Research Areas

The institute's research topics range from highly theoretical foundational research to application-oriented cooperations with industrial partners. Various research projects on national and international level foster vibrant exchange with colleagues world-wide. 

Computational Logic
  • Abstract Argumentation
  • Answer Set Programming
  • Description Logics
  • Existential Rules
  • Formal Concept Analysis
  • Semantic Technologies
Data Science (ScaDS.AI)
  • causal inference
  • machine learning / deep learning
  • time series analysis
  • climate research and other application areas
Machine Learning for Computer Vision
  • Combinatorial Optimization for Machine Learning
  • Clustering
  • Multiple Object Tracking
  • Deformable Object Recognition
  •  Image Segmentation
  • Biomedical Image Analysis
Machine Learning for Spatial Understanding (ScaDS.AI)
  • Image analysis of microscopy images
  • Object detection and segmentation
  • Object tracking
  • Self-supervised representation learning
Machine Learning for Robotics (CeTi)
  • Reinforcement Learning
  • Bayesian Optimization
  • Self-supervised Learning
  • Machine Learning for Robotics
  • Robot Manipulation
  • Touch Sensing
Software Engineering for Product Virtualization
  • Software Methods
  • Simulation Environments & Data Platforms
  • Multi-Disciplinary Analysis & Optimisation (MDAO)
  • High-fidelity simulations
  • Surrogate Models
  • High Performance Computing (HPC)
  • Programming and Data Models
  • Software Security
  • Simulation-based certification
Knowledge-Based Artificial Intelligence (ScaDS.AI)
  •  Knowledge bases
  •  Knowledge extraction
  •  Natural language processing
  •  Large language models
  •  Commonsense knowledge

Scientific Computing for Systems Biology
  • Scientific Computing
  • Computational Biology
  • Bio-Image Informatics
  • Parallel High-Performance Computing
  • data-driven modeling  

About this page

Sebastian Rudolph
Last modified: Nov 07, 2024