Canicio Dzingirai | Economics | Best Researcher Award

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Dr. Canicio Dzingirai | Economics | Best Researcher Award

Dr. Canicio Dzingirai | Economics | Senior Lecturer at University of Namibia | Namibia

Dr. Canicio Dzingirai is an accomplished scholar in Financial Economics, Development Finance, Banking and Financial Systems, and Industrial Economics, recognized for his influential contributions across regional and international academic platforms. With a strong academic foundation supported by advanced postgraduate training culminating in a doctoral degree in his field, Dr. Canicio Dzingirai has built a distinguished career marked by teaching, research, and policy-oriented engagements. His professional experience includes serving as a researcher, lecturer, and collaborator with institutions such as the University of Namibia, Texas Tech University, the University of the Free State, the University of South Africa, and IHE Delft Institute for Water Education, where he has contributed to curriculum development, graduate supervision, and cross-institutional research initiatives. His research interests span financial development, economic growth, institutional quality, public finance, banking performance, digital finance, interoperability frameworks, savings behavior, and macro-financial stability, reflecting a strong interdisciplinary approach that integrates econometric modelling, strategic financial analysis, and applied microeconometrics. Dr. Canicio Dzingirai is proficient in advanced statistical tools, quantitative modelling, survey design, data analytics, and impact assessment, enabling him to contribute meaningfully to empirical and theoretical discourse. His scholarly output includes influential publications in reputable journals indexed in Scopus and other major databases, achieving over 340 citations, an h-index of 9, and an i10-index of 9, demonstrating strong impact and research visibility. He has collaborated with globally recognized scholars, contributing to high-value research projects examining financial sustainability, bank performance, institutional dynamics, virtual learning systems, and economic development across Sub-Saharan Africa. His professional memberships include affiliations with academic and research associations that promote financial literacy, sustainable development, and evidence-based policy reforms. Throughout his career, Dr. Canicio Dzingirai has received various recognitions for academic excellence, research contribution, and community-engaged scholarship, reflecting his commitment to advancing knowledge and supporting socio-economic development. His work continues to influence public policy, banking regulation, and development frameworks in emerging economies. In conclusion, Dr. Canicio Dzingirai’s academic trajectory, research productivity, and collaborative achievements position him as a leading voice in his field, with strong potential for further contributions through international research grants, interdisciplinary partnerships, and continued engagement in high-impact scholarly work.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Dzingirai, C. (2014). Causal relationship between government tax revenue growth and economic growth: A case of Zimbabwe (1980–2012). Citations: 61

  2. Zhou, M., Dzingirai, C., Hove, K., Chitata, T., & Mugandani, R. (2022). Adoption, use and enhancement of virtual learning during COVID-19. Citations: 58

  3. Dzingirai, C., & Katuka, B. (2014). Determinants of bank failures in multiple-currency regime in Zimbabwe (2009–2012). Citations: 44

  4. Bandura, W. N., & Dzingirai, C. (2019). Financial development and economic growth in Sub-Saharan Africa: The role of institutions. Citations: 42

  5. Mashiri, E., Dzomira, S., & Canicio, D. (2021). Transfer pricing auditing and tax forestalling by multinational corporations: A game-theoretic approach. Citations: 36

 

Somayeh Najafi-Ghobadi | Econometrics | Best Researcher Award

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Assist. Prof. Dr. Somayeh Najafi-Ghobadi | Econometrics | Best Researcher Award

Assist. Prof. Dr. Somayeh Najafi-Ghobadi | Econometrics | Assistant profesor at Kermanshah university of technology | Iran

Assist. Prof. Dr. Somayeh Najafi-Ghobadi is a dedicated academic and researcher whose scholarly work integrates industrial engineering, operations research, data mining, and healthcare analytics, making her a highly recognized contributor in multidisciplinary research environments. She obtained her Ph.D. in Industrial Engineering and currently serves as an Assistant Professor in the Department of Industrial Engineering at Kermanshah University of Technology, where she actively mentors students, leads research initiatives, and contributes to institutional academic excellence. Her professional experience includes extensive involvement in research projects focusing on optimization, supply chain management, and data-driven modeling, as well as collaborations with prominent scholars from institutions such as the University of Tehran, Alzahra University, and Tecnológico de Monterrey, which highlight her ability to work in international and cross-disciplinary teams. Assist. Prof. Dr. Somayeh Najafi-Ghobadi has cultivated expertise in game theory, machine learning applications, and predictive modeling, contributing to both theoretical advancements and real-world problem-solving, particularly in industrial decision-making and healthcare applications. Her research interests cover a wide range of interconnected domains, including closed-loop supply chains, new product diffusion modeling, dynamic pricing, healthcare informatics, and predictive analytics for patient outcomes. With a citation count of over 136, an h-index of 7, and an i10-index of 6, her publications in high-quality journals indexed in Scopus and IEEE demonstrate not only the visibility but also the impact of her research contributions. She has published influential works on subjects such as pricing and supplier selection in closed-loop supply chains, machine learning classifiers for predicting low birth weight, and optimization of marketing-mix strategies for new generation products, which reflect her versatility and problem-oriented approach to complex challenges. In terms of research skills, Assist. Prof. Dr. Somayeh Najafi-Ghobadi is proficient in advanced mathematical modeling, algorithm development, data mining, and statistical analysis, and she applies these skills to both industrial optimization problems and health-related predictive studies.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

Najafi-Ghobadi, S., & Esmaeili, M. (2018). A game theory model for pricing and supplier selection in a closed-loop supply chain. International Journal of Procurement Management, 11(4), 472–494. Citations: 25

Arayeshgari, M., Najafi-Ghobadi, S., Tarhsaz, H., Parami, S., & Tapak, L. (2023). Machine learning-based classifiers for the prediction of low birth weight. Healthcare Informatics Research, 29(1), 54–63. Citations: 19

Najafi-Ghobadi, S., Bagherinejad, J., & Taleizadeh, A. A. (2021). A two-generation new product model by considering forward-looking customers: Dynamic pricing and advertising optimization. Journal of Retailing and Consumer Services, 63, 102387. Citations: 19

Najafi-Ghobadi, S., Bagherinejad, J., & Taleizadeh, A. A. (2021). Modeling the diffusion of generation products in the presence of heterogeneous strategic customers for determining optimal marketing-mix strategies. Computers & Industrial Engineering, 160, 107606. Citations: 16