Funded Research Projects
Third-party funded projects in which the chair develops and evaluates AI-based application systems together with partners from research and industry.
WiTrAI - AI Interventions in Recurring Knowledge Transfer Situations
Runtime: 2026-2029
Scope: This research focuses on the sustainable and efficient AI-supported realization of knowledge transfers exemplified in product development context.
GreenAI in heterogeneous, federated learning environments
Runtime: 2024-2026
Scope: This research focuses on the sustainable and energy efficient AI realization (incl. training, testing, usage, refinement, ...).
Manufacturing and Digital Transformation: A Business Model Innovation Perspective
Runtime: 02/2024-01/2025
Scope: The proliferation of AI technologies offers opportunities for manufacturing firms. It is researched how they can re-examine their business models and innovate beyond new products and services in order to stay competitive.
Distributed AI in Industry-4.0 Production Systems
Runtime: 2023-2024
Scope: Conducting a preliminary study in distributed AI-enabled Industry 4.0 production plants using a model.
Development and Evaluation Projects
Semester-long project seminars in which small teams develop an AI system with a partner organisation and evaluate it in actual use.
Sustainability in AI-based Application Systems
Seminar contributions on what artificial intelligence costs and what it can save, across the economic, ecological and social dimension.
AI-based Application Systems — Winter Semester 2025/26
Student teams build a complete AI system: they collect their own data, train a neural network against an OLS reference model, and ship the result as containers. Each video is their own account of that process.
AI-based Application Systems — Winter Semester 2024/25
The first cohort of the same course. Same task, different problems — from used-car prices to hotel review sentiment.