TMDT scientists work on both basic and applied research topics.
Research at the TMDT is characterized by an interdisciplinary network of areas in computer science, economic, and social sciences. The TMDT pursues both a basic research-oriented and an application-oriented perspective. The five research areas are derived from this perspective and can be divided into the areas of data management and semantic technologies, modeling of artificial intelligence, transparency and interpretability of learning models, and communication and acceptance of intelligent systems. These topics are flanked by organizational and socio-economic considerations. The application areas of the research range from production and smart living to mobility and logistics.
Areas of Research
Applied AI, reinforcement learning, anomaly detection
Sensor data analysis, transparency of machine learning and deep learning models
Data management, knowledge graphs, semantic technologies
User acceptance, explicatory models, participation concepts
Authoring tools, educational processes, user experience and usability
Areas of Application
Industry 4.0, smart factories and autonomy in production
Cooperative, connected and automated mobility
Future living, smart home and energy efficiency
