ARTISTE.CHINA2026: 2nd International Conference on Artificial Intelligence Applications in Structural Engineering HAUT Zhengzhou, China, October 23-25, 2026 |
| Conference web page | https://artistechina26.haut.edu.cn |
| Submission link | https://easychair.org/conferences/?conf=artistechina2026 |
In 2025, the inaugural International Conference on Applications of Artificial Intelligence in Structural Engineering (ARTISTE2025) was successfully held at Politecnico di Torino in Italy, attracting in-depth participation from experts and scholars from leading universities worldwide. The conference garnered broad recognition from both the international academic and industrial communities, establishing a premier international platform for exchange at the intersection of structural engineering and artificial intelligence. To sustain the conference's international influence and further deepen global academic collaboration, technological innovation, and talent development in the intersection of structural engineering and artificial intelligence, the "Second International Conference on Applications of Artificial Intelligence in Structural Engineering and Machine Learning Summer School in Civil Engineering and Architecture," jointly initiated by Henan Institute of Technology and Politecnico di Torino, is planned for October 19-25, 2026, in Zhengzhou, China.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome.
- Abstract :Prepare a one-page Abstract, you can fine file template in Call for Papers & Submission | ARTISTE.CHINA26
- Full papers :(Optional) can be submitted until 30 Otc.2026
List of Topics
- Machine learning and deep learning for structural data
- Structural health monitoring (SHM) and data-driven diagnostics
- AI-assisted structural design and optimisation
- Generative AI and parametric/conceptual design
- Surrogate modelling, digital twins, and physics-informed learning
- Reliability, risk, and resilience under uncertainty
- Computer vision and sensing for infrastructure
- AI for sustainability, retrofitting, and the dual-carbon transition
Publication
ARTISTE.CHINA2026 proceedings will be published in ...
Contact
All questions about submissions should be emailed to artiste@haut.edu.cn
