Projects and Theses

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Are you looking for an interesting topic for a project or thesis?

Here you can search for topics from different application areas such as autonomous driving, applications in the field of renewable energies. Also, you can search for topics from the field of machine learning, such as novelty detection, graph neural networks, etc. Under each category you will find the names of the IES researchers working on each topic. The specific topics offered by each researcher can be found by clicking on the drop-down button. The researchers' contact details are also provided with corresponding links to their websites.

Fields of application

Autonomous driving and e-mobility

  • Research topics:
    • Deep Representation Learning
    • Transfer Learning
    • Human-in-the-loop based Explainable AI
  • Employee side
  • Research topics:
    • Behavior Modeling of Traffic participants
    • Causal Representation Learning
    • Federated Learning
    • Evidential Learning
  • Employee side
  • Research topics:
    • Data Acquisition, Annotation, and Evaluation
    • Perception (Camera, Radar, Lidar)
  • Staff page

Computer Graphics

  • Research topics:
    • OpenGL/Vulkan or other (interactive) Data Visualization
  • Staff page

Bioacoustics

  • Research topics:
    • Self-Supervised Representation Learning
    • Active Learning
  • Employee side

Biometrics

  • Research topics:
    • Biometrics with a focus on online signature verification
  • Staff page

Renewable energies

  • Research topics:
    • Deep Representation Learning
    • Transfer Learning
    • Human-in-the-loop based Explainable AI
  • Employee side
  • Research topics:
    • Power Grid Control with Deep Reinforcement Learning
      • Balancing Objectives in Power Grid Control: Exploring Multiobjective Deep Reinforcement Learning
      • Towards Transparent Power Grid Control: Exploring Explainable Deep Reinforcement Learning for Enhanced Decision-Making
      • Enhancing Power Grid Control Through Uncertainty-Aware Deep Reinforcement Learning
      • Exploiting Graph Structures for Enhanced Power Grid Control: Exploring Graph Neural Networks in Reinforcement Learning
  • Staff page
  • Research topics:
    • Transfer learning and multi-task learning
  • Employee side

Experimental Physics & Materials Science

  • Research topics:
    • Intelligent experimentation in technology and physics
    • Image analysis for accelerator physics and microscopy
    • 2D & 3D particle tracking in the nano range
  • Staff page
  • Research topics:
    • Physics-Informed Machine Learning
    • Maritime biofouling robotics
    • Data-driven rheology of non-Newtonian fluids
  • Staff page

Electronics design

  • Research topics:
    • Graph Neural Networks for PCB Optimization
  • Staff page

Learning & Teaching Systems

  • Research topics:
    • Fully integrated learning, teaching and assessment environments
    • Simulators in learning, teaching and assessment (in technical computer science)
    • Learning, teaching and assessment life cycles (in computer engineering)
  • Staff page

Machine learning techniques

Deep learning

  • Research topics:
    • Deep generative models - VAEs & GANs
    • Embedding learning with deep neural networks
  • Staff page
  • Research topics:
    • Accelerated topology optimization with deep generative models
  • Staff page
  • Research topics:
    • Intelligent experimentation in technology and physics
    • Image analysis for accelerator physics and microscopy
    • 2D & 3D particle tracking in the nano range
  • Staff page
  • Research topics:
    • Power Grid Control with Deep Reinforcement Learning
  • Employee page
  • Research topics:
    • Deep object detection in autonomous environments
  • Staff page
  • Research topics:
    • Data-centric deep learning in application-oriented settings
  • Staff page
  • Research topics:
    • (Unsupervised) Representation Learning for Data Acquisition
    • Object Detection for Autonomous Driving
  • Employee side
  • Research topics:
    • Graph Neural Networks for Power Grid Applications
    • Oversmoothing and Oversquashing in Graph Neural Networks
    • Spectral Graph Neural Networks
  • Staff page

Explainable AI

  • Research topics:
    • Towards Transparent Power Grid Control: Exploring Explainable Deep Reinforcement Learning for Enhanced Decision-Making
  • Staff page
  • Research topics:
    • Explainability of the framework for continuous learning
  • Employee side

Graph Neural Networks

  • Research topics:
    • Utilizing graph transformers to approximate NP-hard problems
    • Solving the game "Scotland Yard" using planning algorithms
    • Learning the UCT-parameters in MCTS
  • Staff page
  • Research topics:
    • Graph embeddings for transfer learning and multi-task learning
  • Employee page
  • Research topics:
    • Exploiting Graph Structures for Enhanced Power Grid Control: Exploring Graph Neural Networks in Reinforcement Learning
  • Staff page
  • Research topics:
    • Graph Neural Networks for PCB Optimization
    • Active Learning for Graph Neural Networks
  • Staff page
  • Research topics:
    • Graph Neural Networks for Power Grid Applications
    • Oversmoothing and Oversquashing in Graph Neural Networks
    • Spectral Graph Neural Networks
  • Staff page

Human-in-the-loop

  • Research topics:
    • Physics-Informed Machine Learning
    • Maritime biofouling robotics
    • Data-driven rheology of non-Newtonian fluids
  • Staff page
  • Research topics:
    • Active learning with multiple uncertain sources of knowledge
    • Active learning with alternative query types
    • Learning with noisy labels
    • Learning from information beyond labels
  • Employee side
  • Research topics:
    • Active continuous learning
    • Deep active learning
  • Employee side
  • Research topics:
    • Active learning for deep object detection
    • Active learning in deep learning
    • Interaction between humans and learning machines
  • Employee side
  • Research topics:
    • Stream-based active learning
    • Stream/online learning
    • Active learning
  • Employee side
  • Research topics:
    • Active Learning for Graph Neural Networks
  • Staff page
  • Research topics:
    • Data Annotation and Evaluation Workflows
  • Staff page
  • Research topics
    • Deep Active Learning
    • Learning from Crowds
  • Employee page

Novelty Detection

  • Research topics:
    • Renewable energy forecasting and anomaly detection
  • Staff page

Transfer Learning

  • Research topics:
    • Multi-task learning and transfer learning
  • Employee side
  • Research topics:
    • Transfer learning and multi-task learning
  • Employee side

Uncertainty & Probabilistic Models

  • Research topics:
    • Probabilistic prediction
  • Staff page
  • Research topics:
    • Uncertainty modeling in deep learning (classification & object detection)
  • Staff page
  • Research topics:
    • Sample Selection for Data Acquisition
  • Employee side
  • Research topics:
    • Enhancing Power Grid Control Through Uncertainty-Aware Deep Reinforcement Learning
  • Staff page