AI in Industry
Four joint research projects led by scientists from TU Berlin, the University of Oxford, and Siemens AG are getting underway and will be funded through a seed funding program.
News from Jun 29, 2026
The trilateral seed funding program in the field of industrial AI between TU Berlin, Siemens AG, and the University of Oxford is entering its fifth round. Building on the success of previous collaborations, the “University Relations” department at Siemens AG (SAG), the “Impact Acceleration Account Team” at the University of Oxford, and the internal research funding program of the Vice President for Research and Transfer at TU Berlin have now announced four projects that will receive funding under the current call for proposals.
Funding for the participation of TU Berlin researchers is provided through TU Berlin’s internal research funding program, which is allocating 80,000 euros to the four project teams. Promoting excellent research through collaboration with leading academic institutions and industry partners is a central component of TU Berlin’s research strategy. The program is administered by the Chair of Entrepreneurship and Innovation Management in Faculty VII, headed by Prof. Jan Kratzer.
The seed funding program aims to stimulate innovative joint research projects and build long-term partnerships. The goal of the collaboration is to advance the development of industrial AI.
1. “Agentic Industrial Intelligence: From Digital Twin Reasoning to Cognitive Operations”
Project Team: Prof. Dietmar Göhlich, Faculty V (Mechanical Engineering and Transport Systems), Institute for Machine Design and System Technology, Methods for Product Development and Mechatronics; Dr. Le Tuan Anh, Faculty IV of Electrical Engineering and Computer Science, Institute of Telecommunications Systems, Open Distributed Systems; Prof. Giuseppe De Giacomo, Department of Computer Science, University of Oxford; Dr. Jonas Nitzler, Research Scientist, Simulation & Machine Learning, Siemens AG.
The project focuses on creating autonomous digital twins that make strategic decisions, ensure coordination between industrial systems, and provide mathematical guarantees for safety-critical processes.
2. “Task-Centered Framework for Analyzing Knowledge Requirements in CAD-to-CAE Workflows”
Project team: Prof. Rainer Stark, Faculty V (Mechanical Engineering and Transport Systems), Institute of Machine Tools and Factory Management, Division of Industrial Information Technology; Prof. Sara Bernardini, Department of Computer Science, University of Oxford; Dr. Loay Alkafafi, Principal Key Expert in the Motion Control Business Unit, Siemens AG
The goal of the project is to develop AI-based knowledge support for engineering workflows. This support is intended to assist engineers with computer-aided design and simulation tasks throughout the entire product development process.
3. “Decentralized AI System with Permanent Memory and Knowledge”
Project Team: Prof. Axel Küpper, Service-Centric Networking Group, Technical University of Berlin and Telekom Innovation Laboratories (T-Labs); Prof. Yarin Gal, Department of Computer Science, University of Oxford; Frank Salzburger, Portfolio Manager & Senior Software Architect, Siemens AG.
This project focuses on developing a decentralized AI storage system that enables the secure cross-organizational exchange and reuse of AI-generated knowledge. At the same time, the system ensures unrestricted data sovereignty and control for the participating industrial companies.
4. “Physically Accurate Digital Twins from Video”
Project team: Dr. Danh Le Phuoc, Faculty IV (Electrical Engineering and Computer Science), Institute of Telecommunication Systems, Open Distributed Systems Group; Prof. Ronnie Clark, Department of Computer Science, University of Oxford; Dr. Heike Brock, Senior Key Expert at Siemens Foundational Technology, Siemens AG.
The goal is to develop an innovative AI-supported process that automatically generates simulation-capable digital twins from video and photo data. This will make an important contribution to the rapid and efficient implementation of virtual industrial environments.
Further Information
If you are interested in collaborating with Siemens or would like further information, please contact:
Contact Person:
Hoai Ngan Truong
Siemens Research & Innovation Ecosystem Berlin
Department of Entrepreneurship and Innovation Management
+0049 15252184736
