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Prof. Rabindra Nath Das

 

Prof. Rabindra Nath Das

The University of Burdwan, India

Abstract Title:

Biography:

Rabindra Nath Das is a Professor in the Department of Statistics, The University of Burdwan, Burdwan, West Bengal, India. He holds a Ph. D., in Statistics, from The University of Burdwan, India, and Post-Doc from Seoul National University, Seoul, Korea. He has authored more than 165 research articles, and along with a research Monograph entitled- Robust Response Surfaces, Regression, and Positive Data Analyses, published from CRC Press, Taylor & Francis, Chapman & Hall. He wrote research articles on DOE, Applied Statistics, Quality & Civil Engineering, Epidemiology, Medical sciences, etc. His special area of interest is on DOE, Regression analysis, Quality Engineering and Epidemiology. He has received Gopal Kanji Prize 2009 by The Journal of Applied Statistics and Routledge publications for the best article published in volume 36(7), pp. 755-767. He has received certi?cate of appreciation for outstanding research by the Editor-In-Chief, Journal of Thyroid Science, given in the Journal Website, for the paper Vol. 6, No. 2, pp. 1-15. He is acting as Editor, Associate Editor, Executive Editor, Editorial Board Member of more than 135 Journals in Statistics, Physical Sciences, Medical Sciences. He has acted as a Research Professor in 2018-2019 (for six months) & 2019 (for three months) in Data Science for Knowledge Creation Research Center, Statistics Department, Seoul National University, South Korea. He has been awarded Shiksharatna Award 2021 by the Govt. of West Bengal, and he has been selected as Ajou Global Fellow (AGF) by Euiho Suh, Ph.D. VP & Chair, UEMC, AJOU University, South Korea. He is acting as the Editor-In-Chief of many Journals.

Research Interest:

Theoretical Statistics: 1. Response Surface Design of Experiments (Rotatability & Slope-rotatability); 2. Block Design of Experiments; 3. Regression Analysis; 4. Demography; 5. Quality Engineering; 6. Generalized Linear Models (GLMs) and joint GLMs Applied Statistics: 7. Quality & reliability improvement experiments; 8. Civil Engineering; 9. Environmental Science; 10. Genetics; 11. Hydrogeology; 12. Bio-statistics; 13. Medical Sciences; 14. History; 15. Epidemiology on Thyroid disease Liver disease, Diabetes, Carcinoma, Cardiovascular disease, etc.