Conference Topics

The topics of DACOMA-26 include but are not restricted to:

01

Engineering Symposium on Frontiers of AI-Empowered Civil Engineering

Organizers: Hehua Zhu, Xiaoying Zhuang

02

Data-Driven Computing and Simulation

Organizers: Yanping Lian, Heng Hu

03

Digital Twin Modeling and Uncertainty Design

Organizers: Peng Hao, Qi Tong, Xiangyun Long, Hao Yang

04

Data-Driven Engineering Applications

Organizers: Jian Xiong, Chengwei Fei

05

Data-Driven Constitutive Models

Organizers: Shan Tang, Bin Ding

06

Machine Learning-Based Solution for Partial Differential Equations

Organizers: Xiaoying Zhuang, Zhuojia Fu

07

Machine Learning-Based Metamaterials and Advanced Materials Design

Organizers: Qinglei Zeng, Xiang Li

08

Data-Driven Techniques in Multiscale and Multiphysics Simulations

Organizers: Huadong Yong, Jia Li

09

Data-Driven Techniques for Continuous and Discrete Methods

Organizers: Dan Huang, Yile Hu

10

Data-Driven Design and Optimization

Organizers: Hongling Ye, Zhi Sun

11

Visualization and Analysis of Multi-source Data

Organizers: Lei Wang, Jing Xie

12

Intelligent Methods for Engineering Systems

Organizers: Yufeng Huang, Hongwei Guo

13

AI for Design of Bio-inspired and Bioactive Metamaterials

Organizers: Hui Chen, Bin Li

14

Machine Learning Computing for Damage and Fracture Mechanics

Organizers: Yizheng Wang, Jinshuai Bai

15

Machine Learning for Inverse Problems and Uncertainty Quantification

Organizers: Xinquan Huang, Yuanyuan Li

16

Generative AI, LLM, and agentic AI for mechanics and engineering

Organizers: Haifei Zhan, Zheliang Wang

17

Data-Driven Computational Methods for Infrastructure Analysis under Uncertainty

Organizers: Yi Luo, Decheng Feng

18

Data-Driven Dynamics and Control

Organizers: Hongbin Fang, Shu Zhang

19

Physics-Aware Machine Learning for Reduced-Order Modeling

Organizers: Jinlong Fu, Dunhui Xiao