Bertrand Charpentier
Data Analytics and Machine Learning
- ML for graphs
- Uncertainty estimation
- Robustness
Mariia Gladkova
Computer Vision and Artificial Intelligence
Dynamic Simultaneous Localization & Mapping
- Nonlinear optimization
- Image processing
- Design & deployment of neural networks
- C++, Python
- Visual scene understanding
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Intelligent systems & self-driving cars
Sara-Viola Kuntz
Multiscale Dynamics of Deep Neural Networks
- Multiscale systems
- Adaptive networks
- Mean field & graph limits
- Blowup & bifurcation theory
Christina Liepold
Business Analytics and Intelligent Systems
Servitization in Production Planning & Supply Chain Management
- Linear optimization, column & constraint generation
- Auction theory & combinatorial auctions
- Structured learning
- Decomposition methods
- Combinatorics
Larkin Liu
Logistics & Supply Chain Management
Reinforcement Learning Applications in Logistics & Supply Chain Management
- Monte Carlo methods for optimization
- Deep reinforcement learning
- Stochastic game theory
- Software engineering
Kristina Mach
Computer Aided Medical Procedures & Augmented Reality
Computer Vision for Ophthalmologic Surgery
- Segmentation (semantic understanding of 2D & 3D images), Report generation (image captioning), Classification (surgical phase detection)
- Clinical applications, ophthalmology, medicine
- Computer vision & Deep Learning (images & image-to-text)
- Python
Shiva Madadkhani
Renewable Energy Economics
- Classical ML methods
- Business cases
- Renewable energy technology
Julian Mayer-Steudte
T30f - Theoretical Particle and Nuclear Physics
Theoretical Particle Physics, Computational Physics
- Monte Carlo integration of statistical mechanics systems
- Lattice models
- Parallelized high performane computing
- Data analysis methods and numerical methods
- Models in physics
Yukiteru Murakami
Controlling Patterns with a Spatial Light Modulator During Si Electrodissolution
- Photo-electrochemistry and chemical reaction simulation
- Si dissolution
- Ellipsometry
- Spatial light modulator
- Stability analysis
Johanna Sommer
Data Analytics and Machine Learning
Robustness of Neural Networks for Combinatorial Optimization
- Foundations of machine learning
- 'low-level' PyTorch, Python
- Graphs, robustness, ODEs, time series
Nils Sturma
Identifiability & Inference of Causal Effects in Latent Variable Models
- Probability theory
- Multivariate statistics
- Algebraic geometry & computational algebra
- Structural equation models
- R, Python, computer algebra
Yan Xia
Photogrammetry and Remote Sensing
Perception & Place Recognition of 3D Urban Street Environment Using MLS Point Clouds
- Deep learning
- Computer vision
- Neural networks
- PyTorch, Tensorflow, Python
- Network design
Kamilia Zaripova
Computer Aided Medical Procedures & Augmented Reality
Geometric Deep Learning
- Graph neural networks
- PyTorch / PyTorch Geometric / PyTorch Lightning
- Deep learning
- Medical applications and datasets (spine & brain)
- Report generation