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Dr. Majid Bagheri, a 2021 Ph.D. graduate of Missouri S&T, and his advisor, Dr. Joel Burken, chair of civil, architectural and environmental engineering, collaborated on a paper that was featured as a cover story in the Oct. 5 issue of Environmental Science and Technology. Another of Burken’s former students, Dr. Xingmao Ma, is also a co-author.
The paper explores the potential of machine learning to revolutionize data analysis and modeling in the environmental science and engineering field.
Bagheri and Burken were among researchers from 11 universities that collaborated on the paper. The lead author is Dr. Judy Zhang, the Frank H. Neff Professor at Case Western University.
“The goal of this article was to introduce machine learning ideas and tools to environmental scientists and engineers, and address best practices for machine learning,” says Zhang.