Explore Team Members by Research Interests
What is this page about?
This page allows filtering over the union set over all research interests specified in our group member's profiles.
Members matching any of the selected interests will be displayed. Choosing a general interest like “Quantum Chemistry” will encompass all sub-categories within that field, e.g., “Computational Quantum Chemistry”.
What is this page's intended audience?
This page can be helpful for students seeking a Bachelor's or Master's thesis advisor aligned with their academic focus. For additional details on thesis opportunities, please visit our thesis request landing page.
Furthermore, this page may be used by potential job applicants to identify group members of common interest.
Our primary Team page offers a different view of our team.
Automatic Differentiation
Dynamical Systems
Explainable AI
ML for Physical Sciences
Adrian Hill
Doctoral Researcher
Digital Pathology
Graph Neural Networks
Multimodal Learning
Probabilistic ML
Representation Learning
Self-supervised Learning
Alexander Möllers
Doctoral Researcher
Anomaly Detection
Computer Vision
Deep Learning
Explainable AI
Natural Language Processing
Structured Prediction
Dr. Alexander Bauer
Postdoctoral Researcher
Bayesian Learning
Biomedical Sensing
Computational Neuroscience
Diffusion Models
Explainable AI
Inverse Problems
Neuroimaging
Probabilistic ML
Dr. Ali Hashemi
Postdoctoral Researcher
Biomedical Sensing
Biomedical Signal Processing
Computational Neuroscience
Independent Component Analysis
Kernel Methods
Speech and Audio Processing
Dr. Andreas Ziehe
Postdoctoral Researcher
Equations Learner (EQL)
Generative Models
Lattice Field Theory
ML for Physical Sciences
Renormalization Group Theory
Dr. Ankur Singha
Postdoctoral Researcher
Anomaly Detection
Generative Models
Large Language Models
Multimodal Learning
Time Series Analysis
Can Calisir
Doctoral Researcher
Biomedical Sensing
Computational Neuroscience
Functional Near-infrared Spectroscopy (fNIRS) Measurement and Analysis Techniques
Inverse Problems, Particularly FNIRS Image Reconstruction
Machine Learning Methods for Multimodal Sensor Data To Improve The Utilization Of Physiological Information During Data Analysis
Multimodal Learning
Dr. Eike Middell
Postdoctoral Researcher
Generative Models
ML for Physical Sciences
Quantum Chemistry (DFT, TDDFT, QM-MM, Fragment-based Quantum Chemistry)
Elron Pens
Doctoral Researcher
Diffusion Models
Generative Models
Information Theory
Inverse Problems
Multimodal Learning
Probabilistic ML
Fadli Damara
Doctoral Researcher
Efficient Machine Learning
Explainable AI
Generative Models
Farnoush Rezaei Jafari
Doctoral Researcher
Explainable AI
Higher-order Explanations
Kernel Methods
Methods for Explainable AI
Uncertainty Estimation
Florian Bley
Doctoral Researcher
Anomaly Detection
Hierarchical Learning
Model Distillation
Multimodal Learning
Probabilistic ML
Representation Learning
Robust Machine Learning
Self-supervised Learning
Unsupervised Learning
Florian C.F. Schulz
Doctoral Researcher
Expectation Estimation Incl. Kernel Mean Embeddings
High-Dimensional Statistics
Kernel Methods
Probabilistic ML
Hannah Marienwald
Doctoral Researcher
Anomaly Detection
Clustering
Explainable AI
Kernel Methods
Neural Networks
Unsupervised Learning
Dr. Jacob Kauffmann
Postdoctoral Researcher
Computer Vision
Diffusion Models
Generative Models
Inverse Problems
Large Language Models
Multimodal Learning
Normalizing Flows
Probabilistic ML
Score-based Models
Software for Machine Learning
Transformers
Jannik Wolff
Doctoral Researcher
Applications Of Machine Learning in Neuroscience
Biomedical Sensing
