Anup Kumar Sharma | Formulation Science | Best Researcher Award

Anup Kumar Sharma | Formulation Science | Best Researcher Award

Dr Anup Kumar Sharma, National Institute of Technology Raipur, India

Dr. Anup Kumar Sharma πŸŽ“ is a distinguished mathematician specializing in Sampling Theory and Operations Research. He earned his Ph.D. in Applied Mathematics from IIT(ISM) Dhanbad (2016) under Prof. G. N. Singh, focusing on alternative estimation procedures in sample surveys. He also holds an M.Phil. and M.Sc. in Mathematics and Computing. With extensive teaching experience, he has served as an Ad-Hoc Faculty at NIT Warangal and an Adjunct Assistant Professor at VNIT Nagpur. His expertise spans mathematical modeling, probability theory, and statistical methods. Passionate about research and education, Dr. Sharma continues to contribute to academia. πŸ“ŠπŸ“š

Publication Profile

Scopus

Education

Dr. Anup Kumar Sharma πŸŽ“ is a distinguished mathematician specializing in applied mathematics and statistics. He earned his Ph.D. (2016) from IIT(ISM)-Dhanbad, focusing on alternative estimation procedures in sample surveys under the guidance of Prof. G. N. Singh πŸ“Š. He also holds an M.Phil. (2011) in operations research, an M.Sc. (2010) in mathematical modeling, and a B.Sc. (2007) in mathematics honors. His academic journey began with an I.Sc. (2003) in PCM and matriculation (2001) from Jharkhand. With a passion for mathematical research and statistical methodologies, Dr. Sharma continues to contribute to the field with expertise and dedication. πŸ“–

Experience

Dr. Anup Kumar Sharma πŸŽ“ has extensive teaching experience in applied mathematics across esteemed institutions. He served as an Ad-Hoc Faculty at NIT Warangal (2017-2018), teaching subjects like Mathematics-I, II, IV and Statistical & Numerical Methods to B.Tech students πŸ“š. Prior to that, he was an Adjunct Assistant Professor at VNIT Nagpur (2016-2017), instructing both B.Tech and M.Tech students in Probability Theory, Statistical Methods, and Optimization Techniques πŸ“Š. His journey began as an Assistant Professor at Bengal College of Engineering and Technology (2011-2012), where he taught Mathematics and Numerical Methods to B.Tech and MCA students. βœ¨πŸ“–

Awards

Dr. Anup Kumar Sharma πŸŽ“ has demonstrated exceptional academic excellence throughout his journey. He qualified the All India ISM-Dhanbad M.Sc. Entrance Examination (2008), securing admission to one of India’s premier institutes. His dedication earned him the Merit Cum Means (MCM) Scholarship during his M.Sc. (2008-2010) πŸ“š. Continuing his academic pursuit, he also cleared the All India ISM-Dhanbad M.Phil. Entrance Examination (2011). His research potential was further recognized when he received the prestigious UGC Fellowship for pursuing a Ph.D. in Applied Mathematics (2012) πŸ“Š. Dr. Sharma’s achievements highlight his commitment to excellence in mathematical sciences. ✨

Research Focus

Dr. A. K. Sharma’s research primarily focuses on statistical sampling techniques πŸ“Š, particularly successive sampling, non-response handling, and variance estimation. His work delves into improving estimation procedures, imputation methods, and Bayesian inference for population studies. He has contributed extensively to survey sampling methods, censored data analysis, and reliability modeling πŸ”’, often applying his techniques to public health, quality control, and economic data. His expertise spans Bayesian modeling, hybrid censored data, and progressive sampling strategies. His research is widely published in high-impact journals, emphasizing robust estimation strategies and enhanced statistical modeling approaches for real-world data analysis πŸ“ˆ.

