GNI Symposium & Expo on
Artificial Intelligence for the Built World
from basic research to industrial application and back
The TUM Georg Nemetschek Institute Artificial Intelligence for the Built World (TUM GNI) is hosting the „GNI Symposium & Expo on Artificial Intelligence for the Built World – from basic research to industrial application and back“ from 10th – 12th September 2024. The official call for abstracts is planned for 5th January 2024.
10th – 12th September 2024
The symposium will be held in Munich, Germany, September 10th – September 12th 2024.
Scientific Committee
Burcu Akinci, Carnegie Mellon University, USA
Chimay Anumba, University of Florida, USA
Robert Amor, University of Auckland, NZ
Sez Atamturktur Russcher, Clemson University, USA
Burcin Becerik, University of Southern California, USA
Mario Berges, Carnegie Mellon University, USA
Jakob Beetz, RWTH Aachen University, Germany
André Borrmann, TU Munich, Germany
Ioannis Brilakis, University of Cambridge, UK
Eleni Chatzi, ETH Zurich, Switzerland
Genda Chen, Missouri University of Science and Technology, USA
Pieter De Wilde, University of Strathclyde, UK
Martin Fischer, Stanford University, USA
Thomas Froese, University of Victoria, Canada
David Gerber, University of Southern California, USA
Philipp Geyer, University of Hannover, Germany
Branco Glisic, Princeton University, USA
Mani Golparvar Fard, University of Illinois, USA
Carl Haas, University of Waterloo, Canada
Deitrich Hartmann, Ruhr-Universität Bochum, Germany
Timo Hartmann, TU Berlin, Germany
Shang-Hsien (Patrick) Hsieh, National Taiwan University, Taiwan
Jonas Jörin, ETHZ, SEC, CREATE, Singapore
Christian Koch, Bauhaus University Weimar, Germany
Chan Ghee Koh, National University of Singapore, Singapore
Markus König, Ruhr-Universität Bochum, Germany
Iva Kovacic, TU Vienna, Austria
Prakash Kripakaran, University of Exeter, UK
Kincho Law, Stanford University
Fernanda Leite, UT Austin, USA
Haijiang Li, Cardiff University, UK
Udo Meissner, TU Darmstadt, Germany
John Messner, Penn State University, USA
Hai Young Noh, Stanford University, USA
William O’Brien, UT Austin, USA
Stephanie Paal, Texas A&M University, USA
Pieter Pauwels, TU Eindhoven, Netherlands
Feniosky Pena-Mora, Columbia University, USA
Frank Petzold, TU Munich, Germany
Matteo Pozzi, Carnegie Mellon University, USA
Ernst Rank, TU Munich, Germany
Benny Raphael, IIT Madras, India
Raphael Sacks, Technion, Israel
Kristina Shea, ETH Zurich, Switzerland
Kay Smarsly, TU Hamburg, Germany
Lucio Soibelman, University of Southern California, USA
Daniel Straub, TU Munich, Germany
Georg Suter, TU Vienna, Austria
Ann Sychterz, University of Illinois Urbana-Champagne, USA
Jochen Teizer, TU Denmark
Walid Tinzani, University of Nottingham, UK
Xiangyu Wang, Curtin University in Perth, Australia
Nobuyoshi Yabuki, Osaka University, Japan
Justin Yeoh, National University of Singapore, Singapore
Scientific Committee
Burcu Akinci, Carnegie Mellon University, USA
Chimay Anumba, University of Florida, USA
Robert Amor, University of Auckland, NZ
Sez Atamturktur Russcher, Clemson University, USA
Burcin Becerik, University of Southern California, USA
Mario Berges, Carnegie Mellon University, USA
Jakob Beetz, RWTH Aachen University, Germany
André Borrmann, TU Munich, Germany
Ioannis Brilakis, University of Cambridge, UK
Eleni Chatzi, ETH Zurich, Switzerland
Genda Chen, Missouri University of Science and Technology, USA
Pieter De Wilde, University of Strathclyde, UK
Martin Fischer, Stanford University, USA
Thomas Froese, University of Victoria, Canada
David Gerber, University of Southern California, USA
Philipp Geyer, University of Hannover, Germany
Branco Glisic, Princeton University, USA
Mani Golparvar Fard, University of Illinois, USA
Carl Haas, University of Waterloo, Canada
Deitrich Hartmann, Ruhr-Universität Bochum, Germany
Timo Hartmann, TU Berlin, Germany
Shang-Hsien (Patrick) Hsieh, National Taiwan University, Taiwan
Jonas Jörin, ETHZ, SEC, CREATE, Singapore
Christian Koch, Bauhaus University Weimar, Germany
Chan Ghee Koh, National University of Singapore, Singapore
Markus König, Ruhr-Universität Bochum, Germany
Iva Kovacic, TU Vienna, Austria
Prakash Kripakaran, University of Exeter, UK
Kincho Law, Stanford University
Fernanda Leite, UT Austin, USA
Haijiang Li, Cardiff University, UK
Udo Meissner, TU Darmstadt, Germany
