Professor at UNC Greensboro, United States
Dr. Sat Narain Gupta, a Professor of Statistics at the University of North Carolina at Greensboro, is a distinguished researcher specializing in sampling techniques, time series analysis, and biostatistics. Holding dual Ph.D. degrees in Statistics and Mathematics, he has made significant contributions to statistical theory and interdisciplinary research. A Fellow of the American Statistical Association, he has received numerous accolades, including the UNCG Undergraduate Research Mentoring Award (2024) and the Lifetime Achievement Award from the India Association of Statistics and Reliability (2023). He has secured multiple NSF grants, led statistical research initiatives, and served as Editor-in-Chief for the Journal of Statistical Theory and Practice. With extensive academic leadership experience, including department head and graduate program director roles, he has also mentored students at various levels. His impact on statistical education, research, and professional service makes him a strong candidate for the Best Researcher Award, though continued large-scale funded research could further solidify his case.
Professional Profile
Education
Dr. Sat Narain Gupta holds dual Ph.D. degrees in Statistics and Mathematics, reflecting his deep expertise in theoretical and applied statistical research. He earned his Ph.D. in Statistics from a prestigious institution, where he specialized in advanced sampling techniques, time series analysis, and biostatistics. His second Ph.D. in Mathematics further strengthened his analytical foundation, allowing him to bridge the gap between statistical theory and mathematical applications. Throughout his academic journey, Dr. Gupta has pursued rigorous research, contributing significantly to statistical methodologies and interdisciplinary studies. His educational background has not only shaped his research but also positioned him as a respected mentor and educator. As a Professor of Statistics at the University of North Carolina at Greensboro, his advanced training continues to influence his teaching and mentoring, guiding students and researchers in statistical sciences. His dual expertise uniquely qualifies him for leading statistical research initiatives and educational advancements.
Professional Experience
Dr. Sat Narain Gupta is a distinguished Professor of Statistics at the University of North Carolina at Greensboro, where he has been instrumental in advancing statistical research and education. With a strong academic foundation in statistics and mathematics, he has extensive experience in teaching, mentoring, and developing innovative statistical methodologies. His professional career spans decades of contributions to theoretical and applied statistics, including sampling techniques, time series analysis, and biostatistics. Dr. Gupta has actively collaborated with researchers across disciplines, applying statistical models to solve complex real-world problems. He has also supervised numerous graduate students, guiding them in cutting-edge statistical research. Beyond academia, he has served as a consultant for various organizations, leveraging his expertise to enhance data-driven decision-making. His commitment to research, education, and interdisciplinary collaboration has solidified his reputation as a leading figure in statistical sciences, making significant contributions to both academia and industry.
Research Interest
Dr. Sat Narain Gupta’s research interests lie at the intersection of theoretical and applied statistics, focusing on areas such as sampling techniques, time series analysis, biostatistics, and statistical inference. He is particularly interested in developing innovative statistical methodologies that enhance data analysis across diverse fields, including healthcare, economics, and environmental sciences. His work delves into robust estimation techniques, predictive modeling, and the application of statistical algorithms to large and complex datasets. Dr. Gupta is also deeply engaged in interdisciplinary research, collaborating with experts from various domains to apply statistical tools for solving real-world challenges. His contributions have been widely recognized in academic circles, with numerous publications in high-impact journals. He continues to explore emerging trends in machine learning and data science, integrating statistical principles to improve model accuracy and reliability. Through his research, Dr. Gupta aims to advance statistical knowledge and its practical applications in decision-making processes.
Award and Honor
Dr. Sat Narain Gupta has received numerous awards and honors in recognition of his outstanding contributions to the field of statistics and data science. His accolades include prestigious research excellence awards, best paper awards in international conferences, and recognition from esteemed statistical organizations. He has been honored for his significant advancements in statistical methodologies, particularly in sampling techniques, time series analysis, and biostatistics. Dr. Gupta has also received fellowships from renowned academic institutions, acknowledging his dedication to innovative research and education. His contributions to interdisciplinary collaborations have earned him accolades from various scientific communities. In addition to his research achievements, he has been recognized for his mentorship and leadership in academia, guiding students and researchers toward excellence. Through his work, Dr. Gupta has made a lasting impact on the field, and his awards serve as a testament to his dedication, expertise, and influence in statistical research and applications.
Research Skill
Dr. Sat Narain Gupta possesses exceptional research skills in statistical analysis, data modeling, and computational techniques. His expertise spans diverse areas, including sampling methods, time series analysis, biostatistics, and predictive modeling. He is proficient in applying advanced statistical tools and programming languages such as R, Python, and SAS to analyze complex datasets. His strong analytical thinking enables him to develop innovative methodologies for real-world problems in various domains, including healthcare, finance, and environmental sciences. Dr. Gupta excels in designing rigorous research studies, interpreting data with precision, and deriving meaningful insights that contribute to scientific advancements. His ability to integrate theoretical knowledge with practical applications has led to numerous impactful publications and collaborations. Additionally, his expertise in statistical software and machine learning techniques enhances his ability to work on interdisciplinary projects. His research skills reflect his commitment to excellence, innovation, and the advancement of statistical science in modern applications.
Conclusion
Dr. Sat Narain Gupta is an outstanding candidate for the Best Researcher Award. His long-standing contributions to statistical research, mentorship, and leadership make him highly deserving. His fellowships, awards, and research funding demonstrate an exceptional career in advancing the field of statistics. While some areas like high-impact publications and industry collaborations could be further developed, his academic impact and leadership in statistical sciences are exemplary.
Publications Top Noted
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Title: Nurses’ presenteeism and its effects on self-reported quality of care and costs
Authors: SA Letvak, CJ Ruhm, SN Gupta
Year: 2012
Citations: 461
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Title: Estimation of sensitivity level of personal interview survey questions
Authors: S Gupta, B Gupta, S Singh
Year: 2002
Citations: 247
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Title: On improvement in estimating the population mean in simple random sampling
Authors: S Gupta, J Shabbir
Year: 2008
Citations: 204
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Title: Pressure ulcers: factors contributing to their development in the OR
Authors: D Engels, M Austin, L McNichol, J Fencl, S Gupta, H Kazi
Year: 2016
Citations: 166
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Title: Mean and sensitivity estimation in optional randomized response models
Authors: S Gupta, J Shabbir, S Sehra
Year: 2010
Citations: 138
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Title: On estimating finite population mean in simple and stratified random sampling
Authors: J Shabbir, S Gupta
Year: 2010
Citations: 105
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Title: Variance estimation in simple random sampling using auxiliary information
Authors: S Gupta, J Shabbir
Year: 2008
Citations: 100
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Title: Predictors of Student Success in Entry-Level Undergraduate Mathematics Courses
Authors: S Gupta, DE Harris, NM Carrier, P Caron
Year: 2006
Citations: 94
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Title: Estimation of the mean of a sensitive variable in the presence of auxiliary information
Authors: S Gupta, J Shabbir, R Sousa, P Corte-Real
Year: 2012
Citations: 89
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Title: Differences in health, productivity and quality of care in younger and older nurses
Authors: S Letvak, C Ruhm, S Gupta
Year: 2013
Citations: 88
