Mathematics, Computation and Geometry of Data
ISSN Print 2642-1909 ISSN Online 2642-1917
2 issues per year
David Xianfeng Gu (State University of New York, Stony Brook)
Yang Wang (Hong Kong University of Science and Technology)
Shing-Tung Yau (Harvard University)
Ronald Lok Ming Lui (Chinese University of Hong Kong)
Aims and ScopeCovers the development of mathematical foundations, modeling, and computational techniques related to data. Areas of interest include but are not limited to: machine learning, computer vision, data analytics and visualization, and the geometry of data.
With the explosion of data in everyday life, we have now entered the age of data and artificial intelligence. While rapid advances have been made in data science and AI, many daunting challenges remain ahead of us, especially in terms of the mathematical foundations of data science.
As the successor to the journal Geometry, Imaging and Computing, this new journal aims to be a premier hub for coverage of mathematical foundations, modeling, and computational techniques related to data. Its areas of interest include but are not limited to:
- machine learning
- computer vision
- data analytics and visualization
- geometry of data
New in 2022.
2 issues per year.