TUM GNI International Symposium 2026

Artificial Intelligence for the Built World

18th – 20th May 2026
in Munich

 

Preliminary Program

**THE PROGRAM IS SUBJECT TO CHANGE**
Last update 02.04.2026
(All times are in the CEST Timezone)

Keynote Speaker

Academic

Daniel Cremers

Professor of Computer Vision and Artificial Intelligence
at the Technical University of Munich, Germany

Prof. Cremers works at the intersection of image processing, machine learning, and robotics, with the goal of enabling machines to analyze and interpret visual data. His methods emphasize convex optimization, statistical learning, and neural networks. He has served as co-editor of the International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, and the SIAM Journal on Imaging Sciences, and he is President of the European Computer Vision Association. He studied physics and mathematics at the Universities of Heidelberg, Indiana State, and Stony Brook, and earned his doctorate in computer science from the University of Mannheim in 2002. He then held a postdoctoral position at UCLA, joined Siemens Corporate Research in Princeton in 2004, and accepted a position at the University of Bonn in 2005. Since 2009, he has been a full professor of image processing and artificial intelligence at Technical University of Munich. Prof. Cremers directs the Munich Center for Machine Learning, the Munich Data Science Institute, and ELLIS Munich, and is a member of the Bavarian Academy of Sciences and Humanities.

Olga Fink

Professor of Intelligent Maintenance and Operations Systems
at Ecole Polytechnique Fédérale de Lausanne, Switzerland

Olga Fink has been an Assistant Professor at EPFL since March 2022, focusing on intelligent maintenance and operations. She is a research affiliate at MIT and an Innosuisse ICT expert. Her work develops hybrid methods that combine physics-based models with deep learning, including operational digital twins, transfer and self-supervised learning, deep reinforcement learning, and multi-agent approaches for intelligent maintenance and operations of infrastructure and complex assets. Before EPFL, she was awarded and held a prestigious Swiss National Science Foundation professorship and served as Assistant Professor at ETH Zurich (2018-2022); earlier, she led the Smart Maintenance Research Group at Zurich University of Applied Sciences (2014-2018). She sits on editorial boards of Mechanical Engineering and Signal Processing, Reliability Engineering and System Safety, and IEEE Sensors. Fink earned her doctorate from ETH Zurich, and a Diploma in industrial engineering from Hamburg University of Technology. She gained industry experience as a reliability engineer at Stadler Bussnang AG and as a reliability and maintenance expert at Pöyry Switzerland Ltd. Her recognitions include selection among Switzerland’s Top 100 Women in Business (2018) and as a Young Scientist of the World Economic Forum (2019).

Mani Golparvar-Fard

Professor of Civil Engineering
at University of Illinois Urbana-Champaign, USA

Mani Golparvar is a Professor of Civil Engineering, Computer Science, and Technology Entrepreneurship at the University of Illinois Urbana-Champaign, where he serves as a Faculty Entrepreneurial Fellow, Excellence Faculty Fellow, and directs the Real-time and Automated Monitoring and Control (RAAMAC) Lab. He earned a PhD in Civil Engineering and an MS in Computer Science from UIUC in 2010, an MASc in Civil Engineering from the University of British Columbia in 2006, and MS and BS degrees in Civil Engineering from the Iran University of Science and Technology (2005, 2002). Before joining UIUC, he was an Assistant Professor at Virginia Tech. Golparvar collaborates widely with construction firms—notably Turner Construction—holds multiple patents, and co-founded Reconstruct Inc., a venture-backed startup ($28M) that commercializes outcomes of his research. His honors include the 2018 ASCE Walter Huber Research Prize, 2017 ENR Young Professional Award, 2016 ASCE Dan H. Halpin Award, 2013 ASCE James R. Croes Medal, 2013 FIATECH CETI Award, and the 2012 ASCE J. of Construction Engineering and Management best paper award. He founded RECONSTRUCT, a startup delivering visual data analytics for construction projects; its UIUC-licensed technology has recieved multiple honors, including an Innovation Award from Turner Construction (2015) and recognition by the World Economic Forum (2016).

