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EMI 2026 International Conference – MINISYMPOSIUM Call For Abstract

MS TITLE: MACHINE LEARNING TECHNIQUES FOR STRUCTURAL MECHANICS

Venue: Naples, Italy

Course Dates:  2–4 September 2026

Dear Colleagues,

We would like to invite you and your group to submit an abstract to our mini-symposium at the EMI 2026 International Conference (Napoli, Italy; September 2–4, 2026):

Machine Learning Techniques for Structural Mechanics

Abstract submission opens on January 8, 2026 (deadline: February 28, 2026). 

Acceptance notifications are expected on April 16, 2026, and the author registration deadline is June 12, 2026.

The mini-symposium will convene researchers working at the interface of machine learning and structural mechanics, with emphasis on data-driven methods, structural health monitoring, digital twins, probabilistic mechanics, and rigorously validated applications for civil and architectural structures.

This mini-symposium is organized in collaboration with ML Academy (https://www.mlacademy.net/).

Please find the attached flyer and feel free to circulate it within your network.

Kind regards,

C. Demartino (Roma Tre University, Italy) — cristoforo.demartino@uniroma3.it

G. Quaranta (Sapienza University of Rome, Italy) — giuseppe.quaranta@uniroma1.it

M.M. Rosso (Politecnico di Torino, Italy) — marco.rosso@polito.it

M. Broccardo (University of Trento, Italy) — marco.broccardo@unitn.it

G. Quinci (Roma Tre University, Italy) — gianluca.quinci@uniroma3.it

I. Venanzi (University of Perugia, Italy) — ilaria.venanzi@unipg.it

Mini-symposium organizers 

First International ML Academy Doctoral Course and Summer School

Introduction to Machine Learning for Civil Engineering and Architecture

In Conjunction with ARTISTE 2025 Conference

Venue: Politecnico di Torino University, Turin, Italy

Course Dates: 18–20 September 2025

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Machine Learning Academy – ML Academy

Date: August 2025

We’re excited to announce the launch of ML Academy, an international platform empowering civil engineers and architects with cutting-edge Machine Learning and AI skills.

Join expert-led courses, engage in real-world projects, and connect with a global community dedicated to innovation and sustainable design.

Revolutionizing the Built Environment with AI: The Future Starts Here!