Dr. Kaushal Kumar Yadav

Conferences

• Yadav, K. K., Dash, S., Parsad, R., and Mandal, B.N. (2022). Constructions of three associate constant block sum PBIB designs. International Virtual Conference on Statistics and Data Science: Theory and Practice for Progress and Prosperity, organized jointly by the Department of Statistics, University College of Science, Osmania University, Hyderabad and Indian Society for Probability and Statistics.
• Yadav, K. K., Dash, S., Parsad, R., and Mandal, B.N. (2023). Designs for Two Level Factorial Experiments for estimation of specific factorial effects. International Conference on Statistics, Probability, Data Science and Related Areas, organized jointly by the Department of Statistics, Cochin University of Science and Technology & Indian Society for Probability and Statistics.
• Yadav, K. K., Dash, S., Mandal, B.N., and Parsad, R. (2023). Construction of Alpha– Resolvable and nearly Alpha– Resolvable BIB designs. International Conference on Statistics for Twenty-first Century, Organized by Department of Statistics, School of Physical and Mathematical Sciences, University of Kerala
• Yadav, K. K., Dash, S., Mandal, B.N., and Parsad, R. (2024). Construction of Balanced Semi-Latin Rectangles in block size two. 74th Annual Conference of Indian Society of Agricultural Statistics on Harnessing Statistics and Artificial Intelligence for Sustainable and Smart Agriculture Organized by Department of Agricultural Statistics, N.M. College of Agriculture, Navsari Agricultural University, Navsari, Gujarat.
• Yadav, K. K., Dash, S., Parsad, R., and Mandal, B.N. (2024). Construction methods for PBSLR designs with block size four. Eleventh International Triennial Calcutta Symposium on Probability & Statistics Organized by Department of Statistics, University of Calcutta & Calcutta Statistical Association.
• Yadav, K. K. (2025). Predicting Wheat Yield Using Random Forest and Support Vector Regression Approaches. National Seminar on “Progressive Agriculture-Viksit Bharat: Preparedness for Eastern Region” organized by ICAR Research Complex for Eastern Region, Patna in collaboration with Indian Society of Agronomy, BAU, Sabour.

Teaching

Courses/programmes:

• B.Sc., Elementary Mathematics, Introductory Mathematics, Statistical Methods
• M.Sc./ABM, Statistical Methods for Applied Sciences, Experimental Designs, Basic Sampling Techniques, Applied Regression Analysis, Data Analysis Using Statistical Packages, Information Technology in Agriculture, Computer Applications for Agri-Business
• Ph.D., Experimental Designs, Data Analysis Using Statistical Packages, Information Technology in Agriculture

Teaching Interest

• Agricultural Statistics, Mathematics, Computer Applications

Practice

Work Experience

• Working as Assistant Professor in GDGU.

Others

Professional Membership

• Society of Statistics, Computer and Applications
• Indian Society of Agricultural Statistics
• Society of Agricultural Research and Social Development
• Indian Society of Agriculture Science and Technology Research

Education

• B.Sc. (Agriculture), Institute of Agricultural Sciences, BHU, Varanasi-221005, 2019
• M.Sc. (Agricultural Statistics), ICAR- Indian Agricultural Research Institute, Pusa, New Delhi-110012, 2021
• Ph.D. (Agricultural Statistics), ICAR- Indian Agricultural Research Institute, Pusa, New Delhi-110012, 2025

