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. Nadja Klein

Chair of Uncertainty Quantification and Statistical Learning

“Bayesian Computational Methods • Bayesian Deep Learning • Statistical and Machine Learning • Smoothing, Regularization and Shrinkage • Copula and Distributional Regression • Network Analysis • Spatial Statistics”

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”