Sunetra Nath | Economics | Best Researcher Award

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Mrs. Sunetra Nath | Economics | Best Researcher Award

Mrs. Sunetra Nath, Government Model Degree College Diblong, Dima Hasao, India

Sunetra Nath is an Assistant Professor in Economics at Government Model Degree College, Diblong, Assam. With expertise in Microeconomics, Development Economics, Mathematical Economics, and Advanced Econometrics, she has earned a reputation as a forward-thinking academic. Sunetra holds an M.A. in Economics and has cleared prestigious qualifications like NET and SLET. Her research interests span Development Economics, Gender Studies, Well-being Research, and Entrepreneurship, showcasing her commitment to addressing contemporary socioeconomic issues. Born on October 23, 1994, Sunetra’s contributions to academia include thought-provoking research on women empowerment and child well-being in India. Residing in Assam, she actively engages in academic discussions and is passionate about fostering critical thinking among her students.

Professional Profile

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Suitability for the Award

Educational Background & Specialization
Sunetra Nath holds an M.A. in Economics and has completed national eligibility tests (NET and SLET). Her specialization in areas such as microeconomics, development economics, mathematical economics, and advanced econometrics reflects a strong academic foundation that aligns with contemporary research in economics. This academic rigor is essential for the Best Researcher Award.

Research Interests
Nath’s research interests in development economics, gender studies, well-being research, and entrepreneurship demonstrate her commitment to addressing social and economic challenges. Her focus on development economics and gender studies is particularly notable, given its relevance in modern academic discourse and policy-making. This makes her an outstanding candidate for an award aimed at recognizing impactful research.

🎓 Education

Sunetra Nath has a strong academic foundation in Economics. She earned her M.A. in Economics, specializing in advanced topics like Microeconomics, Development Economics, Mathematical Economics, and Econometrics. Her dedication to academic excellence is further highlighted by her success in clearing the National Eligibility Test (NET) and the State-Level Eligibility Test (SLET), which qualify her as a distinguished educator. These accomplishments underscore her capability to critically analyze and address pressing socioeconomic issues. Sunetra’s education reflects a commitment to blending theoretical knowledge with practical applications, preparing her for impactful contributions to teaching and research.

💼 Professional Experience

Sunetra Nath has been serving as an Assistant Professor in Economics since August 1, 2024, at Government Model Degree College, Diblong, Assam. In this role, she teaches advanced courses in Microeconomics, Development Economics, Mathematical Economics, and Econometrics. She mentors students and fosters an environment that promotes intellectual growth and innovation. Beyond teaching, Sunetra actively engages in research on gender studies, well-being, and entrepreneurship, contributing to academic literature. Her professional journey is marked by her ability to integrate complex economic theories into practical, real-world contexts, empowering students to address contemporary issues.

🏅 Awards and Recognition

Sunetra Nath’s contributions to economics and academia have earned her recognition in both teaching and research domains. Her ability to connect advanced economic theories with societal challenges has led to awards for excellence in teaching and impactful research. Sunetra has been acknowledged for her thought-provoking publications on gender empowerment and child well-being, which have been widely cited and celebrated for their relevance. Her dedication to addressing real-world issues through research and teaching positions her as a role model in academia.

🌍 Research Skills On Economics

Sunetra Nath demonstrates exceptional research skills in Development Economics, Gender Studies, Well-being Research, and Entrepreneurship. She excels at synthesizing complex data, employing advanced econometric methods, and crafting evidence-based analyses. Her research is characterized by a strong focus on societal impact, as demonstrated in her publications on women empowerment and child well-being in India. Sunetra’s ability to approach issues with a capability-based framework ensures that her findings are both relevant and actionable.

📖 Publication Top Notes

  • Title: Does Women Empowerment Impact Child Well-being? Evidence from India
    Authors: Sunetra Nath, Gurudas Das
    Citation: Nath, S., & Das, G. (2025). Does women empowerment impact child well-being? Evidence from India. Social Science & Medicine, 2025, Article 117686. DOI: 10.1016/j.socscimed.2025.117686
  • Title: What determines women empowerment in India? A capability-based approach
    Authors: Sunetra Nath, Gurudas Das
    Citation: Nath, S., & Das, G. (2024). What determines women empowerment in India? A capability-based approach. Cogent Social Sciences, 2024, Article 2407026. DOI: 10.1080/23311886.2024.2407026

Mohammed Abu Alfoul | Econometrics | Best Researcher Award

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Dr. Mohammed Abu Alfoul | Econometrics | Best Researcher Award

Dr. Mohammed Abu Alfoul, Ezymart Corporation Pty Ltd, Australia

Dr. Mohammed Abu Alfoul is an accomplished economist and data scientist with a focus on digital and shadow economies, ICT’s role in economic growth, and economic modeling. With a Ph.D. in Economics from Swinburne University of Technology, his research spans ICT investment, governance, and their effects on MENA countries’ economic growth. He has gained practical experience through roles in data science and operations management at Ezy Mart Melbourne and Hi-Phone Telecom. Dr. Abu Alfoul’s passion for teaching is evident in his role as a lecturer at Edvantage Institute, where he actively contributes to course development and student engagement. A recipient of several prestigious awards, including the Hussein Prize for Economic Research, he has a strong record of publishing high-impact research. His technical expertise includes machine learning, data science, and statistical modeling, making him a well-rounded professional in both academia and industry.

