{"id":217,"date":"2024-11-27T10:30:23","date_gmt":"2024-11-27T10:30:23","guid":{"rendered":"https:\/\/artisteconference.polito.it\/?page_id=217"},"modified":"2025-09-13T09:44:43","modified_gmt":"2025-09-13T09:44:43","slug":"accepted-minisymposia-and-special-sessions","status":"publish","type":"page","link":"https:\/\/artisteconference.polito.it\/index.php\/home\/conference-program\/accepted-minisymposia-and-special-sessions\/","title":{"rendered":"Accepted Special Sessions"},"content":{"rendered":"\n
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SS01 – Probabilistic Digital Twins in Structural Health Monitoring<\/a><\/h3>\n\n\n\n

Pier Francesco Giordano, Luca Rosafalco, Matteo Torzoni <\/strong><\/p>\n\n\n\n

<\/div>\n\n\n\n

SS02 – Transfer learning for Structural Health Monitoring: innovations and applications<\/a><\/h3>\n\n\n\n

Valentina Giglioni, Jack Poole, Ilaria Venanzi, Keith Worden <\/strong><\/p>\n\n\n\n

<\/div>\n\n\n\n

SS03 – Machine Learning Techniques in Uncertainty Quantification in Structural Engineering<\/a><\/h3>\n\n\n\n

Subrata Chakraborty, Sudib Kumar Mishra <\/strong><\/p>\n\n\n\n

<\/div>\n\n\n\n

SS04 – Data-Driven and AI-Assisted Evaluation and Design of Cement-Based Materials and Structures for Environmental Sustainability<\/a><\/h3>\n\n\n\n

Jinjun Xu, Cristoforo Demartino, Marco Martino Rosso, Kai Wu, Yohchia Frank Chen<\/strong><\/p>\n\n\n\n

<\/div>\n\n\n\n

SS05 – Innovative AI approaches in Structural Optimization, Design and Control<\/a><\/h3>\n\n\n\n

Johnatan Melchiorre, Salvatore Sessa, Amedeo Manuello Bertetto, Francesco Marmo<\/strong><\/p>\n\n\n\n

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SS06 – Structural identification and knowledge transfer for civil engineering applications<\/a><\/h3>\n\n\n\n

Stefania Coccimiglio, Gaetano Miraglia, Eleonora Maria Tronci, Rosario Ceravolo<\/strong><\/p>\n\n\n\n

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SS07 – Emerging Applications of Large Language Models (LLMs) for Structural Engineering<\/a><\/h3>\n\n\n\n

Adriano Castangione, Giuseppe Carlo Marano<\/strong> (Technically sponsored by S.T.A. DATA srl<\/strong><\/a>) <\/p>\n\n\n\n

<\/div>\n\n\n\n

SS08 – Hybrid AI Strategies in Seismic Engineering: A Machine Learning Framework for Structural Systems<\/a><\/h3>\n\n\n\n

Farzin Kazemi, Neda Asgarkhani, Robert Jankowski<\/strong><\/p>\n\n\n\n

<\/div>\n\n\n\n

SS09 – Intelligent Non-destructive Testing and Evaluation for Structures<\/a><\/h3>\n\n\n\n

Songping Liu, Roman Maev, Zenghua Liu, Feifei Liu<\/strong><\/p>\n\n\n\n

<\/div>\n\n\n\n

SS10 – Artificial Intelligence Approaches for Seismic Risk Assessment and Mitigation of Structures<\/a><\/h3>\n\n\n\n

Guido Camata, Fabrizio Mollaioli, Giuseppe Quaranta<\/strong><\/p>\n\n\n\n

<\/div>\n\n\n\n

SS11 – Graphs for Structural Engineering<\/a><\/h3>\n\n\n\n

Daniel Brennan, Brennan Klein, Keith Worden<\/strong><\/p>\n\n\n\n

<\/div>\n\n\n\n

SS12 – AI-driven Transport Infrastructure Management: future of next smarter bridges and tunnels<\/a><\/h3>\n\n\n\n

Bernardino Chiaia, Giuseppe Carlo Marano, Andrea Benincasa<\/strong> (Technically sponsored by Nemesis Ingegneria Srl<\/a><\/strong>) – Submission only upon invitation.<\/p>\n\n\n\n

<\/div>\n\n\n\n

SS13 – ML-Enabled Conceptual Structural Design<\/a><\/h3>\n\n\n\n

Kam-Ming Mark Tam, Pierluigi D\u2019Acunto, Robert K. Otani<\/strong><\/p>\n\n\n\n

<\/div>\n\n\n\n

SS14 – Smart Engineering for Circular Steel Structures: AI and Evolutionary Algorithms for Sustainable Design<\/a><\/h3>\n\n\n\n

Alper Kanyilmaz, Raffaele Cucuzza, Francesco Esposito, Konstantinos Tsavdaridis, Gian Andrea Rassati, Elena Mele<\/strong><\/p>\n\n\n\n

<\/div>\n\n\n\n

SS15 – Integrated Architectural and Structural Design through AI-Guided Generative Processes and Bio-Inspired Optimization<\/a><\/h3>\n\n\n\n

Laura Sardone<\/strong>, Giuseppe Fallacara<\/strong><\/p>\n\n\n\n

<\/div>\n\n\n\n

<\/p>\n\n\n\n

<\/div>\n","protected":false},"excerpt":{"rendered":"

SS01 – Probabilistic Digital Twins in Structural Health Monitoring Pier Francesco Giordano, Luca Rosafalco, Matteo Torzoni SS02 – Transfer learning for Structural Health Monitoring: innovations and applications Valentina Giglioni, Jack Poole, Ilaria Venanzi, Keith Worden SS03 – Machine Learning Techniques in Uncertainty Quantification in Structural Engineering Subrata Chakraborty, Sudib Kumar Mishra SS04 – Data-Driven and […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":446,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-217","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/artisteconference.polito.it\/index.php\/wp-json\/wp\/v2\/pages\/217","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/artisteconference.polito.it\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/artisteconference.polito.it\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/artisteconference.polito.it\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/artisteconference.polito.it\/index.php\/wp-json\/wp\/v2\/comments?post=217"}],"version-history":[{"count":33,"href":"https:\/\/artisteconference.polito.it\/index.php\/wp-json\/wp\/v2\/pages\/217\/revisions"}],"predecessor-version":[{"id":1248,"href":"https:\/\/artisteconference.polito.it\/index.php\/wp-json\/wp\/v2\/pages\/217\/revisions\/1248"}],"up":[{"embeddable":true,"href":"https:\/\/artisteconference.polito.it\/index.php\/wp-json\/wp\/v2\/pages\/446"}],"wp:attachment":[{"href":"https:\/\/artisteconference.polito.it\/index.php\/wp-json\/wp\/v2\/media?parent=217"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}