I am Martin Gaedke. Below are the facts, the story behind them, and the sources, so you can judge for yourself whether my view is worth asking for. Request a fit check.
The 1997 paper can be checked by its DOI; that it was the first is my own statement. The publications from 2000, the two roles, and the six funded projects are in my ORCID record. The AMiner ranking is as reported in 2020. The roles and industry projects further down are my own statements.
How do systems, technical and human, coordinate under uncertainty without breaking? I studied computer science and earned my doctorate at the University of Karlsruhe (today KIT). In 1997, when the web was still engineered by hand, I co-authored the first paper on web engineering, at the WWW6 conference in Santa Clara. In the same years I led industry projects in Karlsruhe with Daimler-Benz, Hewlett-Packard, Microsoft, and Microsoft Research. That work led to component-based and model-driven methods, to mashups that let non-programmers build their own tools, and to linked data and knowledge graphs that connect what organisations know.
Since 2007 I have been a full professor of computer science. Research alone would have kept this abstract. As dean of a computer science faculty from 2019 to 2025, and as director of a university computing centre from 2021 to 2026 and a member of the university's CIO board, I carried responsibility for people, infrastructure, and IT strategy under real constraints. That is where I learned what an organisation can actually absorb.
Today the same question has a new subject: AI agents that act on behalf of people, and the rules they have to act within. I am a founder of the International AIQT Foundation, a platform for exchange on artificial intelligence and quantum technology. And I try what I recommend on myself. My own company is run by one person and a fleet of AI agents, and its operating rules are public.
The full record: orcid.org/0000-0002-6729-2912
All six are listed as funded work in my ORCID record.
The thread: each concerns making data, systems, and people work together.
Also 1997 to 2001: industry projects with Microsoft and Microsoft Research.
A second kind of message is just as welcome. Teams building a collaborative research or innovation project write to ask whether the topic fits, what an expert partner would contribute, and whether a joint idea is worth developing.
I take part in collaborative projects on both sides of the transfer gap: as a research partner in publicly funded consortia, and as an expert partner in applied, industry-oriented work. If your project touches agentic systems, AI governance, or the transfer of AI research into practice, that is exactly the overlap. Consortium building runs on its own clock, so early beats complete: a call topic, a draft concept, or a gap in the partner map is enough to start the conversation.
Say what the project is about, what stage it is at, and what is still missing. You get an honest answer about fit, including a no when the fit is not there.
Write to martin@gaedke.ai, or see how a first message is answered.
Tell me what you are deciding, or what your project needs, and by when. You get a personal answer from me, as a rule within two working days.
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so the address is here in full to copy or type.
Also on LinkedIn: in/gaedke
My external work is focused on scientific services, scientific review, scientific writing, and knowledge transfer. This includes expert assessments, research-based recommendations, and transfer-oriented collaboration at the interface of science and practice. This website does not offer legal advice, tax advice, or unrestricted management consulting. Expert and review mandates for public bodies are carried out independently of the engagements described here, and neither is ever used to obtain the other. The services offered here are carried out independently of my university role and without the use of university resources. Research partnerships in publicly funded consortia are arranged in whichever role the project requires, and that is settled before any commitment.