New Editorial Board membership
Bruno Sudret joins the Editorial Board of the “Journal of Machine Learning for Modeling and Computing”.
The Journal of Machine Learning for Modeling and Computing (JMLMC) was founded by Prof. Dongbin Xiu in 2020 together with the Begell House publisher, which also publishes the International Journal for Uncertainty Quantification since 2011.
JMLMC focuses on the study of machine learning methods for modeling and scientific computing. The scope of the journal includes research of the following types: (1) the use of machine learning techniques to model real-world problems such as physical systems, social sciences, biology, etc.; (2) the development of novel numerical strategies, in conjunction of machine learning methods, to facilitate practical computation; and (3) the fundamental mathematical and numerical analysis for understanding machine learning methods.