Research field (2)：
Mathematical analysis
, Applied mathematics and statistics
Research keywords (4)：
random matrices
, curse of dimensionality
, dimension reduction techniques
, statistical machine learning
Research theme for competitive and other funds (1)：
2019 - 2023 Combining Random Projections with Statistical Learning Algorithms: A Theoretical Analysis
Papers (3)：
Benoît Collins, Sushma Kumari, Vladimir Pestov. Universal consistency of the $k$-NN rule in metric spaces and Nagata dimension. ESAIM: Probability and Statistics. 2020
Sushma Kumari. Finiteness of inverse moments of (m,n,β)-Laguerre matrices. Infinite Dimensional Analysis, Quantum Probability and Related Topics. 2018. 21. 03. 1850022-1850022
Sushma Kumari, Balasubramaniam Jayaram. Measuring Concentration of Distances-An Effective and Efficient Empirical Index. IEEE Transactions on Knowledge and Data Engineering. 2017. 29. 2. 373-386
Education (3)：
2015 - 2018 Kyoto University, Graduate School of Science, Department of Mathematics, Ph.D.
2013 - 2015 Indian Institute of Technology Hyderabad, Department of Mathematics, M.Sc.
2010 - 2013 University of Delhi, Miranda House, Department of Mathematics, B.Sc. (H)
Work history (2)：
2018/10 - 現在 Musashino University Faculty of Engineering Department of Mathematical Engineering Assistant Professor
2015/10 - 2018/09 Kyoto University Graduate School of Science Division of Mathematics Doctoral student