Gwyllim Jahn

RMIT University Lecturer | Runchat Co-founder and CEO | Fologram Co-founder

Gwyllim Jahn is the co-founder and CEO of Runchat, a technology startup building design agents to augment and automate creative workflows. He is also the Creative Director of Fologram, a company he co-founded in 2017 to develop software for fabrication in mixed reality. Fologram’s work has been internationally awarded, including for the 2019 Tallinn Architecture Biennale and the 2024 ACADIA Digital Practice award. Gwyllim holds a PhD from RMIT University where he is a lecturer in Architecture and Design. His research on digital craft, generative design and mixed reality fabrication is the subject of an upcoming book from Actar.

Ghang Lee

Professor of Architecture & Architectural Engineering
at Yonsei University, South Korea

Ghang Lee holds a professorship in Architecture and Architectural Engineering at Yonsei University in Seoul, South Korea, where he leads the Building Informatics Group. He also maintains an affiliation with the Technical University of Munich’s Institute for Advanced Studies as a Hans Fischer Senior Fellow. His research focuses on building information modeling, data interoperability, information requirements management, quality assurance, and artificial intelligence applications in the construction industry. Throughout his career, Prof. Lee has pioneered numerous innovative technologies. These include the eXtended Process and Product Modeling tool for developing information requirements aligned with ISO 29481 standards, a navigation system for tower cranes, and an intelligent emergency exit signage system utilizing IoT technology to guide building occupants toward safe evacuation routes. He has also created a mobile-based construction management platform and NADIA, a voice-controlled BIM detailing application. With over 200 academic publications, including contributions to the widely-referenced BIM Handbook, Prof. Lee has established himself among the most influential researchers in building and construction, as recognized by Stanford University and Elsevier’s global rankings. His achievements have been honored with numerous accolades, including national recognition from the Korean government, institutional research awards from both Yonsei University and Georgia Tech, and multiple teaching excellence distinctions.

Marc Nezet

Group Chief Strategy Officer and Chief Division Officer O&M, Nemetschek Group

Marc Nézet is a visionary leader at the forefront of digital transformation in the architecture, engineering, construction, and operations (AEC/O) industry. As Chief Strategy Officer of the Nemetschek Group, Marc spearheads the company’s strategic initiatives, including mergers and acquisitions, venture investments, and AI innovation. He also leads the Operate & Manage Division as Chief Division Officer, driving the development of cutting-edge software solutions that revolutionize facility operations, reduce costs, and enhance energy efficiency. With over two decades of experience in the technology sector, Marc brings a wealth of knowledge in software transformation and strategic growth. Marc’s global perspective is shaped by his diverse international experience, having lived and worked in Finland, Russia, Turkey, Sweden, France, and now in Germany. This multicultural background enables him to bring a unique, worldwide view to the challenges and opportunities in the AEC/O industry.

Jörn Plönnigs

Professor of Artificial Intelligence for Sustainable Construction
at the University of Rostock

Prof. Jörn Plönnigs was appointed in September 2022. Before that, he was a Senior Technical Staff Member at IBM Research, directing global efforts on AI at scale for Digital Twins and the future of infrastructure, and building AI products to enhance sustainability in facility and asset management. His work focused on uniting semantic knowledge graphs with machine learning and optimization to automate the development and operation of Digital Twins. Earlier, he led the junior research group Energy Design at TU Dresden and, as a Feodor Lynen Fellow of the Humboldt Foundation, headed the Data Science group at ITOBO, the Irish collaborative center for sustainable and optimized building operations. He studied electrical engineering at TU Dresden and earned a PhD in computer science. In 2017, he completed his habilitation at TU Dresden with the work Automating the Internet of Buildings, introducing methods to automate design and analysis processes for sustainable buildings.

Key Dates

Full Papers Due: 1st December 2025
Extended Full Paper Deadline: 8th December 2025, 17:00 CEST

Paper Acceptance: 31st January 2026

Registration: 15th February 2026

Symposium: 18th – 20th May 2026

Accepted papers are published in proceedings with DOIs.

Registration Open

Early Bird: 300 €
 Early registration open until 14th March 2026!

Regular Ticket: 400 €
Regular symposium ticket price.

Late Bookers: 500 €
Symposium ticket price from 15 April 2026.

