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AI Researchers @ TU Dortmund

Our scientists are distinguished researchers, thought leaders, and innovators who continually push the boundaries of AI knowledge and its practical applications. With diverse backgrounds and specializations, they bring a wealth of experience and insights into their interdisciplinary collaboration. Their collective expertise spans areas such as Machine Learning, Philosophy, Statistics, Data Science and many more. Through their groundbreaking research, they not only advance the frontiers of AI but also mentor and inspire the next generation of AI enthusiasts and professionals. Their dedication, collaborative spirit, and pursuit of excellence make them instrumental in shaping the AI landscape within and beyond TU Dortmund University.

Junior Prof. Dr. Florian Boge
Philosophy of Science with a focus on Artificial Intelligence
“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”
Prof. Dr. Mario Botsch
Chair of Computer Graphics
“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”
Prof. Dr. Peter Buchholz
Modeling and Simulation Group
“Numerical techniques for the analysis of Markov chains • Stochastic models under uncertainty • Stochastic dynamic programming • Analysis of logistics systems, communication networks, and protocols”
Prof. Jian-Jia Chen
Design Automation for Embedded Systems Group
“Real-time and embedded systems • Resource-aware machine learning • Fault resilient embedded and low-power systems • Distributed computing”
Prof. Dr.-Ing. Uwe Clausen
Institute of Transport Logistics
“Resilient and Sustainable Transport • Urban Factories and Sustainable Urban Development • Simulation in Production and Logistics”
Prof. Dr. Philipp Doebler
Statistical Methods in Social Sciences
“Psychometric models • Interpretable and trustworthy machine learning • Large scale assessment • Agile intervention research”
Prof. Dr. Matthias Faes
Chair for Reliability Engineering
“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”
Prof. Dr. Gernot Fink
Pattern Recognition in Embedded Systems Group
“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”
Prof. Dr. Roland Fried
Chair of Mathematical Statistics and Applications in Sciences
“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”
Prof. Dr. Andreas Groll
Statistical Methods for Big Data
“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”
Prof. Dr. Stefan Harmeling
Chair of Artificial Intelligence
“Machine Learning • Deep Learning • Reinforcement Learning • Causality”
Univ.-Prof. Dr. habil. Dr. h. c. Michael Henke
Chair of Corporate Logistics
“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”
Prof. Dr. Dr. h. c. Michael ten Hompel
Fraunhofer Institute for Material Flow and Logistics (IML)
“Technical logistics • Industry 4.0 • cyber physical systems”
Prof. Dr. Falk Howar
Chair for Software Engineering
“Automated Analysis, Testing, and Verification • Automata Learning • Symbolic execution • Static code analysis”
Prof. Dr. Katja Ickstadt
Mathematical Statistics with Applications in Biometrics
“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”
Prof. Dr. Christian Janiesch
Enterprise Computing
“Business Informatics • Business Process Management & Robotic Process Automation • Information Systems Engineering • Artificial Intelligence in Management”
Prof. Dr. Carsten Jentsch
Chair of Business and Social Statistics
“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”
Prof. Dr. Gabriele Kern-Isberner
Information Engineering
“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”
Prof. Dr.-Ing. Sergio Lucia
Process Automation Systems
“Decision-making under uncertainty • Distributed control • Interplay between machine learning techniques and control theory”
Prof. Dr. Katharina Morik
Chair of Artificial Intelligence
“Machine Learning under resource constraints • Information Extraction from Texts and Text Classification • Clustering • Statistical Learning”
Prof. Dr. Emmanuel Müller
Chair of Data Science and Data Engineering
“Knowledge Discovery and Data Mining • Algorithms for Big Data Analytics • Verifiable Knowledge Discovery for Human Users”
Prof. Dr. Henrik Müller
Professor of Economic Policy Journalism
“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”
Prof. Dr. Daniel Neider
Chair of Verification and Formal Guarantees of Machine Learning
“Secure machine learning • Safety and reliability of artificial intelligence • Explainability of intelligent systems”
Prof. Dr.-Ing. Boris Otto
Fraunhofer Institute for Software and Systems Engineering (ISST)
“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”
Prof. Dr. Markus Pauly
Chair of Mathematical Statistics and Applications in Industry
“Asymptotic and nonparametric statistics • Multivariate and repeated measures analysis • Resampling techniques • Statistical and machine learning in theory and application”
Prof. Dr. Jörg Rahnenführer
Statistical Methods in Genetics and Chemometrics
“Statistical methods in toxicology and bioinformatics • Statistical analysis of gene expression data and clinical data • Survival analysis (analysis of event times)”
Prof. Dr. Jakob Rehof
Software Engineering
“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”
Prof. Dr. Günter Rudolph
Computational Intelligence
“Computational Intelligence in Games • Music Informatics • Optimization • Virtual Actors”
Prof. Dr. Dr. Wolfgang Rhode
Professorship for Experimental Physics - Astroparticle Physics
“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”
Junior Prof. Dr. Eva Schmidt
Professor of Theoretical Philosophy
“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”
Junior Prof. Dr. Kirsten Schorning
Chair of Mathematical Statistics
“Design of experiments • Biostatistics • Model selection and model averaging”
Prof. Dr. Erich Schubert
Data Mining
“Unsupervised data analysis • Cluster analysis • Anomaly detection, event detection • Intrinsic dimensionality”
Prof. Dr. Jens Teubner
Databases and Information Systems Group
“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”
Prof. Dr.-Ing. Petra Wiederkehr
Virtual Machining
“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”
Prof. Dr.-Ing. Christian Wietfeld
Communication Networks
“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”