Computational Neuroscience
Electrophysiology
Modeling, Especially Behavioral Modeling
Reinforcement Learning
Dr. Johannes Niediek
Postdoctoral Researcher
Computational Neuroscience
Explainable AI
Graph Neural Networks
Language Education
Probabilistic ML
Johannes Maeß
Doctoral Researcher
ML for Physical Sciences
Materials Science
Physics
Quantum Chemistry
Dr. Jonas Lederer
Postdoctoral Researcher
Anomaly Detection
Computational Pathology
Digital Pathology
Explainable AI
Medical Image Analysis
Multimodal Learning
Representation Learning
Jonas Dippel
Doctoral Researcher
Anomaly Detection
Computational Pathology
Digital Pathology
Explainable AI
Medical Image Analysis
Multimodal Learning
Representation Learning
Julius Hense
Doctoral Researcher
Computer Vision
Digital Humanities
Explainable AI
Graph Neural Networks
Julius Martinetz
Doctoral Researcher
Generative Models
Graph Neural Networks
ML for Physical Sciences
Machine Learning for Quantum Chemistry
Khaled Kahouli
Doctoral Researcher
Computational Biology
Computer Vision
Digital Pathology
Explainable AI
ML for Environmental Sciences
Laura Stepanek
Doctoral Researcher
Biomedical Data Analysis
Computational Genomics
Computational Pathology
Digital Pathology
Explainable AI
Laure Ciernik
Doctoral Researcher
Explainable AI
Machine Learning for Medical Applications
Multimodal Learning
Representation Learning
Robust Machine Learning
Lorenz Linhardt
Doctoral Researcher
Bayesian Statistics
Generative Models
ML for Physical Sciences
Monte Carlo Methods
Normalizing Flows
Probabilistic ML
Variational Inference
Lorenz Vaitl
Postdoctoral Researcher
ML for Physical Sciences
Machine Learning for Quantum Chemistry
Probabilistic ML
Stochastic Differential Equations
Stochastic Processes
Ludwig Winkler
Doctoral Researcher
Cognitive Science
Computational Neuroscience
Computer Vision
Digital Pathology
Probabilistic ML
Representational Alignment
Lukas Muttenthaler
Doctoral Researcher
Explainable AI
Inherently Interpretable Models
ML for Medical Applications
Probabilistic ML
Manuel Welte
Doctoral Researcher
Generative Models
Inverse Problems
Probabilistic ML
Uncertainty Estimation
Marco Morik
Doctoral Researcher
Geometric Deep Learning
Graph Neural Networks
ML for Physical Sciences
Machine Learning
Message Passing Neural Networks
Molecular Dynamics
Quantum Chemistry
Martin Michajlow
Doctoral Researcher
Digital Pathology
Generative Models
Geometric Deep Learning
Graph Neural Networks
Machine Learning for Precision Medicine
Multi-omics Data
Multimodal Learning
Marvin Sextro
Doctoral Researcher
Explainable AI
Generative Models
Multimodal Learning
Representation Learning
Robust Machine Learning
Maximilian Eißler
Doctoral Researcher
Deep Learning
Diffusion Models
Dynamical Systems
Generative Models
Graph Neural Networks
ML for Physical Sciences
Normalizing Flows
Probabilistic ML
Score-based Models
Michael Plainer
Doctoral Researcher
Brain-Computer Interfaces
Computational Biology
Geometric Deep Learning
Graph Neural Networks
ML for Physical Sciences
Quantum Chemistry
Sequential Data
Dr. Mihail Bogojeski
Postdoctoral Researcher
AI for Healthcare
AI in Ophthalmology
Biomedical Sensing
Computational Pathology
Digital Pathology
Explainable AI
Multimodal Learning
Dr. Mina Jamshidi Idaji
Postdoctoral Researcher
Computational Neuroscience
Information Geometry
ML for Physical Sciences
NeuroAI
Probabilistic ML
Statistical Physics
Naima Elosegui Borras
Doctoral Researcher
Generative Models
Geometric Deep Learning
Graph Neural Networks
ML for Physical Sciences
Machine Learning for Quantum Chemistry
Dr. Niklas Gebauer
Postdoctoral Researcher
Biomedical Sensing
