Validation of AI-based Systems
28.02.2023	Dominik Scheurenberg, M.Sc. (Institute of Automatic Control)	Improving closed-loop performance by combining process knowledge and process data

 

 

Events in 2022

Date	Speaker(Institute)	Topic
13.12.2022	Felix Weber, M.Sc. (Chair and Institute for Materials Applications in Mechanical Engineering)	AI Enhanced Estimation of Microstructure-Property-Relationships for Heavy-Section Castings
29.11.2022	Alexander von Rohr, M.Sc. (Institut für Data Science im Maschinenbau)	Local Policy Search with Bayesian Optimization
15.11.2022	Christian Lagemann, Dr.-Ing. (Chair of Fluid Mechanics and Institute of Aerodynamics)	Learning Physical Displacement Fields of Particle Laden Fluid Flows using Deep Optical Flow Networks
18.10.2022	Daniel Wolff, M.Sc. (Chair for Computational Analysis of Technical Systems)	Shape optimizing flow channels in profile extrusion dies
Cancelled  04.10.2022	Mona Buisson-Fenet, M.Sc. (Institute for Data Science in Mechanical Engineering)	Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs (cancelled)
20.09.2022	Florian Brillowski, M.Sc. (Institut für Textiltechnik)	When Algorithms Learn Like Humans - Can Curricula for Machine Learning Help to Tackle Data Scarcity?
06.09.2022	Paul Buske, M.Sc. (Chair for Technology of Optical Systems)	Advanced Beam Shaping for Laser Materials Processing Based on Diffractive Neural Networks
August	Summer Break
12.07.2022	Martin Unterberg (Chair of Manufacturing Technology)	Unsupervised Tool Condition Monitoring in Fine Blanking
28.06.2022	Oliver Rippel, M.Sc. (Institute of Imaging and Computer Vision)	Deep Anomaly Detection for Automated Visual Inspection
14.06.2022	Florian Frantzen, M.Sc. (Computational Network Science)	Outlier Detection for Trajectories via Flow-embeddings
17.05.2022	Paul Zheng, M.Sc. (ISEK)	Federated Learning in Heterogeneous Networks with Unreliable Communication
03.05.2022	Josina Schulte, M.Sc. (Chair of Experimental Physics III A)	Inference of Cosmic-Ray Source Properties by Conditional Invertible Neural Networks
19.04.2022	Dr. Youness Boutaib (Chair for Mathematics of Information Processing)	Path Classification by Stochastic Linear Recurrent Neural Networks
22.03.2022	Denny Thaler, M.Sc. (Institute für General Mechanics)	Training Data Selection for Machine Learning-Enhanced Monte Carlo Simulations in Structural Dynamics
08.03.2022	Giacamo Borghi, M.Sc. (Energy Entropy and Dissipative Dynamics)	Kinetic Theory for Metaheuristic Optimization Algorithms
22.02.2022	Jan Tönshoff, M.Sc. (Chair for Logic and Theory of Discrete Systems)	Graph Learning with 1D Convolutions on Random Walks

 

Events in 2021

Date	Speaker (Institute)	Topic
14.12.2021	Mahsa Pourbafrani, M.Sc. (Chair of Process and Data Science)	Explainable AI in practice: Remaining Time Prediction for Processes with Inter-Case Dynamics
30.11.2021	Muzaffer Ay, M.Sc. (Institute of Automatic Control)	Potentials and Challenges of Data-based Approaches in and around Model-predictive Quality Control
16.11.2021	Simon Cramer, M.Sc. (Chair of Production Metrology and Quality Management)	Predictive Quality in Manufacturing - Can AI replace Metrology?
02.11.2021	Dr. Giuseppe Visconti (Department of Mathematics "G. Castelnuovo" Sapienza University of Rome)	Mean-field and kinetic descriptions of residual neural networks with infinite layers
19.10.2021	Wei Zhou, M.Sc. (Human Language Technology and Pattern Recognition Group)	Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition
05.10.2021	Till Hofmann, M.Sc. (Knowledge Based-Systems Group)	Robust Execution of Abstract Task Plans on Mobile Robots
21.09.2021	Dr. Dominik Baumann (Institute for Data Science in Mechanical Engineering)	Causality in Learning-based Control
August	Summer Break
27.07.2021	Dr. Merih Seran Uysal (Chair of Process and Data Science)	Process Mining
13.07.2021	Vladimir Samsonov, M.Sc. (Institute for Information Management in Mechanical Engineering)	Learning-based Optimization in Manufacturing
29.06.2021	Paul Voigtländer, M.Sc. (Visual Computing Institute)	Video Object Segmentation