John Messner, Penn State University, USA
Hai Young Noh, Stanford University, USA
William O’Brien, UT Austin, USA
Stephanie Paal, Texas A&M University, USA
Pieter Pauwels, TU Eindhoven, Netherlands
Feniosky Pena-Mora, Columbia University, USA
Frank Petzold, TU Munich, Germany
Matteo Pozzi, Carnegie Mellon University, USA
Ernst Rank, TU Munich, Germany
Benny Raphael, IIT Madras, India
Raphael Sacks, Technion, Israel
Kristina Shea, ETH Zurich, Switzerland
Kay Smarsly, TU Hamburg, Germany
Lucio Soibelman, University of Southern California, USA
Daniel Straub, TU Munich, Germany
Georg Suter, TU Vienna, Austria
Ann Sychterz, University of Illinois Urbana-Champagne, USA
Jochen Teizer, TU Denmark
Walid Tinzani, University of Nottingham, UK
Xiangyu Wang, Curtin University in Perth, Australia
Nobuyoshi Yabuki, Osaka University, Japan
Justin Yeoh, National University of Singapore, Singapore
Local Committee
Ian Smith, TUM GNI
Katharina Langosch, TUM GNI
Sarah Mühlhaus, TUM GNI
Dafydd Cotoarbă, TUM GNI
José Quesada Allerhand, TUM GNI
Christos Chantzaras, Venture Lab BE
Tobias Förtsch, Venture Lab BE
Manuel Götzendörfer, BEFIVE
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.
Founded in 2021, the institute is funded through the generous donation by the Nemetschek Innovation Foundation.
Call for Papers
- Artificial intelligence
- Machine learning
- Data-centered engineering
- Explainable informatics
- Intelligent interfaces
- Advanced digital twins
- Industrial applications
- Context-based probability and risk analysis
- Design and testing of smart materials
- Advanced system identification
- Adaptive structures
- Robotics
- Innovation
- StartUps
- Entrepreneurship
- Value Chain
- Building Life Cycle
- E Infrastructure design and maintenance
- Digital fabrication
- Environment, social, and governance assessment
- Smart transportation infrastructure
- Pedestrian dynamics
- Damage detection
- Digital archiving
- Early design support
- Vision
- Decision support
- Sustainability & Circularity
- Digital Design
- Net Zero
- Sustainable Real Estate
- Smart Building
- ESG
Contributions are encouraged in fields such as:
- Artificial intelligence
- Machine learning
- Data-centered engineering
- Explainable informatics
- Intelligent interfaces
- Advanced digital twins
- Industrial applications
- Context-based probability and risk analysis
- Design and testing of smart materials
- Advanced system identification
- Adaptive structures
- Robotics
- Infrastructure design and maintenance
- Digital fabrication
- Environment, social, and governance assessment
- Smart transportation infrastructure
- Pedestrian dynamics
- Damage detection
- Digital archiving
- Early design support
- Vision
- Decision support
- Innovation
- StartUps
- Entrepreneurship
- Value Chain
- Building Life Cycle
- Sustainability & Circularity
- Digital Design
- Net Zero
- Sustainable Real Estate
- Smart Building
- ESG
Key Dates
Call for Abstracts: 5th January 2024
Abstract Deadline: 29th February 2024
Abstract Notification to Authors: 4th April 2024
Full Paper Deadline: 30th May 2024
Full Paper Notification to Authors: 4th July 2024
Revised Paper Deadline: 31st July 2024
Registration Invitation: 4th July 2024
Registration Deadline: 30th August 2024
Symposium: 10th – 12th September 2024
Keynote Speakers
Tba.
Venue
Welcome
Date: 10th September 2024, 9am
(there will be no welcome reception the night before)
Venue: Tba.
Address: Tba.
Directions: Tba.
Symposium
Date: 10th September 2024, 9am – 13th September 2024, 5pm
Venue: Tba.
Address: Tba.
Directions: Tba.
Symposium Dinner
Date: 11th September 2024
Venue: Tba.
Address: Tba.
Directions: Tba.
Getting around Munich
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.
Accomodation
Tba.
Explore Munich and Surroundings
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.
Program and Registration
The symposium will be held in Munich, September 10th – September 12th 2024.
Registration opens July 2024
(All times are in the CEST Timezone)
September 10th
The symposium will start with a welcome at 9am on the 10th September (there will be no welcome reception the night before).
Further information to be announced.
September 11th
The symposium dinner will be held on the evening of the 11th September.
Further information to be announced.
September 12th
Further information to be announced.
