
Campus Hof
The campus is the management and administrative center of the university. Here you will find the university library, high-tech laboratories and university sports facilities.
Research topics
The research topics that are addressed in this Master's program can be found as bullet points in the following list, which is grouped by research area:
Please note:
For your mandatory literature review required for the application, please pick one of the bullet points (not the research area/headline in general)!
Cyber-Physical Systems (Prof. Dr. Valentin Plenk)
- Industry 4.0 - vertical integration
- Condition monitoring and predictive maintenance
- Industry 4.0 - processing performance, quality and status data
- Application of machine learning approaches in a production environment
Intelligent and Learning Systems (Prof. Dr. Christian Groth)
- Deep neural networks for vision (scene and object recognition)
- Generative AI for image creation
- Simulation of cognitive robotic systems
- Learning in robotic systems
Innovative Healthcare (Prof. Dr.-Ing. Dietmar Wolff)
- Ambient assisted living technologies
- Virtual and augmented reality in health care applications
- Robotic technologies used in care processes
- Digitalization of health care
- Use cases and adoption of technologies to them
Process Mining (Prof. Dr. Lars Ackermann):
- Process Discovery for multi-modal unstructured data (text, images, sensor data)
- Multi-modal Predictive Business Process Monitoring (event logs + text or images)
- Overcoming data scarcity to lower the implementation hurdles for process mining (data augmentation, transfer learning)
- Process Mining for dynamic environments (varying resource availability, decision-intensive processes)
Multimodal Artificial Intelligence (Prof. Dr. René Peinl)
- Natural user interfaces for man-machine interaction (speech, VR, AR, gestures, …)
- Fast inferencing for deep neural networks on edge devices (image, video, speech)
- Voice-assistants with LLMs as the backbone
- Training of Vision Language Models (VLMs) on diverse diagrams (UML, BPMN, …)
- Highly Customizable Manufacturing Execution Systems (MES) as the core of Industry 4.0
Supply Chain Digitization (Prof. Dr. Heike Markus)
- Smart factory / Industry 4.0
- Artificial Intelligence in Supply chain management
- Supply Chain Analytics
- Practical approaches for Supply Chain Digitization
Systems and Network Security (Prof. Dr. Florian Adamsky)
- Secure distributed systems
- Distributed Denial of Services (DDoS) amplification
- Vulnerability analysis
- Privacy and anonymizing services
Visual Analytics (Prof. Dr. Claus Atzenbeck)
- Computer-Supported Cooperative Work (CSCW) from Knowledge Workers' Perspectives
- Human-Computer Interaction (HCI) for Browsing Information Spaces
- Human Factors in Information Structures
