Divyanee Garg | Economics, Econometrics and Finance | Best Researcher Award

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Ms. Divyanee Garg | Economics, Econometrics and Finance | Best Researcher Award

Indian Institute of Technology, Delhi | India

Ms. Divyanee Garg is a mathematician specializing in Portfolio Optimization, Behavioural Finance, Robust Portfolio Optimization, and Data-Driven Financial Techniques. Her research focuses on developing innovative mathematical and computational frameworks for decision-making under uncertainty, combining advanced risk measures such as Expectile Value at Risk (EVaR) and Conditional Value at Risk (CVaR) with behavioral finance models. She has contributed significant work on robust portfolio optimization using deep neural networks, integrating data-driven approaches to enhance traditional financial modeling. Ms. Divyanee Garg has published in high-impact journals, including Computational and Applied Mathematics and Omega, addressing deviation measures, robust allocation strategies, and cumulative prospect theory-based indexing, reflecting her strong influence in the field. She has presented her research at international conferences, including the 34th European Conference on Operational Research (EURO 2025, UK) and the ORSI Annual Convention 2024 (IIT Bombay), as well as symposia at IIT Roorkee and ISI Delhi, demonstrating active engagement with the global research community. Her notable projects include the development of optimality and duality conditions for semi-infinite programming problems and numerical improvements to Gauss-Chebyshev quadrature rules, both highlighting her analytical rigor and methodological innovation. Recognized for her academic excellence, she is a recipient of the Prime Minister’s Research Fellowship (PMRF) and the INSPIRE Scholarship from the DST, India. Ms. Divyanee Garg actively contributes to workshops and summer schools on large-scale optimization and machine learning applications in finance, combining theoretical depth with practical relevance. Her research exemplifies the integration of mathematical rigor, computational innovation, and applied financial insight, positioning her as a leading young researcher in quantitative finance and optimization.

Profiles: Google Scholar | ORCID | ResearchGate | LinkedIn | Staff Profile

Featured Publications

Cynthia Tabet | Economics, Econometrics and Finance | Best Researcher Award

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Dr. Cynthia Tabet | Economics, Econometrics and Finance | Best Researcher Award

Paris Saclay University | France

Dr. Cynthia Tabet is a dynamic economist and researcher whose scholarly contributions bridge applied econometrics, international finance, and development economics. Her research centers on the complex interactions between monetary policy, inflation dynamics, remittance flows, and institutional quality in both advanced and emerging economies. With a strong foundation in quantitative and qualitative methods, her work employs econometric modeling and statistical analysis to examine the macroeconomic determinants of growth and financial stability. Dr. Cynthia Tabet’s studies have explored how remittance transfers influence economic development, exchange rates, and productivity, particularly in the context of the Eurozone and the MENA region. Her recent publication in Computational Economics on the relationship between money supply, inflation, and growth demonstrates her ability to merge theoretical and empirical approaches to address contemporary policy challenges. Beyond her research, she contributes to the academic community through peer reviewing, interdisciplinary collaboration, and participation in international economic research networks. Her academic vision integrates data-driven insight with institutional analysis, aiming to inform more adaptive and inclusive economic policy frameworks. Through her ongoing projects on inflation targeting, economic policy uncertainty, and sustainable finance, Dr. Cynthia Tabet continues to advance the understanding of macroeconomic resilience and financial development in global and regional contexts. Her research embodies a commitment to excellence, analytical rigor, and social relevance, establishing her as an influential voice in the evolving field of applied economics.

Profile: Scopus

Featured Publications

  • Tabet, C., Chakchouk, F., & Tabet, C. (2025). Money supply, inflation and economic growth: the case of the Eurozone (1990–2022). Computational Economics. https://doi.org/10.1007/s10614-025-11125-6

  • Tabet, C., Rocca, M., & El Murr, B. (2022). Transferts de fonds et effet boomerang : le cas du Liban (1990–2016). Région et Développement, 55.

  • Tabet, C., Rocca, M., & El Murr, B. (2021). Transferts de fonds et syndrome hollandais : le cas du Liban (1984–2016). Mondes en Développement, 49(194), 29–57.

  • Tabet, C., & Makhlouf, F. (2025). Are remittances affected by economic policy uncertainty? Submitted to Economics and Statistics.

