Gangai Selvi | Econometrics and Statistical Economics | Women in Statistics Award

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Dr. Gangai Selvi | Econometrics and Statistical Economics | Women in Statistics Award

Tamil Nadu Agricultural University | India

Dr. R. Gangai Selvi, M.Sc., M.Phil., Ph.D., is a distinguished Professor of Statistics in the Department of Physical Sciences and Information Technology at the Agricultural Engineering College and Research Institute, Tamil Nadu Agricultural University (TNAU), Coimbatore, known for her exemplary contributions to teaching, research, and academic development. She holds a Ph.D. in Econometrics from TNAU, an M.Phil. and M.Sc. in Statistics, and a B.Sc. from PSG College of Arts and Science, along with a Diploma in Computer Applications and certifications in programming, reflecting a strong foundation in both statistical theory and computational methods. Dr. Gangai Selvi’s areas of specialization encompass Econometrics, Spatial Econometrics, Applied Statistics, Design of Experiments, Data Analytics, Biostatistics, and Statistical Methods, complemented by her proficiency in statistical software including R, SAS, SPSS, SYSTAT, and STATA. She has developed innovative ICT-based learning tools, most notably the “TNAU Statistics Quiz” Android Mobile App and its corresponding software version, both officially recognized with copyrights for their contribution to student learning and competitive exam preparation, including ICAR and other agricultural examinations. In addition, she has mentored numerous students in technology-enhanced education initiatives, guided mobile app development projects, and created educational YouTube content to support interactive learning. Her teaching portfolio spans undergraduate, postgraduate, and doctoral courses, covering a wide range of topics such as Applied Statistics, Statistical Methods, Design of Experiments, Statistical Inference, Sampling Techniques, Econometrics, Biostatistics, Multivariate Analysis, Regression Analysis, and Statistical Quality Control, reflecting her commitment to cultivating analytical and research skills among students. Her research experience includes serving as Principal Investigator and Co-Principal Investigator on major projects, focusing on areas such as big data analytics, crop yield prediction, agricultural variability, and spatial econometric modeling, with outcomes contributing significantly to the field of agricultural statistics. Dr. Gangai Selvi’s scholarly work, combined with her innovative approach to education and technology integration, establishes her as a respected academic, educator, and thought leader in statistical and econometric research.

Profiles: Google Scholar | Orcid

Featured Publications

Jitae Kim | Econometrics and Statistical Economics | Excellence in Research Award

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Dr. Jitae Kim | Econometrics and Statistical Economics | Excellence in Research Award

Environmental Planning Institute | South Korea

Dr. Jitae Kim is a distinguished environmental and resource economist serving as a Senior Researcher at the Environmental Planning Institute of Seoul National University and as an Academic Research Professor with the Korea Research Foundation. He holds a Ph.D., M.A., and B.A. in Economics, completing all degrees at leading Korean universities, and has built a multidisciplinary research portfolio spanning environmental planning, climate economics, applied econometrics, labor-market dynamics, and carbon policy analysis. His scholarly work covers meta-regression valuation of biodiversity, cost–benefit assessments of ecological projects, econometric forecasting of energy demand, and empirical investigations of how climate extremes such as heatwaves and typhoons influence labor markets, wages, and informal work conditions. He has contributed extensively to research on carbon mitigation under the Korean Emissions Trading Scheme, the co-benefits of green remodeling, and the transition toward sustainable energy systems. His international collaborations include major research projects on climate-disaster-driven labor-market disruptions in the Philippines, conducted with academic partners at Ateneo de Manila University. His publications appear in respected international and Korean journals, complemented by multiple working papers, conference presentations, and policy-oriented studies. Based on publicly available academic profiles, he has 2 indexed documents and approximately 109 citations, with an estimated h-index of about 1, reflecting the early but growing influence of his work. Before advancing into academia and research leadership, he served in analytical roles with institutions such as the Korea Capital Market Institute and the Korea Labor Institute, contributing to evidence-based policy development in environmental, labor, and economic sectors. Through his expanding body of research, Dr. Kim continues to shape discussions on just transition, climate-risk adaptation, sustainable energy planning, and equitable climate-finance allocation, establishing himself as a rising scholar dedicated to bridging empirical analysis with practical environmental policy solutions.

Profiles: Scopus | Google Scholar 

Featured Publication

Kim, J., Hong, J. H., & Kim, J. (2025). Energy consumption forecasting of neighborhood living facilities: A panel regression approach.

Xhavit Islami | Econometrics and Statistical Economics | Best Researcher Award

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Assist Prof. Dr. Xhavit Islami | Econometrics and Statistical Economics | Best Researcher Award

AAB College | Albania

Assist Prof. Dr. Xhavit Islami is a leading academic in Management and Strategic Management at the Faculty of Economics, AAB College, Republic of Kosovo. He earned his PhD in Organizational Sciences and Management from the University of “Ss. Cyril and Methodius” in North Macedonia and has since built a strong record of research and scholarly contributions. Professor Islami has completed 35 research projects and is currently engaged in five ongoing projects, demonstrating his active involvement in advancing knowledge in management, strategic decision-making, human resource management, and supply chain management. He has published 16 articles in high-impact, Scopus-indexed journals and authored two books, reflecting his commitment to rigorous scholarship. His research work has earned him a Scopus h-index of 4 with 122 citations, highlighting the influence of his publications within the international academic community. He has also participated in five consultancy and industry-sponsored projects, bridging the gap between theory and practice. Professor Islami has collaborated on significant initiatives, including the “EDU-LAB Horizon” Project (2025–2027), and serves on the Scientific Committee of AAB College. His studies focus on innovative strategies, organizational performance, and the integration of artificial intelligence in management practices, providing practical insights for businesses and policymakers. Through his research, he has contributed to the understanding of competitive advantage, sustainable growth, and organizational effectiveness. Professor Islami maintains active professional profiles on Scopus, ORCID, ResearchGate, SSRN, and Academia.edu, ensuring his work is accessible and widely recognized. His scholarly achievements, combined with his ongoing research and industry collaborations, position him as a prominent figure in management and strategic studies, making him a highly deserving candidate for the Best Researcher Award.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

“When and How Does Innovation Augment the Effect of HRM on SME Performance?”

“Artificial intelligence and value-based strategy: a literature review and future research directions”

“Lean manufacturing and firms’ financial performance: the role of strategic supplier partnership and information sharing”

“Does competitive strategy moderate the linkage between HRM practices and company performance”

“The Role of Internal Human Resource Orchestration on Firm Performance”