Research Seminar on Artificial Intelligence (RSAI)

  Logo AI-Center and IoP

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. 


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The objective is to increase the understanding of the AI research conducted within the IoP cluster in particular and at RWTH in general. Through this understanding, we want to allow participants to form an idea of the current challenges that have to be tackled as well as the state-of-the-art techniques in this field. By connecting researchers who work on AI methods with those who work on possible applications, the research efforts at RWTH can be bundled and strengthened.

This virtual event takes place on a Tuesday at 4pm CET, on a bi-weekly schedule. Each event consists of a 30-minute presentation on a specific research topic followed by a discussion of roughly 15 minutes. The presentations typically have a strong focus on AI methods such as machine learning, symbolic AI, or process mining. Further information about events can be found below.

If you would like to hear from renowned scientists from RWTH and other universities present cutting-edge research on methods and applications of artificial intelligence, you might be interested in the AI Colloquium.


Participants and Presenters

The research seminar is mainly aimed at scientists associated with the IoP and the AI Center from the RWTH. But students/researchers/professors from other areas and other affiliated research facilities (e.g. FZ Jülich) are very welcome.
If you would like to present a topic, please get in touch with the organisers.


Events in 2022


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
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