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The emerging application of machine learning and big data analysis has fundamentally influenced and changed our way of how we think, plan, solve and analyze in engineering. The International Conference on Data Driven Computing and Machine Learning in Engineering (DACOMA-19) will be held September 9 — September 11, 2019, at Sino-French Center, Tongji University, Shanghai, China. The program chairs will be Prof. Timon Rabczuk (Bauhaus University, Germany) and Prof. Hehua Zhu (Tongji University, China). DACOMA-19 aims at promoting research and application in big data technology, data driving computing and artificial intelligence in engineering, as well as promoting interdisciplinary exchanges among scientists, practitioners, and engineers. DACOMA-19 will have a diverse technical track, poster sessions, plenary lectures, and programs.
DACOMA-19 welcomes submissions on mainstream data drive computing and machine learning topics as well as novel interdisciplinary works in related areas. The accepted abstracts will be included in the ISTP. Optional submission of full papers from the excellent abstracts will be considered for special issue in CMC (Computers, Materials & Continua, IF=3.024), CMES (Computer Modelling in Engineering and Sciences, IF=0.796) and FSCE (Frontiers of Structural and Civil Engineering, IF=1.272).