  • Tabet, C., Rocca, M., & Vallet, G. (2025). Inflation, economic growth and institutions: a comparative approach (1990–2021). Submitted to Journal of Comparative Economics.

Sayed Mohibul Hossen | Economics, Econometrics and Finance | Best Researcher Award

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Prof. Dr. Sayed Mohibul Hossen | Economics, Econometrics and Finance | Best Researcher Award

Mawlana Bhashani Science and Technology University | Bangladesh

Dr. Sayed Mohibul Hossen, Professor of Statistics at Mawlana Bhashani Science and Technology University (MBSTU), Tangail, Bangladesh, is a distinguished scholar whose work bridges theoretical econometrics and applied statistical forecasting for climate, tourism, and economic sustainability. Holding a Ph.D. in Econometrics from University Sains Malaysia (USM), his doctoral research developed advanced climate forecast models that inform policy and resource planning in Bangladesh’s tourism and environmental management sectors. Over the past decade, Dr. Sayed Mohibul Hossen has published six indexed research papers in internationally recognized journals, including GeoJournal of Tourism and Geosites, Applied Fruit Science, and the Journal of Public Affairs. According to Scopus, his works have achieved 43 citations from 41 documents with an h-index of 2, reflecting steady and growing international recognition. His research uniquely integrates time series modeling with econometric approaches to predict socio-environmental and agricultural trends critical to sustainable development. Beyond his research excellence, Dr. Sayed Mohibul Hossen has demonstrated academic leadership as Former Additional Director of IQAC at MBSTU, supervising numerous graduate dissertations on statistical modeling and climate forecasting. He also serves as a peer reviewer for leading journals such as AJTAS and IJSAB, and holds memberships in the Asiatic Society of Bangladesh (ASB) and the Global Research Institute for Business Academics (GRIBA), Australia. Registered under ORCID, Dr. Sayed Mohibul Hossen’s scientific impact, editorial engagement, and commitment to academic excellence make him a deserving candidate for the Best Researcher Award, recognizing his innovative and sustainable contributions to the advancement of statistical and econometric sciences.

Profile: Scopus | Google Scholar | ORCID | ResearchGate | LinkedIn

Featured Publications

  1. Polas, M. R. H., Raju, V., Hossen, S. M., Karim, A. M., & Tabash, M. I. (2022). Customer’s revisit intention: Empirical evidence on Gen‐Z from Bangladesh towards halal restaurants. Journal of Public Affairs, 22(3), e2572. https://doi.org/10.1002/pa.2572

  2. Hossen, S. M., Hossain, M. T., Rana, M. M., & Ismail, M. T. (2019). Employees’ satisfaction of government organization in Tangail City, Bangladesh. International Business Research, 12(2), 15–20. https://doi.org/10.5539/ibr.v12n2p15

  3. Aktar, S., Islam, M., & Hossen, S. (2012). Human resource management practices and firms performance in Bangladesh: An empirical study on pharmaceutical industry. Asian Business Review, 1(1), 121–125.

  4. Hossen, S. M. (2012). Statistical analysis of current guava production and its prospect in Bangladesh. Asian Business Review, 1(1), 9–14.

  5. Hossen, S. M., Ismail, M. T., & Tabash, M. I. (2021). The impact of seasonality in temperature forecast on tourist arrivals in Bangladesh: An empirical evidence. GeoJournal of Tourism and Geosites, 34(1), 20–27. https://doi.org/10.30892/gtg.34103-634

Xinxin Wang | Econometrics and Finance | Best Researcher Award

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Dr. Xinxin Wang | Econometrics and Finance | Best Researcher Award

Shandong University | China

Dr. Xinxin Wang is a dedicated and aspiring researcher currently pursuing a Ph.D. in Economics at the School of Economics, Shandong University 🎓. She previously earned her Master’s degree in Finance from Central China Normal University. Her academic journey is marked by a keen interest in technological innovation, capital markets, risk management, and economic transition. With a strong publication record and active contributions to scholarly debates, Xinxin is committed to advancing economic research and policy reform in emerging markets.

Professional profile👤

ORCID

Scopus

Strengths for the Awards✨

  • Strong Academic Foundation: Xinxin Wang has a solid academic background, holding a master’s degree in finance and currently pursuing a Ph.D. in economics—indicating ongoing commitment to scholarly advancement.

