ArtIStE 2025 - first international conference of Artificial Intelligence in Structural Engineering

ArtIStE 2025 - first international conference of Artificial Intelligence in Structural Engineering

ArtIStE - Artificial Intelligence in Structural Engineering

AI-based solutions can often provide valuable alternatives nowadays for efficiently solving new demanding problems and challenges in the Structural Engineering field.

Therefore, the [ArtIStE Research Group] (https://artiste.polito.it/)* has been found by Prof. G.C. Marano to explore these new possibilities, in the direction of developing applications for future AI-based smart cities and smart infrastructures. Our research mission includes, but is not limited to, computational intelligence and soft computing methods, such as evolutionary and metaheuristic algorithms for coping structural optimization tasks, including also neural networks, fuzzy systems, expert feed-forward informed systems, and so on. Machine Learning (ML) methods such as classification, regression, and reinforcement learning, provide the possibility to develop new unseen data-driven approaches.

Image credit: Joris Visser (Unsplash) .

Speakers
Community
ArtIStE - Artificial Intelligence in Structural Engineering
ArtIStE - Artificial Intelligence in Structural Engineering

October 2025

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University of Sheffield
University of Perugia

Applications of Machine Learning in SHM

Pr Keith Worden
Keith Worden
University of Sheffield
Chaired by Ilaria Venanzi
Wednesday, October 29, 2025 2:00 PM (UTC)
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November 2025

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Polytechnic University of Turin

Digital Twins and their Impact Across Science, Technology and Society

Chaired by Marco Martino Rosso
Thursday, November 6, 2025 2:00 PM (UTC)
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Roma Tre University

Senseable Cities

Chaired by Cristoforo Demartino
Thursday, November 13, 2025 2:00 PM (UTC)
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Roma Tre University

AI-empowered Structural Health Monitoring for Civil Structures

Chaired by Gianluca Quinci
Friday, November 21, 2025 12:00 PM (UTC)
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Published seminars

Johns Hopkins University
University of Trento

Uncertainty Quantification & Scientific Machine Learning

Michael D. Shields, Johns Hopkins University
Chaired by Marco Broccardo, University of Trento
Brown University
Sapienza University of Rome

From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus?

George Karniadakis, Brown University
Chaired by Giuseppe Quaranta, Sapienza University of Rome
Princeton University
Polytechnic University of Turin

Learning to Design Lightweight Structures: Accelerating Form-Finding through Machine Learning and Differentiable Programming

Sigrid Adriaenssens, Princeton University
Chaired by Giuseppe Marano, Polytechnic University of Turin
University College London
Polytechnic University of Turin

Non-destructive bridge damage characterisation: from traditional approaches to novel ensemble learning

Stergios Mitoulis, University College London
Chaired by Giuseppe Marano, Polytechnic University of Turin
University of Perugia
Polytechnic University of Turin

Advancing SHM: Leveraging AI-Driven Algorithms to Integrate Multimodal Sensor Data, Models, and Structures at a Territorial Scale

Filippo Ubertini, University of Perugia
Chaired by Giuseppe Marano, Polytechnic University of Turin
Massachusetts Institute of Technology
Polytechnic University of Turin

AI Modeling of Expert Preferences in Freeform Structural Optimization

Josephine V. Carstensen, Massachusetts Institute of Technology
Chaired by Giuseppe Marano, Polytechnic University of Turin
Polytechnic University of Turin

Innovative Applications of AI in Built Structures

Mark P. Sarkisian, Skidmore, Owings & Merrill (SOM)
Chaired by Giuseppe Marano, Polytechnic University of Turin
City, University of London
Polytechnic University of Turin

Structural Design Codes with AI: From Safety Margins to Smart Design

Konstantinos Daniel Tsavdaridis, City, University of London
Chaired by Giuseppe Marano, Polytechnic University of Turin
Hong Kong Polytechnic University
Polytechnic University of Turin

Computer Vision-based Full-field Vibration Measurement of Large-scale Structures

Yong Xia, Hong Kong Polytechnic University
Chaired by Giuseppe Marano, Polytechnic University of Turin