Shital Saha | Best Researcher Award Winner 2023 🏆
Mr Shital Saha : Statistical Methods
Congratulations to Mr. Shital Saha, recipient of the Statistical Methods Best Researcher Award at the International Research Data Analysis Excellence Awards! Your dedication to advancing statistical methods is truly commendable, and this recognition is a testament to your outstanding contributions. Well done!
Professional profile:
Early Academic Pursuits:
I embarked on my academic journey in Patiram High School, West Bengal, excelling in subjects like Bengali, English, Mathematics, Physics, Chemistry, History, and Geography. This laid the foundation for my future educational endeavors.
In 2013, I pursued a Bachelor's degree from Balurghat College, specializing in Mathematics (Hons.), Physics, and Chemistry. Subsequently, I obtained a Master's degree in Mathematics from the University of Gour Banga in 2015, showcasing my commitment to the field.
Professional Endeavors:
Driven by a passion for education, I earned a B.Ed. degree in 2017 from the University of Gour Banga, specializing in Mathematics. This equipped me with the skills needed to contribute meaningfully to the field of education.
Currently, I am pursuing a Ph.D. in Statistics with a focus on Statistical Information Theory at the National Institute of Technology Rourkela, under the guidance of Prof. Suchandan Kayal.
Contributions and Research Focus:
My research, centered on Statistical Information Theory, explores diverse aspects. Notable publications include works on extended fractional cumulative past, paired φ-entropy measures, and weighted varentropy. Furthermore, my ongoing studies delve into informational characteristics of cubic transmuted distributions and general weighted information generating functions.
As a referee for Contemporary Mathematics, I actively engage in the scholarly community, contributing to the peer-review process.
Accolades and Recognition:
My academic achievements include qualifying JAM-2013 (AIR-658), CSIR-UGC NET (JRF) Dec. 2019 (AIR-221), and WBSET-2020. Additionally, I successfully cleared CTET (Paper I & II) in December 2019.
Impact and Influence:
My research, as evidenced by published and under-review papers, contributes valuable insights to the fields of physics and applied mathematics. Attendance at workshops and seminars underscores my commitment to staying abreast of emerging trends in statistical research.
Legacy and Future Contributions:
I am dedicated to leaving a lasting impact through my contributions to academia. My ongoing Ph.D. research and engagement as a referee indicate a commitment to the advancement of statistical knowledge.
In the future, I aspire to further enrich the field through continued research, teaching, and collaboration with peers and scholars globally. My legacy aims to inspire future generations in the pursuit of knowledge and excellence.
Notable publication :
- Saha, S. and Kayal, S. (2023). Extended fractional cumulative past and paired ɸ-entropy measures, Physica A: Statistical Mechanics and its Applications. 614, 128552.
- Saha, S. and Kayal, S. (2023). Weighted (residual) varentropy and its applications, Journal of Computational and Applied Mathematics. 442, 115710.
- Saha, S. and Kayal, S and Balakrishnan, N. Different informational characteristics of cubictrans muted distributions. (Under review on BJPS)
- Saha, S. and Kayal, S. General weighted information and relative information generating functions with properties. (Under review on IEEE Transactions on Information (Theory)
- Saha, S. and Kayal, S. Copula-based extropy measures, properties and dependence in bivariate distributions. (Communicated)
Citations:
A total of 83 citations for his publications, demonstrating the impact and recognition of his research within the academic community.