Dr. Awadhesh K. Pandey

Dr. Pandey received a Ph.D. in Statistics from the esteemed Indian Institute of Technology (ISM), Dhanbad in 2021. Throughout his academic journey, he has encountered numerous transformative experiences that have shaped his knowledge and expertise in the realm of Statistics. It addresses the problem of estimating the population parameters in the presence and absence of missing observations in sample surveys under various sampling schemes. He has had the privilege to engage in diverse research projects, enabling him to acquire invaluable skills in data analysis and statistical modelling. Also, he has published several research papers in reputed international journals, presented papers at conferences, and received expert constructive criticism and valuable feedback which enhance his growth in the field of computational statistics.

Before joining School of Business, UPES Dehradun, Dr. Pandey worked as an Assistant Professor of Statistics at School of Physical Sciences, DIT University Dehradun. Besides, this he was the Research Coordinator at DIT University, Dehradun.

He also worked on DST-sponsored projects as Project Fellow at DST-CIMS, BHU Varanasi, and IIT (ISM), Dhanbad.

Computational Statistics I Survey Sampling I Biostatistics I Statistical Inference

As a professor of Statistics, Dr. Pandey’s teaching philosophy revolves around fostering a supportive and engaging learning environment that empowers students to develop a deep understanding of statistical concepts and their practical applications. He believes that effective teaching goes beyond simply imparting knowledge; it involves inspiring and motivating students to become critical thinkers and lifelong learners in the field of Statistics.

In my classroom, he strives to create an inclusive and collaborative atmosphere where students feel comfortable asking questions, sharing their ideas, and engaging in discussions. He encourages active participation and seeks to ignite curiosity by relating statistical concepts to real-world examples and practical scenarios by connecting theory with application. His aim is to demonstrate the relevance and importance of Statistics in various domains, such as science, business, and social sciences.

He believes in employing a variety of teaching methods and resources to cater to diverse learning styles. Recognizing that every student is unique and brings their own strengths and challenges, he is dedicated to providing individualized support and guidance. Ultimately, his goal as a professor of Statistics is to instill in students a solid foundation of statistical principles, analytical thinking skills, and a passion for continuous learning. He aspires to prepare them to confidently tackle real-world problems, make informed decisions based on data, and contribute meaningfully to the ever-evolving field of Statistics.

Dr. Pandey teaches the papers such as Business Statistics, Operations Research, Quantitative Techniques, Research Methodology and Report Writing, Mathematical Statistics, Business Research Methods, Probability and Statistics, Statistical Inference, Sampling Theory, Design of Experiments, etc. which are crucial subjects for undergraduate and postgraduate students and also fruitful for research students in developing the strong foundation of the problem, critical thinking skills, and the ability to apply the gained knowledge in real-world business scenarios/applications.

Dr. Pandey received financial support from Govt. of India during PhD program.

Member of Society of Applied Mathematics, IIT (ISM), Dhanbad.

IIT (ISM)-JRF fellowship for Ph.D. degree.

IIT (ISM)-SRF fellowship for Ph.D. degree.

Dr Pandey has published several research papers. Some recent publications are as given below:

• Jaiswal, A. K., Singh, G. N. and Pandey, A. K. (2022). Improved procedures for mean estimation under non-response. Alexandria Engineering Journal, 61(12), 12813-12828. [Indexed in SCIE, Q1 Category/Web of Science)]
• Pandey, A. K., Singh, G. N., Bhattacharyya, D., Ali, A. Q., Al-Thubaiti, S. and Yakout, H. A. (2021). Some Classes of Logarithmic-Type Imputation Techniques for Handling Missing Data. Computational Intelligence and Neuroscience, 2021, ISSN: 1687-5273 (Online), DOI:https://doi.org/ 1155/2021/8593261. [Indexed in SCIE, Q1 Category/Web of Science)], Dec 2021.
• Pandey, A. K., Usman, M. and Singh, G. N. (2021). Optimality of ratio and regression type estimators using dual of auxiliary variable under nonresponse. Alexandria Engineering Journal, 60(5), 4461-4471. [Indexed in SCIE, Q1 Category/Web of Science)]
• Pandey, A. K., Singh, G. N., Sayed-Ahmed, N. and Abu-Zinadah, H. (2021). Improved estimators for mean estimation in presence of missing information. Alexandria Engineering Journal, 60(6), 5977-5990. [Indexed in SCIE, Q1 Category/Web of Science)]
• Singh, G. N., Jaiswal, A. K. and Pandey, A. K. (2021). Improved imputation methods for missing data in two-occasion successive sampling. Communications in Statistics-Theory and Methods, 1-20. [Indexed in SCI-E, Q3 Category/Web of Science)]
• Singh, G. N., Pandey, A. K. and Khetan, M. (2020). Generalized Estimation Procedure in Two-Occasion Rotation Patterns. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 1-9. [SCIE, Q3 indexed, WoS]

awadheshk.pandey@ddn.upes.ac.in