Anna Tarasova | Econometrics and Finance | Research Excellence Award

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Anna Tarasova | Econometrics and Finance | Research Excellence Award

Vol | Russia

Dr. Anna Tarasova is an Associate Professor of Economics and Head of the Laboratory for National and Confessional Studies. She holds a PhD in Economics from Volga (Kazan) Federal University, where her doctoral research focused on transforming models of academic entrepreneurship within the digital economy. She also earned a Master of Public Administration from Volga State University of Technology, with research centered on the efficiency and quality of educational activities as drivers of territorial development. Her academic background further includes specialist training in English and French languages, supporting her interdisciplinary approach to research and academic leadership.

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Judit Sági | Econometrics and Finance | Research Excellence Award

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Judit Sági | Econometrics and Finance | Research Excellence Award

Budapest University of Economics and Business | Hungary

Prof. Judit Sági, Ph.D. (Habil.) is an Associate Professor of Finance at the Budapest Business University, Faculty of Finance and Accountancy, where she has been teaching since 1999 and currently serves as Deputy Dean for Research Affairs. She teaches a wide range of finance-related courses—primarily in English—including banking, risk management, monetary policy, SME financing, and wealth and tax planning. Her research focuses on financial awareness, pro-birth policies, family businesses, credit guarantees, banking, and company valuation. She is the author of several academic works, including the book Banktan (Banking), and leads both the Financial Services specialisation and the Financial Management master’s programme in English and Hungarian. Her professional background also includes experience as an auditor and as a risk analyst and project lead manager in the banking sector, with expertise in M&A advisory and project financing.

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Meiqun Yin | Econometrics and Finance | Best Researcher Award

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Meiqun Yin | Econometrics and Finance | Best Researcher Award

China University of Political Science and Law | China

Professor Meiqun Yin is the Vice Dean, Professor, and Ph.D. Supervisor at the Business School of the China University of Political Science and Law (CUPL), Beijing. She earned her Ph.D. in Accounting from Renmin University of China in 2005 and has over 15 years of distinguished academic and administrative experience. A pioneering scholar at the intersection of accounting, quantitative finance, and artificial intelligence, Professor Yin leads groundbreaking research integrating large language models (LLMs) and chain-of-thought (CoT) prompting into financial forecasting and portfolio optimization. Her flagship study, published in Expert Systems with Applications (2026), demonstrates the superior predictive power of AI-driven models in earnings forecasting and investment strategy design, generating significant alpha with low-risk exposure. As a core researcher in AI-driven financial analysis, she has led multiple national and provincial research projects supported by the National Natural Science Foundation of China and the National Social Science Foundation of China. Professor Yin has published extensively in leading journals and contributed influential works on digital finance, financial statement analysis, and responsible investment. Recognized with honors such as the First Prize for Research Achievement, Outstanding Teaching Award, and the Young and Middle-aged Backbone Teacher Title, she continues to advance the digital transformation of accounting and finance education. She is also a Certified Public Accountant (CPA) and an active member of the Chinese Accounting Association and IMA China Management Accounting Expert Committee.

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Featured Publications

Yin, M., & Guo, M. (2026). Complex forecasting and investment strategy optimization via chain-of-thought of large language models. Expert Systems with Applications, 298, 129913.

 

Nimra Usman | Econometrics and Finance | Best Researcher Award

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Nimra Usman | Econometrics and Finance | Best Researcher Award

Bahauddin Zakariya University Multan | Pakistan

Nimra Usman is a Pakistani economist with a strong blend of academic and professional experience in economics, data analysis, and policy advisory. She holds an M.Phil in Economics from the School of Economics at Bahauddin Zakariya University, Multan, where she graduated with distinction, earning with her thesis focusing on “Economic Freedom, Logistics Performance, International Grant & Burden of Debt: Case of Developing Countries.” She also holds an M.Sc in Economics from the same institution. Nimra has contributed to the field through both teaching and consultancy; she served as a Lecturer in Economics at the Institute of Southern Punjab and Nishat Higher Secondary School, where she taught courses including Microeconomics, Macroeconomics, and Development Economics, while also mentoring students and developing curriculum materials. Professionally, she has held leadership and advisory roles, including serving as Chief Operating Officer at Digi Vyze, where she managed operations, team coordination, and strategic execution to enhance growth and efficiency. Most recently, she was a Consultant with the World Bank Group’s Young Economist Immersion Program in Islamabad, where she contributed analytical work for the Pakistan Development Update, supported macro-fiscal meetings, prepared presentations, and aided in report outreach, demonstrating her expertise in fiscal policy and economic analysis. Nimra combines rigorous academic training with practical experience in economic research, policy insights, and organizational leadership, reflecting a commitment to advancing economic understanding and contributing to development-oriented initiatives in Pakistan and beyond.

Profile: Orcid | Scopus

Featured Publications

Javed, A., & Usman, N. (2025). Skill-biased labour market effects of environmental policy and green energy transition in Italy. Energy Policy.

Usman, N., Chaudhry, M. O., & Javed, A. (2025). Navigating debt burden: An analysis of economic freedom, logistics performance and foreign aid using method of moments quantile regression. GCU Economic Journal, 1–41.