The 3rd International Conference on Data-Driven Computing and Machine Learning in Engineering 2023 will be held in Beijing during Jul. 23-25, 2023.
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 Zhu Hehua and Academician Timon Rabczuk (European Academy of Sciences) as its chairs. The 2nd DACOMA conference was successfully concluded in 2022 in Beijing, China. The conference will be hosted by Beijing Institute of Technology and the Chinese Society of Theoretical and Applied Mechanics, with Professor Chen Pengwan, Professor Liu Zhanli, and Professor Zhuang Xiaoying, prominent scholars in the field of computational mechanics, serving as the conference chairs. This year's conference will continue to focus on machine learning-related topics.

Important Dates
  • 30th June 2023:
    Deadline for abstract
  • 7th July 2023:
    Notification of abstract acceptance
  • 14th July 2023:
    Camera-ready submission
Beijing Institute of Technology Library (BITL), originally known as Yan’an Academy of Natural Sciences Library, was established in 1940. It presently consists of Zhongguancun campus library, Xu Teli library (located in Liangxiang campus and named after the BIT’s prestigious former president) and four professional branches covering disciplines from machinery and vehicle engineering, science, humanities to law, with a total floor area of 46,000 square meters.
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