Publication Top Notes

Statistical inference and optimal plans for improved adaptive type-II progressive censored data following Kumaraswamy-G family of distributions

Swapnil Shinkar | Formulation Science | Best Researcher Award

Swapnil Shinkar | Formulation Science | Best Researcher Award

Mr Swapnil Shinkar, National Institute of Technology Raipur, India

Mr. Swapnil Shinkar is a dedicated statistician and academician pursuing his Ph.D. in Statistics from NIT Raipur. With extensive teaching and research experience, he has served as a Statistician Cum Assistant Professor in various medical institutions, currently at Shri Shankaracharya Institute of Medical Sciences, Bhilai. Proficient in statistical software like SPSS, R, and MINITAB, he specializes in data analysis and research methodology. His work includes publications on queuing models and simulation approaches. Certified in Six Sigma Green Belt and Data Science, he actively contributes to statistical research and medical education. πŸ“šπŸ“ˆ

Publication Profile

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Education

Mr. Swapnil Shinkar πŸŽ“ is currently pursuing a Ph.D. in Statistics from the National Institute of Technology, Raipur, with his thesis submission expected after August 2025. He has already earned a Ph.D. in Statistics from Rashtrasant Tukadoji Maharaj Nagpur University (Notification: January 2024). He completed his M.Sc. in Statistics (2010-2012) and B.Sc. in Statistics (2005-2008) with commendable scores. His academic journey began at Nashik Board, where he completed his H.S.C. and S.S.C. πŸ“Š Proficient in statistical software, he is skilled in SPSS, MINITAB, SyStat, R Programming, and MS Excel, making him a data-driven analytical expert. πŸ“ˆ

Experience

Mr. Swapnil Shinkar πŸŽ“ is a seasoned statistician and academician with extensive experience in teaching and research. He is currently serving as a Statistician Cum Assistant Professor in the Department of Community Medicine at Shri Shankaracharya Institute of Medical Sciences, Bhilai (since July 2024). Previously, he held similar roles at Vedantaa Institute of Medical Sciences, Symbiosis Medical College for Women, and Pt. J. N. M. Medical College, contributing significantly to medical research and education. His journey also includes a Junior Research Fellowship (SERB) at RTM Nagpur University and experience as a Contributory Lecturer, shaping future researchers. πŸ“ŠπŸ“š

Administrative Experience

Mr. Swapnil Shinkar πŸŽ“ has extensive administrative experience in the medical and academic sectors. He served as a Regulatory Officer at Vedantaa Institute of Medical Sciences, Palghar, from March 2023 to June 2024, ensuring compliance and governance. Previously, he held the role of Nodal Officer at the same institute from July 2017 to February 2019, managing key responsibilities. Additionally, he was In-charge of the Medical Record Department at Shri Shankaracharya Institute of Medical Sciences, Bhilai, from September 2016 to June 2017. His leadership and organizational skills have significantly contributed to institutional operations. πŸ₯πŸ“Š

Research Guidance

Mr. Swapnil Shinkar πŸŽ“ has extensive experience in research guidance, particularly in statistical analysis. In the non-medical domain, he has mentored over 30 Ph.D. candidates, providing expert statistical insights. In the medical field, he has guided 15 undergraduate project groups in research planning and statistical analysis. Additionally, he supports more than 100 postgraduate medical candidates annually, assisting them in data analysis and research methodology. His expertise in statistics plays a crucial role in shaping high-quality research across multiple disciplines, making him a sought-after mentor and advisor in academic and medical research. πŸ“ŠπŸ“š

Research Focus

Dr. Swapnil Shinkar’s research primarily focuses on public health epidemiology πŸ₯, community medicine 🌍, and infectious disease surveillance 🦠. His work spans hypertension prevalence among tribal populations, HIV risk factors, oral cancer screening, and COVID-19 studies. Additionally, he has contributed to biostatistics education, tuberculosis screening, and child development programs. His expertise extends to healthcare accessibility πŸš‘, disease prevention πŸ›‘, and health policy evaluation πŸ“Š. Through cross-sectional and longitudinal studies, he provides critical insights into health disparities and medical education πŸ“–. His multidisciplinary approach helps bridge the gap between epidemiology, healthcare interventions, and public health policies.

Publication Top Notes