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Dr. Kalaivani S.

Assistant Professor, Department of Mathematics, School of Physical Sciences, Coimbatore

Qualification: M. Sc., Ph. D.
s_kalaivani@cb.amrita.edu
Google Scholar Profile
Scopus Author ID
Research Interest: Robust Statistics, Regression Analysis, Statistical Modelling

Bio

Dr. Kalaivani S currently serves as an Assistant Professor in the Department of Mathematics, Amrita School of Physical Sciences, Coimbatore Campus. She received her Ph.D. in Statistics from Bharathiar University, Coimbatore, in 2024. She is a First Rank Holder (Gold Medalist) in her M.Sc. Statistics program.

She previously worked in the Department of Mathematics, Sri Krishna Arts and Science College, Coimbatore (May 2017 – March 2018), and in the Department of Statistics and Data Science, CHRIST (Deemed to be University), Bangalore (June 2024 – October 2025).

Education

PhD Thesis Title: Contributions to Enhance Precision of Support Vector Regression with Robust Weight Function.

She completed her PhD in 2024.

Publications

Book Chapter

Year : 2025

A New Approach to Robust Weighted Support Vector Regression and Its Applications in Medical MRI Image Processing

Cite this Research Publication : R. Muthukrishnan, S. Kalaivani, A New Approach to Robust Weighted Support Vector Regression and Its Applications in Medical MRI Image Processing, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2025, https://doi.org/10.1007/978-981-96-4883-2_29

Publisher : Springer Nature Singapore

Journal Article

Year : 2025

A Significant Study on Robust Measure of Location Parameters Using Data Depth Approaches

Cite this Research Publication : Dr. Kalaivani S. , A Significant Study on Robust Measure of Location Parameters Using Data Depth Approaches 2025

Year : 2023

A Precise Performance of Robust Weighted Support Vector Regression Approach under Various Kernels

Cite this Research Publication : A Precise Performance of Robust Weighted Support Vector Regression Approach under Various Kernels Muthukrishnan R. and Kalaivani S , 2023

Year : 2023

Robust Weighted Support Vector Regression Approach for Predictive Modeling

Cite this Research Publication : , R Muthukrishnan, S Kalaivani, Robust Weighted Support Vector Regression Approach for Predictive Modeling, Indian Journal Of Science And Technology, Indian Society for Education and Environment, 2023, https://doi.org/10.17485/ijst/v16i30.1180

Publisher : Indian Society for Education and Environment

Year : 2022

Data depth approach in fitting linear regression models

Cite this Research Publication : Muthukrishnan R, Kalaivani S, Data depth approach in fitting linear regression models, Materials Today: Proceedings, Elsevier BV, 2022, https://doi.org/10.1016/j.matpr.2021.12.321

Publisher : Elsevier BV

Invited Talk
  1. Served as a “Session Chair” in the International conference on Statistical Theory and Application for Trends (STAT), organized by St. Joseph’s University Bangalore on 18-19 July 2025.
  2. Resource person for the Online Webinar on the topic “Mastering Regression in R: Classical and Robust Approaches”, organized by CHRIST (Nodal Office), Trivandrum on 22 February, 2025.
  3. Invited talk entitled “Enhancing Regression Analysis: A comparative study of Classical and Robust Techniques” at the Tenth International Conference on Statistics for the Twenty-First Century (ICSTC 2024) conducted by the University of Kerala on 14 December, 2024.
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