press kit
Downloadable media assets (headshots, bios, attribution).
Press kit downloads
Photo usage: Photos are © Michael Färber and may be used free of charge for editorial purposes (reporting on research, interviews, events, or related coverage), with credit “© Michael Färber”. Minor cropping/resizing is fine. For other uses, please contact me.
Preferred attribution
Prof. Dr.-Ing. Michael Färber (TU Dresden / ScaDS.AI)
Short bio (2 lines)
Prof. Dr.-Ing. Michael Färber is a Full Professor at TU Dresden and Head of the Cognitive AI Unit at ScaDS.AI.
He specializes in trustworthy AI, including large language models and knowledge graph–enhanced systems that help researchers make sense of complex information.
Bio (standard, for general media)
Prof. Dr.-Ing. Michael Färber is a W3 Full Professor at the AI Center ScaDS.AI, TU Dresden, where he leads the group “Scalable Software Architectures for Data Analytics.” His work bridges large language models (LLMs), knowledge graphs (KGs), and graph neural networks (GNNs) to build reliable, evidence-anchored AI systems for complex decision support, scientific search, and explainable question answering. He has published over 100 peer-reviewed papers in top venues and leads multiple international research projects.
Bio (scientific / technical)
Prof. Dr.-Ing. Michael Färber’s research focuses on advancing trustworthy AI: developing models and systems that combine retrieval, structured knowledge, and deep learning to deliver verifiable, source-grounded answers in scientific and knowledge-intensive domains. His group’s work spans evaluation methodology, hybrid neuro-symbolic techniques, and scaling symbolic knowledge integration into modern language systems.
One-liner (lay audience)
Michael Färber builds AI tools that help people find trustworthy answers and navigate overwhelming scientific literature with clarity and evidence.
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