Brain-Computer Interfaces
Computational Neuroscience
Deep Learning for Inverse Problems
Elecrical Impedance Tomography (EIT)
Elektrophysical Modelling Of The Human Head
Inverse EIT Problem
ML for Physical Sciences
Nils Harmening
Doctoral Researcher
Computational Neuroscience
Digital Humanities
Explainable AI
Scientific Insight Discovery in The Humanties, I.e., in NLP and Digital History
Structured and Higher-order Explanations
Theory and Application Of Explainable AI
Dr. Oliver Eberle
Postdoctoral Researcher
Catalyst Research
ML for Physical Sciences
Multimodal Learning
Process Optimization
Variational Autoencoders
Parastoo Semnani
Doctoral Researcher
Explainable AI
Geometric Deep Learning
Representation Learning
Pattarawat Chormai
Doctoral Researcher
Causality (both Inference and Discovery)
Generative Models
Nonlinear Independent Component Analysis
Probabilistic ML
Dr. Pengzhou (Abel) Wu
Postdoctoral Researcher
Applications in Machine Learning
Bayesian Learning
Explainable AI
Graph Neural Networks
Ping Xiong
Doctoral Researcher
Anomaly Detection
Human Vs. Neural Network Alignment
Nonparametric Density Estimation
Nonparametric Statistics
Nonparametric Tensor Methods
Dr. Robert Vandermeulen
Postdoctoral Researcher
Computational Neuroscience
Geometric Deep Learning
Neural Networks
Neuroscience <-> Machine Learning
Saeed Salehi
Doctoral Researcher
Biomedical Sensing
Computational Neuroscience
Data Augmentation in Physiological Data
Development Of Practical BCI Applications for Real-world Environment
Electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs)
Dr. Seonghun Park
Postdoctoral Researcher
Advanced LLM Prompting for Language-to-language Translations
Applications Of Recurrent Neural Networks for Latent Space Analysis
Applications in MEG, EEG, NIRS
Digital Humanities
Generative Multimodal Sequential Data Augmentation (VAE, GAN, Diffusion Model)
Multimodal Learning
Probabilistic ML
Sergej Dogadov
Doctoral Researcher
Counterfactual Explanations
Deeper Understanding Why Neural Networks Make Mistakes
Digital Pathology
Explainable AI
Generative Models (Diffusion Models, Large Language Models, Variational Autoencoders, Normalizing Flows, GANs)
Probabilistic ML
Sidney Bender
Doctoral Researcher
Anomaly Detection
Anomaly Detection for Technical Systems
Biomedical Sensing
Explainable AI
Explainable AI for Regression
ML for Biomedical Sensing
ML for DBS (Deep Brain Stimulation)
ML for Energy Systems
Time Series Analysis
Dr. Simon Leszek (ne Letzgus)
Postdoctoral Researcher
Deep Learning
Generative Models
ML for Physical Sciences
Materials Science
Quantum Chemistry
Stefaan Hessmann
Doctoral Researcher
Computational Quantum Chemistry
Gaussian Process Regression
Long-range Dispersion Interactions
ML for Physical Sciences
Materials Science
Uncertainty Quantification
Dr. Stefan Gugler
Postdoctoral Researcher
Computational Physics
Geometric Deep Learning
Graph Neural Networks
ML for Physical Sciences
Message Passing Neural Networks
Quantum Chemistry
Thorben Frank
Doctoral Researcher
Cancer Evolution
Digital Pathology
Latent Space Representations
Simulations Of Cancer Cells
Tumor Heterogeneity
Tom Lukas Kaufmann
Doctoral Researcher
Computational Pathology
Digital Pathology
Explainable AI
Generative Models
Geometric Deep Learning
Graph Neural Networks
Self-supervised Learning
Weronika Kłos
Doctoral Researcher
Geometric Deep Learning
Graph Neural Networks
ML for Physical Sciences
Message Passing Neural Networks
Neural Operators
Quantum Chemistry
Winfried Ripken
Doctoral Researcher
Digital Humanity
Explainable AI
Generative Models
Large Language Models
Multimodal Learning
Reinforcement Learning