Dr. Prayas Sharma
Indian Institute of Management Sirmaur, National Rail and Transportation Institute, Banaras Hindu University, University of Petroleum and Energy Studies
About
Dr. Prayas Sharma is currently working as Assistant Professor in the Department of Statistics, Babasaheb Bhimrao Ambedkar University, Lucknow. Dr. Sharma holds a Bachelor’s degree in Computer Science & Statistics, Masters and Doctorate degree in Statistics from Banaras Hindu University, Varanasi, India. He has qualified National Eligibility Test and obtained the Junior and Senior research fellowship from UGC, India. Dr. Sharma is certified Virtual Teacher by University of California, Irvine. Dr. Sharma has good knowledge of Statistics, Artificial Intelligence and Machine Learning, Business Analytics & Research Methodology along with strong computational & programming skills.
He has more than 10 years of academic experience, both in the domain of teaching and research. He has worked earlier with reputed Institutes / Universities like Indian Institute of Management Sirmaur, Gati Shakti University (National Rail and Transportation Institute) Vadodara and University of Petroleum and Energy Studies (UPES), Dehradun. His research interest includes Survey Sampling, Estimation Procedures using Auxiliary Information and Measurement Errors, Predictive Modelling, Business Analytics and Operations Research. Dr. Sharma has published more than 50 research papers in reputed National & International journals along with one book and two chapters in book internationally published. He has more than 900 citations with H-Index 18 & I index of 24.
Dr. Sharma has a keen interest in reading, writing and publishing, he is serving 7 reputed journals as editor / associate editor and more than 30 journals as reviewer and reviewed more than 150 research papers from the journals like Communication in Statistics (T&F), Journal of Statistical Theory and Practice (T&F), Heliyon, Scientific Reports, Clinical Epidemiology and Global Health (Elsevier), Applied Economics, Hacettepe Journal of Mathematics and Statistics, Statistics in Transition, International Journal of Applied and computational Mathematics (Springer), International Journal of Productivity and Performance Management (Emerald), Benchmarking (Emerald), Pakistan Journal of Statistics and Operation Research to name a few.
Dr. Sharma has attended more than 30 Conferences / Seminars / Workshops / FDPs and organized three at national level. Dr. Sharma has delivered more than 15 invited talks on the topics related to Statistics, Operations Research, Research Methodology and AI&M.
Business Analytics and Machine Learning etc. at different Institutes / Universities. He has also conducted training sessions for executives from Aviation, Medical and Energy sectors- IOCL, HPCL etc. Dr. Sharma received awards & prizes for his meaningful contribution and dedication towards research and development, which includes International Travel Award by Uttarakhand State council for Science & Technology (UCOST), an outstanding reviewer award, best researcher award and research reward from Honourable Vice Chancellor of UPES.
At UPES, Dr. Sharma played an important role in stablishing the Business Analytics both at master and bachelor level and served as Coordinator of MBA (Business Analytics) and BBA (Analytics & Big Data)
He is an accomplished individual with a passion for learning and a desire to make a difference in the world. In his free time, he enjoy listening to music, exploring new places, and spending time with family and friends.
Employment
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Indian Institute of Management Sirmaur Assistant Professor2021 - 2023
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National Rail and Transportation Institute Assistant Professor2021 - 2021
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University of Petroleum and Energy Studies Assistant Professor2015 - 2021
Education
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Banaras Hindu University D.Phil.2011 - 2015
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Banaras Hindu University M.Sc. (Statistics)2009 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (56)
- A novel generalized class of trigonometric estimators for population mean estimation using auxiliary information: Theory, simulation, and real-data evidence Save
- On the performance of new extended EWMA estimators for population mean: a Monte Carlo simulation approach Save
- Harnessing qualitative data for precision in population mean estimation in time-scaled surveys Save
- Application to Air Quality Index Data: Extended EWMA-Based Variance Estimator Save
- Handling Time-Dependent Variability in Sampling Theory Save
- Enhanced estimation of population mean via exponential-type estimator using dual auxiliary inputs Save
- Estimation of population variance using EWMA in simple random sampling Save
- Balancing accuracy and cost: a new estimator for stratified random sampling Save
- Advancing Stratified Sampling: Optimized Mean Estimation via Linear Cost Structures Save
- Optimizing supply chain of aviation arm of defence service: harnessing predictive analytics for enhanced spare forecasting accuracy Save