Yadawananda Neog | Environment economics | Young Researcher Award

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Dr. Yadawananda Neog | Environment economics | Young Researcher Award

Assistant Professor at BITS PIlani, K.K. Birla Goa Campus, India.

Dr. Yadawananda Neog is an Assistant Professor in the Department of Economics & Finance at BITS Pilani, K.K. Birla Goa Campus. Born in April 1992, he is a dynamic scholar with a PhD in Economics from Banaras Hindu University. His research focuses on public finance, development economics, and applied econometrics. He has published extensively in Scopus and ABDC-ranked journals and has been awarded both UGC-JRF and SRF. With a strong background in fiscal policy and taxation, Dr. Neog brings empirical insight and methodological rigor to pressing economic issues. He combines academic excellence with a passion for policy-oriented research, making him a rising figure in Indian economics and an inspiring mentor to the next generation of economists.

Professional Profile

Education

Dr. Yadawananda Neog holds a PhD in Economics from Banaras Hindu University (2016–2021), where his doctoral thesis examined the nexus between taxation and economic growth in India under the supervision of Dr. Achal Kumar Gaur. He earned his Master’s degree in Economics with specialization in Econometrics from the same university (2013–2015), graduating with first division. His undergraduate studies were completed at Gauhati University, India, in Economics (Honours), also with first division (2010–2013). In addition to his formal education, Dr. Neog qualified for the University Grants Commission’s prestigious National Eligibility Test (NET), and received both Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF), establishing his early promise as a researcher and educator in economic science.

Professional Experience

Currently serving as an Assistant Professor at the Department of Economics & Finance, BITS Pilani, K.K. Birla Goa Campus, Dr. Yadawananda Neog combines research, teaching, and mentorship with precision and purpose. He joined the institute after completing his doctoral studies, where he also held research fellowships supported by the University Grants Commission (UGC). His academic duties include delivering advanced courses in economics and econometrics, guiding student research projects, and contributing to curriculum development. As a young faculty member, he actively engages in research collaborations and participates in national and international conferences. His work integrates theoretical and empirical methods, addressing pressing macroeconomic issues in India and globally. His teaching and research experience position him as a promising academic leader.

Research Skills

Dr. Yadawananda Neog’s research primarily focuses on public finance, taxation, development economics, institutional economics, and applied econometrics. His doctoral work explored the intricate relationship between tax structures and economic growth in India using advanced econometric models like ARDL and simultaneous equation modeling. He applies robust quantitative techniques to assess fiscal policies and their macroeconomic implications. Recently, his interest has extended into energy economics, analyzing sustainability and public policy frameworks. His publications address issues such as fiscal efficiency across Indian states and the causal effects of government expenditure on economic growth. With a blend of empirical depth and policy relevance, Dr. Neog’s research contributes to evidence-based economic policymaking in India and other emerging economies.

Awards and Honors

Dr. Yadawananda Neog has received significant recognition for his academic excellence. He was awarded the Junior Research Fellowship (JRF) by the University Grants Commission (UGC) for the period of June 2017 to May 2019, followed by the prestigious Senior Research Fellowship (SRF) until January 2021 during his PhD at Banaras Hindu University. These competitive fellowships highlight his potential and dedication to rigorous research. Additionally, he qualified for the UGC-NET for Lectureship, affirming his eligibility and competence in higher education. His publications in internationally recognized, peer-reviewed journals further reflect his growing impact in the field of economics. These honors collectively position him as a notable early-career scholar deserving of further recognition through awards and academic opportunities.