Research Publications

• Yadav, K. K., Dash, S., Mandal, B. N., and Parsad, R. (2023). Row-Column Designs for Two Level Factorial Experiments. Journal of the Indian Society of Agricultural Statistics, 77(2), 233–236.
• Yadav, K. K., Dash, S., and Mandal, B. N. (2024). Constructions of three associate constant block-sum PBIB designs. Journal of Community Mobilization and Sustainable Development, 19(1), 143-148.
• Yadav, K. K., Dash, S., Mandal, B. N., and Parsad, R. (2024). Construction of Balanced Semi-Latin Rectangles in block size four: An Algorithmic Approach. Journal of Statistical Theory and Practice, 18(3), 29.
• Yadav, K. K., Dash, S., Parsad, R., Mandal, B. N., Kumar, A., and Kumar, M. (2024). Construction of Partially Balanced Semi-Latin Rectangles with Block Size 4. Journal of the Indian Society of Agricultural Statistics, 78(2), 115-123.
• Yadav, K. K., Dash, S., Kumar, A., Mandal, A., and Jat, S. L. (2024). Application of Semi-Latin rectangles designs in maize experiments. Maize Journal, 13(2), 124-127.
• Yadav, K. K., Dash, S., Parsad, R., Mandal, B. N., Kumar, A., and Kumar, M. (2025). Balanced and Partially Balanced Semi-Latin Rectangles with Block Size Two. Statistics and Applications.
• Yadav, K. K., Dash, S., and Kumar, A. (2025). Constructions of Balanced Semi-Latin Rectangles with Block Size Three. Journal of Community Mobilization and Sustainable Development,20(2), 421- 426.
• Yadav, K. K., Dash, S., Mandal, B. N., and Parsad, R. (2025). Construction of Partially Balanced Semi-Latin Rectangles in block size three. International Journal of Agricultural and Statistical Sciences, 21(1), 167-173.
• Yadav, K. K., Dash, S., and Singh, A. K. (2024). Construction of ?– Resolvable and nearly ?– Resolvable BIB designs. International Journal of Statistics and Applied Mathematics, 9(4), 152-155.
• Yadav, K. K., Singh, A. K., Varma, M., Verma, S., Kumar, P., and Sarkar, A. (2024). Designing of constant block sum PBIB designs for animal experiments. International Journal of Veterinary Sciences and Animal Husbandry, 9(4), 206-209.
• Yadav, K. K., Dash, S., and Singh, A. K. (2024). Constant block sum PBIB designs based on Tetrahedral and Cubical association schemes.  Bhartiya Krishi Anusandhan Patrika, 39(3-4), 328-332.
• Rawat, A., Dash, S., and Yadav, K. K. (2024). Two-level factorial designs in block size four. International Journal of Statistics and Applied Mathematics, 9(5), 1-4.
• Varma, M., Chaturvedi, N., Yadav, K. K., Chhalotre, R., Birla, L., Sarkar, A., and Patel, S. (2024). Predictive modeling of mineral content in rice grains: Insights from support vector and adaboost regression. International Journal of Advanced Biochemistry Research, 8(9), 250-253.
• Varma, M., Kumar A, P., Yadav, K. K., Verma, S., Kumar, P., and Singh, A. K. (2024). A comparison of random forest based models for agricultural crop yield prediction. International Journal of Research in Agronomy, 7(8), 817-820.
• Verma, S., Kumar, P., Yadav, K. K., Varma, M., and Singh, A. K. (2023). Rhotrix and its application in construction of balance incomplete block design. Journal of Statistics and Applied Mathematics, 8(8), 756-765.
• Kumar, A., Yadav, A., Yadav, K. K., Kumar, D., Varma, M., and Singh, A. K. (2024). Milk production function and resource use efficiency of selected dairy breeds in the central region of Bihar. International Journal of Agriculture Extension and Social Development, 7(9), 35-38.
• Kumar, P., Verma, S., Varma, M., Yadav, K. K., and Singh, A. K. (2024). Comparative analysis of time series forecasting: Traditional Statistical Approaches vs. Machine Learning Methods. International Journal of Agriculture Extension and Social Development, 7(9), 192-198.
• Kumar, D., Kumar, A., Kumar, A., and Yadav, K. K. (2024). An economic analysis of crop diversification in Jabalpur district of Madhya Pradesh. International Journal of Agriculture Extension and Social Development, 7(9), 870-873.
• Sarkar, A., Sahoo, P. M., Singh, A. K., Ahmad, T., Biswas, A., and Yadav, K. K. (2024). Comparison Between Separate and Combined Type Estimators for Estimating Total Number of In-milk Animals. International Journal of Agriculture, Environment and Biotechnology, 17(3), 601-607.
• Rawat, A., Dash, S., Parsad, R., and Yadav, K. K. (2025). Block Design for Two-Level Factorial Experiments in Block Size Four. Journal of the Indian Society of Agricultural Statistics, 78(3), 207–211.

Research Interest:

My research interests lie at the intersection of statistical methodology and its practical application in agriculture. I am particularly focused on the development of efficient experimental designs, resampling-based variance estimation techniques, and the application of advanced statistical tools in agricultural research. I am also interested in integrating statistical computing with real-world challenges by developing user-friendly R packages and web-based applications. My recent work includes the construction of semi-Latin rectangle-based experimental designs and the development of novel algorithms for balanced and partially balanced layouts. Moving forward, I aim to bridge the gap between statistical theory and practice through interdisciplinary collaborations, data-driven innovations, and technology-based solutions for enhancing decision-making in agricultural research and extension.

Books Publication

• Pioneering Approaches to Experimental Design and Forecasting
• Basic and Essential Statistics (Mastering Agricultural Statistics with Short Notes and Practice MCQs)