Professional Profile

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Summary of Suitability for the ‘Research for Best Researcher Award’

Dr. Mohammed Abu Alfoul stands out as a highly accomplished and driven professional in the field of Economics and Data Science. His strong academic background, including a PhD in Economics from Swinburne University of Technology, coupled with his exceptional research contributions, makes him an excellent candidate for the ‘Research for Best Researcher Award.’ Dr. Abu Alfoul’s thesis on the effects of ICT investment on economic growth in MENA countries demonstrates his ability to address complex, contemporary economic issues using advanced data science methodologies.

🎓  Education 

Dr. Mohammed Abu Alfoul holds a Doctor of Philosophy (Ph.D.) in Economics from Swinburne University of Technology (2022), where his thesis explored the effects of ICT investment and usage on economic growth in MENA countries, with a focus on governance. He earned his Master’s in Economics from Yarmouk University, Jordan (2016), and a Bachelor’s degree in Computer Science from Al Balqa University, Jordan (2012). His educational background bridges economics and technology, enabling him to conduct research that merges economic theory with practical applications in data science and ICT. Throughout his academic journey, Dr. Abu Alfoul has consistently demonstrated excellence, securing scholarships and awards, including the International Scholarship Program for Ph.D. Students and the Hussein Prize for Economic Research. His academic pursuits are complemented by his deep technical expertise in machine learning, econometrics, and data visualization, furthering his research in digital economies.

💼 Professional Experience 

Dr. Mohammed Abu Alfoul has accumulated significant experience in both academia and the private sector. Since 2018, he has been an Area Operations Manager (Data Scientist) at Ezy Mart, Melbourne, where he specializes in identifying data sources, building machine learning algorithms, and processing unstructured data to drive business decisions. He also holds a lecturer position in economics at Edvantage Institute, Australia, where he delivers lectures, supports curriculum development, and mentors students in economics courses. Previously, Dr. Abu Alfoul worked as an Executive Account Manager at Hi-Phone Telecom in Jordan (2014-2018), where he was responsible for data collection, predictive modeling, and algorithm development. His role at Furqan Foundation (2010-2014) involved managing data systems and digitizing client information. These experiences have honed his skills in data science, economics, and project management, making him an expert in both practical and theoretical applications of data in economics.

🏅 Awards and Recognition

Dr. Mohammed Abu Alfoul has received numerous accolades for his contributions to economics and data science. He was awarded the prestigious Hussein Prize for Economic Research in 2022 and 2023, recognizing his groundbreaking research on the digital economy and economic growth in MENA countries. Additionally, he received the International Scholarship Program for Ph.D. students from Swinburne University of Technology, which supported his doctoral studies. Dr. Abu Alfoul’s achievements in the workplace have been acknowledged with the Ezymart Award for Operational Efficiency, Leadership, Innovation, and Data Science in 2023. His research contributions, particularly his published work on ICT investment and the shadow economy, have earned him a reputation as an expert in his field. His commitment to advancing economic research and education is further demonstrated by his active participation in academic conferences, seminars, and as a referee for prominent economic journals.

🌍 Research Skills 

Dr. Mohammed Abu Alfoul’s research skills are wide-ranging and advanced, particularly in the fields of econometrics, data science, and digital economics. He is proficient in using statistical and econometric tools such as Python, R, SQL, C#, E-Views, SPSS, LISREL, Stata, and Cisco for data analysis, modeling, and machine learning. His expertise includes structural equation modeling, probability theory, and stochastic processes, all of which are integral to his research on economic growth, ICT, and the shadow economy. He is skilled in multi-variable analysis, hypothesis testing, and spatial statistics, which he applies to analyze complex economic phenomena. Dr. Abu Alfoul is also adept at data visualization and communication, enabling him to present research findings in an accessible and impactful manner. His extensive background in both academic research and applied data science makes him a leader in his field, well-equipped to tackle complex economic questions with cutting-edge methodologies.

📖 Publication Top Notes

Title: The impact of COVID-19 pandemic on global stock markets: An event study

  • Authors: I Khatatbeh, M Bani Hani, MN Abu Alfoul
    Journal: International Journal of Economics and Business Administration, 8(4), 505-514
    Cited by: 84
    Year: 2020

Title: Waiting time of public transport passengers in Jordan: magnitude and cost

  • Authors: A Shtayat, M Abu Alfoul, S Moridpour, N Al-Hurr, K Magableh, …
    Journal: The Open Transportation Journal, 13, 227-235
    Cited by: 12
    Year: 2019

Title: Is there any financial Kuznets curve in Jordan? A structural time series analysis

  • Authors: IN Khatatbeh, W Al Salamat, MN Abu-Alfoul, JJ Jaber
    Journal: Cogent Economics & Finance, 10(1), 2061103
    Cited by: 9
    Year: 2022

Title: What Determines the Shadow Economy? An Extreme Bounds Analysis

  • Authors: MN Abu Alfoul, IN Khatatbeh, F Jamaani
    Journal: Sustainability, 14(10), 5761
    Cited by: 9
    Year: 2022

Title: The hidden economy in Jordan: A MIMIC approach

  • Authors: M Abu Alfoul, ZA Mishal, F Schneider, K Magableh, AR Alabdulraheem
    Journal: Cogent Economics & Finance, 10(1), 2031434
    Cited by: 8
    Year: 2022