Conclusion

In conclusion, Dr. Yadawananda Neog demonstrates all the hallmarks of an outstanding young researcher: academic merit, research impact, and promise for future contributions. His work is particularly timely and relevant, addressing key challenges in public finance and development economics. He has successfully translated complex econometric modeling into findings that can influence fiscal policy and institutional reforms. His dedication to academic excellence and his publication record in reputed journals underscore his growing influence in the field. By encouraging interdisciplinary collaborations and international exposure, Dr. Neog’s career could further accelerate. The Young Researcher Award would not only honor his past achievements but also serve as a catalyst for continued innovation and leadership in economic research

Publications Top Notes

📊 Tax structure and economic growth: A study of selected Indian states
📅 Year: 2020 | 📚 Cited by: 124

🌍 Nexus among CO2 emissions, remittances, and financial development: a NARDL approach for India
📅 Year: 2020 | 📚 Cited by: 122

📈 Effects of the COVID-19 pandemic on stock market returns and volatilities: evidence from selected emerging economies
📅 Year: 2022 | 📚 Cited by: 105

💥 Contagion effect of COVID‐19 outbreak: Another recipe for disaster on Indian economy
📅 Year: 2020 | 📚 Cited by: 100

🕵️ Shadow economy, corruption, and tax performance: A study of BRICS
📅 Year: 2020 | 📚 Cited by: 33

 

Mehdi Hasan Rafi | Weather & Atmosphere | Best Researcher Award

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Mr. Mehdi Hasan Rafi | Weather & Atmosphere | Best Researcher Award

PhD Scholar of Full-Time Ph.D. Researcher, Bangladesh.

Mehdi Hasan Rafi is a distinguished researcher with notable expertise in geospatial data analysis and weather forecasting. His recent accolade, the Best Paper Award at the 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT), highlights his significant contributions to the field. Rafi is proficient in programming languages like Python, R, and MATLAB, and excels in data manipulation, visualization, and mining, utilizing advanced techniques in machine learning and deep learning. His research, including journal publications and conference presentations, demonstrates a strong impact on atmospheric studies and ionospheric research. Currently serving as a Senior Executive in Research & Development at FIFOTech, he combines practical industry experience with his academic background. Despite his impressive achievements, expanding his research scope and increasing public engagement could further enhance his impact. Rafi’s strong technical skills and recognized contributions make him a compelling candidate for the Research for Best Researcher Award.

Profile
Education

Mehdi Hasan Rafi’s educational journey reflects a strong foundation in electrical and electronic engineering. He completed his Bachelor of Science (B.Sc.) in Electrical and Electronic Engineering from Daffodil International University (DIU) in 2014, where he earned a CGPA of 3.46 out of 4.00. His academic excellence continued with a Master of Science (M.Sc.) degree in the same field from Military Institute of Science and Technology (MIST) in 2023, achieving a CGPA of 3.08 out of 4.00. Rafi’s early education includes a robust science background, having completed his Higher Secondary Certificate (HSC) and Secondary School Certificate (SSC) from Khulna Government Model School & College and Saint Joseph’s High School, respectively. His strong academic performance, underscored by high GPAs, laid the groundwork for his research and professional achievements in atmospheric data analysis and geospatial research.

Professional Experience

Mehdi Hasan Rafi brings a wealth of experience in atmospheric research and data analysis. Currently, he serves as a Senior Executive in Research & Development at FIFOTech, where he leads market and industry research, manages projects, and develops innovative strategies. His role involves analyzing data, preparing reports, and representing the company at industry conferences. Previously, Rafi was a co-investigator at Frederick University, Cyprus, focusing on atmospheric research projects, including the Rate of Total Electron Content Index (ROTI) of the ionosphere. His academic background includes degrees in Electrical and Electronic Engineering from Military Institute of Science and Technology (MIST) and Daffodil International University, with a notable track record in geospatial data analysis, programming, and machine learning. His work is recognized through prestigious awards, including the Best Paper Award at the 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT).

