Mr. Soumya Chakraborty

Mr. Soumya Chakraborty

Position Assistant Professor (Stage 1) in WBES
Department Statistics
Specialization Robust Statistics, Multivariate Analysis, Statistical Computing

Education

Degree Field of Study Institution Year
B.Stat (Hons.) Statistics Indian Statistical Institute, Kolkata 2016
M. Stat. Statistics Indian Statistical Institute, Kolkata 2018
Ph.D (Ongoing) Statistics Indian Statistical Institute, Kolkata 2026

Contact Information

  • chak.soumya95@gmail.com

Teaching Experience

  • Since 2022

Colleges served

  • Bethune College :2022 - Till Date

Research Interests

  • Robust Statistics, Multivariate Analysis, High Dimensional Methods, Machine Learning (Clustering, Classification, Anomaly Detection), Image Processing, Statistical Computing.

Teaching Responsibilities

  • Statistical Courses: Descriptive Statistics, Probability Theory, Multivariate Analysis, Linear Models, Parametric Inference, Nonparametric Inference, Monte Carlo Methods, Statistical Quality Control. Advised 9 UG Semester VI students in their compulsory project work so far.
  • Mathematical Courses: Real Analysis, Linear Algebra.
  • Computational Courses: C Programming, R Programming.
     

Publications

Journals

  • Basu, A., Chakraborty, S., Ghosh, A., & Pardo, L. (2022). Robust density power divergence-based tests in multivariate analysis: A comparative overview of different approaches. Journal of Multivariate Analysis, 188, 104846. https://doi.org/10.1016/j.jmva.2021.104846
  • Chakraborty, S., Basu, A., & Ghosh, A. (2023). Robust clustering with normal mixture models: A pseudo β-likelihood approach. Econometrics and Statistics, Special Issue on Robustness Dedicated to Elvezio Ronchetti and Peter Rousseeuw. https://doi.org/10.1016/j.ecosta.2023.10.004
  • Halder, P., Alwani, A. A., Nongkynrih, B., Chakraborty, S., & Krishnan, A. (2025). Rural-urban disparities in tobacco use among middle aged and elderly Indian adults: a multivariate decomposition analysis. BMC Public Health, 25(1), 2818. https://doi.org/10.1186/s12889-025-23937-0
  • Chakraborty, S., Basu, A., & Ghosh, A. (2025). A Componentwise Estimation Procedure for Multivariate Location and Scatter: Robustness, Efficiency and Scalability. Journal of Multivariate Analysis, 105546. (Volume 212, to appear in March, 2026). https://doi.org/10.1016/j.jmva.2025.105546
     

Conferences / Seminar Paper & Poster Presentation Details

  • Poster Presentation (online mode), titled "Robust Clustering with Normal Mixture Models: A Pseudo β-Likelihood Approach" at ISI-ISM-ISSAS Joint Conference, 2022, Tokyo, Japan.
  • Paper Presentation (online mode), titled "A Comparative Review of some Robust Tests of Hypothesis based on Density Power Divergence" at the VI International Scientific and Practical Conference "Statistics and its Applications, 2022", Namangan, Uzbekistan.
  • Presentation titled, "Robust Estimation of Multivariate Location and Scale via Divergence Minimization and its Applications in Machine Learning" as invited speaker in the weekly seminar (October 3, 2023) at the Applied Statistics Unit, Indian Statistical Institute, Kolkata.
  • Poster Presentation, titled "On One-Step Minimization of the Density Power Divergence" at ISI-ISM-ISSAS Joint Conference 2023, Kolkata, India.
  • Paper Presentation, titled "A New Componentwise Robust Estimation Procedure for Multivariate Location and Scatter" at the Eleventh International Calcutta Triennial Symposium, Department of Statistics, University of Calcutta, Kolkata, India.

Grants and Awards

  • INSPIRE Scholarship during 2013-2018 for securing position in the top one percentile in Higher Secondary Examination, issued by Department of Science and Technology, Government of India.
  • Indian Statistical Institute Junior Research Fellowship (JRF) during 2018-2020 for pursuing Ph.D.
  • Indian Statistical Institute Senior Research Fellowship (SRF) during 2020-2022 (prior to the joining in WBES) for pursuing Ph.D.

Professional Affiliation

  • Calcutta Statistical Association (Life member)
  • Indian Statistical Institute Alumni Association (Life member)