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