TUM GNI International Symposium 2026
Artificial Intelligence for the Built World
18th – 20th May 2026
in Munich
Key Dates
Full Papers Due: 1st December 2025
Paper Acceptance: 31st January 2026
Registration: 15th February 2026
Symposium: 18th – 20th May 2026
Accepted papers are published in proceedings with DOIs.
Symposium Topics
1. Advanced AI Applications
- Machine Learning
- Data-Centric Engineering
- Explainable Informatics
- Knowledge Representation
- Reasoning with Knowledge
- Scientific Machine Learning
2. Digital Twins and AI
- Advanced Digital Twins
- Probabilistic Digital Twins
- Advanced System Identification
- Automatic Control
- Decision Support Systems
3. Digital Technologies and AI
- Digital Archiving
- Semantic Web
- Consistency Management
- Distributed Systems
4. Intelligent Interfaces
- User Models
- Adaptive Interfaces
- AECOM Context
- Engineer-Computer Interaction
- Testing and Validation
5. Sensed Infrastructure and Urban Planning, and AI
- Infrastructure Design and Maintenance
- Transportation Infrastructure
- Pedestrian Dynamics
- Damage Detection
6. Sustainable Design and Intelligent Materials
- Design and Testing of Smart Materials
- Adaptive Structures
- Sustainability & Circularity
- Net Zero and Sustainable Real Estate
- Early Design Support
- Responsive Cities
- Environment, Social and Governance (ESG)
7. Robotics
- On-site operations
- Off-site operations
- Additive Manufacturing
- Learning Robots
Venue
The symposium is hosted at one of the most important centers for science, teaching and entrepreneurship in Germany.
The Oskar von Miller Forum is just a stones throw away from the City Center Campus of the Technical University of Munich (TUM).
All symposium venues are easily reachable by public transport.
Munich has an excellent multi-modal public transport system, including buses, trams, the U-Bahn (subway), and the S-Bahn (suburban trains). Details on the zones, tickets, tariffs, and transportation maps are available from the MVV and MVG (local transport authority) websites and apps. Disruptions and changes are announced regularly on these channels, at stations, and in vehicles.
Tickets can be purchased according to zones at stations, in trams and buses, or as a mobile ticket from the DB, MVV, or MVG apps.
Details to come.
The Bavarian Alps are easily reachable from Munich and are perfect for a day trip.
For more information on events and entertainment in and around Munich, explore the Munich Tourism website.
TUM GNI
The TUM GNI is a flagship centre for academic research, teaching and knowledge transfer to society. Research fields include artificial intelligence, machine learning, data-centred engineering and related data and knowledge-based technologies. We concentrate on applications in architecture, engineering, construction, operate & management in the built environment (AECOM). The Institute thus develops and promotes a new generation of technologies with strategic importance for digital sciences in general and AECOM industries in particular. It contributes to solving the grand societal challenges of the environment, climate, information & communications, mobility & infrastructure. Taking advantage of big data, extracting information by data analytics, creating insight from machine learning as well as representing and reasoning with knowledge, „AI for the Built World“ focuses on the creation of efficient technologies for supporting important aspects of AECOM decision-making. The institute publicly marked its foundation with the Kickoff Symposium in April 2021. In 2024, the TUM GNI teamed up with the TUM Venture Labs for the TUM GNI Symposium and Expo, from basic research to industrial application and back, that brought together academic researchers and representatives from companies and start-ups to discuss the opportunities and risks in a growing field from both research and industry perspectives.
Founded in 2021, the institute is funded through the generous donation by the Nemetschek Innovation Foundation.