Research Interest

Mehdi Hasan Rafi’s research interests are centered around atmospheric sciences and geospatial data analysis, with a particular focus on ionospheric studies and weather forecasting. His work involves utilizing advanced programming languages such as Python, R, and MATLAB to manipulate and analyze large datasets, employing machine learning and deep learning techniques to extract meaningful insights. Rafi is skilled in data mapping using GIS technologies and has conducted significant research on the Rate of Total Electron Content Index (ROTI) of the ionosphere, exploring variations in electron density over European and North American sectors. His research also encompasses global lightning phenomena and time series modeling of lightning radiance, aiming to enhance the understanding of atmospheric processes. Rafi’s interdisciplinary approach and expertise in both theoretical and practical aspects of atmospheric research contribute to advancements in weather prediction and atmospheric data interpretation.

Research Skills

Mehdi Hasan Rafi demonstrates a robust set of research skills, particularly in the domain of geospatial data analysis and atmospheric research. He excels in programming languages such as Python, R, and MATLAB, which are integral to his work in manipulating and analyzing complex datasets. His proficiency extends to data visualization, mapping, and mining, where he employs GIS techniques to extract meaningful insights from vast data sources. Rafi’s expertise in machine learning and deep learning, including Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), further enhances his capability to develop advanced analytical models. His research on ionospheric phenomena and lightning detection showcases his ability to handle intricate data sets, identify trends, and contribute valuable findings to the field. Rafi’s skills in integrating diverse data sources and utilizing cutting-edge analytical methods underscore his strong research acumen and innovative approach to addressing atmospheric challenges.

Awards and Recognition

Mehdi Hasan Rafi has garnered notable awards and recognition for his significant contributions to the field of atmospheric research. In May 2024, he received the prestigious Best Paper Award (First Prize) at the 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT) for his outstanding research. His academic excellence was further acknowledged with the Dr. Aminul Islam Scholarship, awarded by Daffodil International University in January 2018. Rafi’s research has been published in esteemed journals, including the Journal of Geophysical Research: Atmospheres and Atmosphere, showcasing his impact in the field. His contributions extend to various conferences, where he has presented his work, further establishing his reputation in the scientific community. These accolades reflect his commitment to advancing atmospheric research and highlight his role as a leading researcher in his area of expertise.

Conclusion

Mehdi Hasan Rafi is a strong candidate for the Research for Best Researcher Award due to his significant contributions to atmospheric research, technical skills, and industry experience. His accomplishments in data analysis and programming, coupled with his recognized awards and publications, make him a standout nominee. Addressing areas for improvement, such as increasing public engagement and exploring broader research areas, could further strengthen his profile and impact in the research community.

Publications Top Notes

  1. Evaluation of Detection Efficiency of World Wide Lightning Location Network in Southeast Asian Region
    • Authors: M.H. Rafi, R.H. Holzworth, M.G. Mostafa
    • Year: 2024
  2. Correlation of Rate of TEC Index and Spread F over European Ionosondes
    • Authors: K.S. Paul, M.H. Rafi, H. Haralambous, M.G. Mostafa
    • Year: 2024
  3. Space-Based Investigation of the Topside Ionosphere over Bangladesh Including IRI Predictions
    • Authors: N. Fatima, N. Salsabil, M.H. Rafi, M.G. Mostafa
    • Year: 2024
  4. Investigation of Ionospheric Diurnal Double Maxima over Bangladesh
    • Authors: J.F. Preeti, R. Amreen, M.H. Rafi, M.G. Mostafa
    • Year: 2024
  5. Examining the Consistency Between Quality-Assured Radio Occultation Data in Bangladesh and IRI Predictions
    • Authors: S.S. Mahmood, A.H. Shawon, M.H. Rafi, M.G. Mostafa
    • Year: 2024
  6. Time Series Models for Radiated Electromagnetic Energy of Lightning Strokes Detected by World Wide Lightning Location Network
    • Authors: M.H. Rafi, G. Mostafa
    • Year: 2023
  7. Global Lightning Phenomena and Time Series Model of Lightning Flash Radiance
    • Authors: M.H. Rafi, M.G. Mostafa
    • Year: 2022
    • Citations: 1