Symposium Dinner: 120 €
The Symposium Dinner will be held on Tuesday, 19th May 2026.

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 city of Munich boasts a rich history and many interesting sites including the Olympia Park and Stadiums, Schloss Nymphenburg, the Frauenkirche, Museums such as BMW World or the Pinakotheken, and much more.

      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.

      Syed Salman Ahmed, Technical University of Munich
      Robert Amor, The University of Auckland
      Jakob Beetz, RWTH Aachen University
      Mario Berges, Carnegie Mellon University
      Tanya Bloch, Technion Israel Institute of Technology
      André Borrmann, Technical University of Munich
      Frédéric Bosché, University of Edinburgh
      Maikel Brinkhoff, Technical University of Munich
      Andrea Carrara, Technical University of Munich
      Eleni Chatzi, ETH Zurich
      Xia Chen, Technical University of Munich
      Dafydd Cotoarba, Technical University of Munich
      Pierluigi D’Acunto, Technical University of Munich
      Agata Dalach, Technical University of Munich
      Pieter de Wilde, Lund University
      Changyu Du, Technical University of Munich
      Olga Fink, Ecole Polytechnique Fédérale de Lausanne
      Kasimir Forth, ETH Zurich
      Stefan Fuchs, Technical University of Munich
      Stephan Günnemann, Technical University of Munich
      Daniel Hall, TU Delft
      Benedict Harder, Technical University of Munich
      Timo Hartmann, TU Berlin
      Ina Heise, Technical University of Munich
      Shang-Hsien Hsieh, National Taiwan University
      Julia Kaltenegger, Eindhoven University of Technology
      Oindrila Kanjilal, Technical University of Munich
      Nayun Kim, Technical University of Munich
      Yonghan Kim, Technical University of Munich
      Christian Koch, Bauhaus-Universität Weimar
      Markus König, Ruhr University Bochum
      Michael Kraus, TU Darmstadt
      Prakash Kripakaran, University of Exeter
      Bimal Kumar, University of Strathclyde
      Shih-Pu Kuo, Technical University of Munich
      Ghang Lee, Yonsei Univeristy
      Qiuchen Lu, The Bartlett School of Construction and Project Management
      Florian Noichl, Technical University of Munich
      Stephanie Paal, Texas A&M University
      Pieter Pauwels, Eindhoven University of Technology
      Ekaterina Petrova, Eindhoven University of Technology
      Frank Petzold, Technical University of Munich
      Jörn Plönnigs, IBM Research
      Ernst Rank, Technical University of Munich
      Benny Raphael, IIT Madras
      Rafael Sacks, Technion Israel Institute of Technology
      Kay Smarsly, Hamburg University of Technology
      Ian Smith, Ecole Polytechnique Fédérale de Lausanne
      Lucio Soibelman, University of Sothern California
      Daniel Straub, Technical University of Munich
      Georg Suter, Vienna University of Technology
      Jochen Teizer, Technical University of Denmark
      Walid Tizani, University of Nottingham
      Yelda Turkan, Oregon State University
      Thomas Wortmann, University of Stuttgart
      Nobuyoshi Yabuki, Osaka University
      Huaquan Ying, Technion Israel Institute of Technology

      Syed Salman Ahmed, TUM Georg Nemetschek Institute
      Jose Quesada Allerhand, TUM Georg Nemetschek Institute
      André Borrmann, TUM Georg Nemetschek Institute
      Dafydd Cotoarba, TUM Georg Nemetschek Institute
      Agata Dalach, TUM Georg Nemetschek Institute
      Mohab Hassaan, TUM Georg Nemetschek Institute
      Ina Heise, TUM Georg Nemetschek Institute
      Oindrila Kanjilal, TUM Georg Nemetschek Institute
      Nayun Kim, TUM Georg Nemetschek Institute
      Shih-Pu Kuo, TUM Georg Nemetschek Institute
      Sarah Mühlhaus, TUM Georg Nemetschek Institute
      Máté Péntek, TUM Venture Labs Built Environment
      Panagiotis Petropoulakis, TUM Georg Nemetschek Institute
      Zijian Wang, TUM Georg Nemetschek Institute
      Andre Yu Li, TUM Georg Nemetschek Institute

       

       

      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.