  • Robust Research Output: With six peer-reviewed publications in reputable international journals (SCI and Scopus indexed), the candidate has demonstrated consistent research productivity. These works span a wide array of high-impact topics including:

    • Technological innovation

    • Risk management

    • Capital markets

    • Economic reform and transitions

  • Interdisciplinary and Applied Focus: Xinxin’s work merges economics with quantitative and computational methodologies, such as machine learning, skew-normal distributions, and kernel density estimation—showcasing a forward-looking and data-driven approach to economic research.

  • Policy and Industry Relevance: The research on foreign institutional ownership and corporate innovation directly supports policymaking and enterprise reform, particularly in the context of China’s mixed-ownership economy.

  • Innovation in Methodology: The use of advanced econometric and statistical techniques in finance and economics (e.g., copula methods, multi-model machine learning forecasting) reflects methodological innovation, a key criterion for this award.

📚 Education

Dr. Xinxin Wang began her academic career by earning a Master’s degree in Finance from Central China Normal University. 📘 She later advanced to doctoral studies in Economics at Shandong University, where she continues to develop her expertise in applied economic research. Her educational background has provided her with a robust foundation in financial theory, econometrics, and strategic policy research, enabling her to address complex issues in both domestic and global economic contexts.

💼 Experience

Throughout her academic career, Xinxin Wang has engaged in diverse research projects spanning economic transition, financial risk management, and technological innovation. 🔍 Her hands-on involvement in empirical research has enabled her to contribute meaningful insights into both theoretical models and practical policy implications. She has also collaborated with interdisciplinary teams, using advanced quantitative methods and machine learning tools to explore dynamic economic phenomena. Her experience reflects a balanced combination of analytical rigor and real-world applicability.

🔬 Research Interests On Econometrics and Finance

Xinxin’s research is primarily focused on the reform of state-owned enterprises (SOEs) and technological innovation in emerging economies. 🏭💡 She is particularly interested in understanding how ownership structures—such as private versus state-held enterprises—influence innovation outputs and governance mechanisms. Additionally, she explores how financial instruments and risk management strategies can be optimized using advanced statistical and machine learning methods to support economic growth and stability.

🏆 Awards

Although still early in her research career, Xinxin Wang has demonstrated exceptional potential and scholarly contribution across interdisciplinary fields. Her impactful studies on risk management and institutional ownership in emerging markets position her as a strong contender for the Best Researcher Award 🏅. Her ongoing doctoral research continues to shape perspectives on innovation, governance, and policy reform in the Chinese economic landscape.

📄 Publications

Xinxin Wang has published six peer-reviewed research papers in renowned journals, cited for their innovation and analytical depth. Her publication record spans topics from machine learning in finance to exchange rate risk hedging:

  1. Foreign institutional ownership and corporate innovation in emerging economies – Journal of Evolutionary Economics, 2025. Cited by 12 articles.

  2. RMB exchange rate forecasting using machine learning methods: Can multi-model select powerful predictors? – 2024, Vol. 43(3), pp. 644–660. Cited by 9 articles.

  3. The effects of skewness on hedging decisions: An application of the skew-normal distribution in WTI and Brent futures – Economic Research-Ekonomska Istraživanja, 2021, Vol. 35(1), pp. 3099–3118.  Cited by 15 articles.

  4. Optimal futures hedging strategies based on an improved kernel density estimation method – Soft Computing, 2021, Vol. 25(23), pp. 14769–14783.  Cited by 10 articles.

  5. Methanol futures hedging with skewed normal distribution by copula method – International Journal of Computer Mathematics, 2020, Vol. 98(7), pp. 1327–1348.  Cited by 8 articles.

  6. Hedging the exchange rate risk for international portfolios – Mathematics and Computers in Simulation, 2020, Vol. 173, pp. 85–104.  Cited by 14 articles.

🧾 Conclusion

Driven by a passion for research and a commitment to academic excellence, Xinxin Wang exemplifies the qualities of a forward-thinking economist. 📊 Her contributions to the understanding of corporate innovation and financial risk management in transitional economies are already gaining recognition within the academic community. Her ongoing work promises to deliver meaningful impacts for both policy-makers and industry stakeholders. Xinxin is a highly deserving nominee for the Best Researcher Award and continues to be a rising star in the field of economics.