The 4th International Conference on Data-Driven Computing and Machine Learning in Engineering 2024 will be held in Nanjing during Oct. 12-14, 2024.
In the age of big data, machine learning technology has been effectively utilized in various fields such as image processing, genomics, engineering computing, macroeconomic forecasting, and medical diagnosis. However, despite its success, applying data-driven computing and machine learning in engineering analytics still presents several unresolved challenges. With the aim of promoting research and the application of big data analysis, data-driven computing, and artificial intelligence in engineering, as well as fostering scientific exchanges among scientists, practitioners and engineers from related disciplines, the International Conference on Data-Driven Computing and Machine Learning in Engineering (DACOMA) has been held annually since 2019. Due to the pandemic, the second DACOMA conference was postponed to 2022. The first DACOMA conference was held in 2019 in Shanghai, China and was organized by Tongji University, with renowned computational mechanics scholars Academician Hehua Zhu and Academician Timon Rabczuk (European Academy of Sciences) as its chairs. The 3rd DACOMA conference was successfully concluded in 2023 in Beijing, China.
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2024.0319Program Book Download Here!To be updated
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2024.0317DACOMA2024 - Prof. Klaus-Jürgen Bathe online presentation
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2024.0319第四届工程中的数据驱动计算和机器学习国际会议通知To be updated
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● 1.Image reconstruction of materials based on machine learning
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● 2.Constitutive models based on data-driven
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● 3.Solution of PDEs based on machine learning
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● 4.Design and optimization of big data
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● 5.Uncertainty analysis of geomechanical models
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● 6.Machine learning for material characterization
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● 7.Simulation techniques of data-driven
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● 8.Processing of high-performance data
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● 9.Data-driven technology in multiscale and multi-field simulations
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● 10.Visualization and visual analysis of multi-source data
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● 11.Data-driven techniques for continuous and discrete methods
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● 12.Dynamic data-driven computing
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● 13.Design of metamaterials and advanced materials based on machine learning
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To be updated:Deadline for final registration and payment
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To be updated:Reception
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To be updated:Day of the conference