“Deep Learning and scientific understanding • Concept-possession in artificial systems • Deep Learning robustness in scientific practice • Philosophy of models and simulation • General philosophy of science”

“Efficient acquisition, optimisation, animation, and visualization of 3D geometric objects • 3D-scanning and motion capturing of humans • Modelling and animation of virtual characters • Real-time visualization in interactive virtual reality scenarios”

“Numerical techniques for the analysis of Markov chains • Stochastic models under uncertainty • Stochastic dynamic programming • Analysis of logistics systems, communication networks, and protocols”

“Real-time and embedded systems • Resource-aware machine learning • Fault resilient embedded and low-power systems • Distributed computing”

“Resilient and Sustainable Transport • Urban Factories and Sustainable Urban Development • Simulation in Production and Logistics”

“Psychometric models • Interpretable and trustworthy machine learning • Large scale assessment • Agile intervention research”

“Inverse methods for uncertainty quantification, including interval techniques and Bayesian model updating schemes • Advanced numerical propagation schemes for uncertainty analysis and quantification • Reliability analysis and reliability based design optimization under scarce data • Imprecise probabilistic concepts for robust uncertainty quantification”

“Development and application of pattern recognition methods in the fields of man-machine interaction • Multimodal machine perception including speech and image processing • Handwriting recognition • Analysis of genomic data”

“Statistics in bio and environmental sciences • Modelling of spatial data and time series • Robust signal extraction and change point detection • Statistics of extremes with applications in science”

“Methods for Variable Selection and Regularization, in particular in Generalized Linear/Additive (Mixed) Models and Survival analysis • Categorical Data • Sports Statistics, in particular modeling and prediction of international soccer tournaments • Semiparametric Regression”

“Machine Learning • Deep Learning • Reinforcement Learning • Causality”

“Management of Industry 4.0 & Platform Economy • Blockchain and Smart Contracts • Financial Supply Chain Management • Supply Chain Risk Management • Logistics and Supply Chain Management • Purchasing and Supply Management”

“Technical logistics • Industry 4.0 • cyber physical systems”

“Automated Analysis, Testing, and Verification • Automata Learning • Symbolic execution • Static code analysis”

“Spatial and spatio-temporal point process modelling with applications in biology and epidemiology • Gaussian process modelling and analysis with various applications • Bayesian methods and Markov Chain Monte Carlo techniques • Regression methods for very large, high-dimensional data”

“Business Informatics • Business Process Management & Robotic Process Automation • Information Systems Engineering • Artificial Intelligence in Management”

“Mathematical statistics • Inference methods for spatially and/or temporally dependent data • Time series econometrics • Stochastic network analysis • Natural language processing, text data analysis, topic models and large language models • Economic narratives, fake news and disinformation”

“Qualitative and quantitative knowledge representation • Non-monotonic and non-classical logics • Cognitive logics • Argumentation • Dynamics of knowledge and beliefs • Plausibilistic and preferential inference • Commonsense reasoning”

“Decision-making under uncertainty • Distributed control • Interplay between machine learning techniques and control theory”

“Machine Learning under resource constraints • Information Extraction from Texts and Text Classification • Clustering • Statistical Learning”

“Knowledge Discovery and Data Mining • Algorithms for Big Data Analytics • Verifiable Knowledge Discovery for Human Users”

“Text Mining Applications for detecting and quantifying economic narratives • Measuring media discourses and their implications for journalism and policy makers • European Integration and European public spheres”

“Secure machine learning • Safety and reliability of artificial intelligence • Explainability of intelligent systems”

“Clarification of the self-perception of economic journalists • Identification of key economic policy topics, early recognition and journalistic processing • European Monetary Union and political-economic development Prof. Dr.-Ing. Boris Otto, Fraunhofer Institute for Software”

“Asymptotic and nonparametric statistics • Multivariate and repeated measures analysis • Resampling techniques • Statistical and machine learning in theory and application”

“Statistical methods in toxicology and bioinformatics • Statistical analysis of gene expression data and clinical data • Survival analysis (analysis of event times)”

“Algorithms and complexity in type theory and logic • Typed lambda-calculi, process calculi and concurrency theory • Principles of programming languages, applications in automated methods for software analysis and software construction”

“Computational Intelligence in Games • Music Informatics • Optimization • Virtual Actors”

“Observation of messenger particles from astrophysical sources • Precise determination of the directional and energy dependence of the fluxes of messenger particles • Machine learning and development of new methods in data analysis • Creation and optimization of Monte Carlo algorithms”

“Epistemic reasons and epistemic normativity • Application of philosophical views of acting for a reason and action explanation to the issue of explainability of the actions of AI systems • Perceptual justification • Reasons for action and explanations”

“Design of experiments • Biostatistics • Model selection and model averaging”

“Unsupervised data analysis • Cluster analysis • Anomaly detection, event detection • Intrinsic dimensionality”

“Implementation of database systems on modern hardware architectures • Processing of particularly large amounts of data on modern computer hardware • Databases and information systems in teaching”

“Geometric-physical modeling, simulation, and optimization of real manufacturing processes • Analysis and modeling of process dynamics • Data-driven modeling of manufacturing processes based on sensor and simulation data”

“5G with specific focus on Campus Networks • 6G with focus on Mission-Critical Machine-Type Communications and Digital Network Twins • Smart Grid / Electric Vehicle Communications • Cognitive Networking for Unmanned Autonomous (especially Aerial) Vehicles”