Kamal Tasiu | Econometrics and Finance | Innovative Research Award

Innovative Research Award

Kamal Tasiu — Istanbul University, Turkey

Kamal Tasiu
Affiliation Istanbul University
Country Turkey
Scopus ID 57217050164
Documents 5
Citations 59
h-index 4
Subject Area Econometrics and Finance
Event World Science Awards
ORCID 0000-0001-6268-8339

Kamal Tasiu is a researcher affiliated with Istanbul University, Turkey, whose supplied academic profile is associated with the field of Econometrics and Finance. The researcher is identified by Scopus Author ID 57217050164 and ORCID iD 0000-0001-6268-8339. [1] [2] This profile presents the available researcher-identification information and places the academic record within the broader context of quantitative economic and financial research.

Abstract

This academic recognition profile presents the supplied research information for Kamal Tasiu of Istanbul University, Turkey. The researcher’s identified subject area is Econometrics and Finance, a field encompassing quantitative economic analysis, financial modelling, statistical inference, econometric methods, and related applications. The supplied researcher identifiers include Scopus Author ID 57217050164 and ORCID iD 0000-0001-6268-8339. [1] [2] The available information is presented without attributing specific research findings that were not included in the supplied data.

Keywords

Kamal Tasiu; Innovative Research Award; Econometrics and Finance; Istanbul University; econometrics; financial economics; quantitative finance; economic modelling; statistical analysis; financial modelling; research methodology; academic research; scholarly communication; Turkey.

Introduction

Econometrics and Finance combine economic theory, statistical methods, mathematical modelling, and empirical analysis to investigate economic and financial phenomena. Econometric research can involve the development and application of statistical models for estimating relationships among economic variables, testing hypotheses, forecasting outcomes, and evaluating economic processes. Financial research may similarly address markets, risk, investment, financial institutions, asset pricing, and quantitative decision-making.

Innovative research in these fields can involve new methodological approaches, improved models, novel datasets, empirical techniques, or applications that provide additional evidence about economic and financial systems. Assessment of research innovation should consider the research question, methodological rigor, originality, reproducibility, relevance, and contribution to the existing scholarly literature rather than relying on a single quantitative indicator.

Research Profile

The supplied profile identifies Kamal Tasiu as being affiliated with Istanbul University in Turkey and associates the researcher with Econometrics and Finance. The Scopus Author ID provided is 57217050164, while the ORCID identifier is 0000-0001-6268-8339. [1] [2] These persistent identifiers can support the distinction of an individual researcher from other authors with similar names.

Research Contributions

The supplied subject classification places Kamal Tasiu’s research profile within Econometrics and Finance. Research in this area can contribute to the understanding of economic relationships and financial systems through quantitative modelling, empirical analysis, statistical estimation, forecasting, and evaluation of financial or economic data.

The supplied information does not identify individual publications, specific research findings, datasets, models, patents, software, or methodological innovations. Accordingly, no specific discovery or technical contribution is attributed to the researcher beyond the supplied institutional and subject-area information. Detailed assessment of research contributions would require examination of the underlying scholarly outputs.

  • Research profile associated with Econometrics and Finance.
  • Academic affiliation with Istanbul University, Turkey.

Publications

The supplied information identifies a Scopus author profile for Kamal Tasiu but does not provide individual publication titles, publication dates, journal names, co-authors, citation counts, or DOI identifiers. [1] Specific publications are therefore not listed or attributed in this article without verification.

For a publication-level evaluation, each scholarly output can be examined for methodological rigor, originality, research question, data quality, analytical approach, publication venue, citation context, and DOI or other persistent identifier. Such an assessment would provide more detailed evidence regarding the nature and significance of the research record.

Research Impact

The available input does not include citation totals, document counts, or h-index values for the researcher. Consequently, no numerical bibliometric impact measure is assigned in this profile. The absence of supplied metrics should not be interpreted as evidence for or against research impact.

In Econometrics and Finance, research impact can be examined through several dimensions, including scholarly citations, methodological adoption, use of datasets or models, influence on subsequent research, relevance to economic or financial decision-making, policy applications, and contributions to professional or academic practice. Bibliometric indicators should be interpreted in conjunction with qualitative evidence and disciplinary context. [3]

Award Suitability

The supplied profile provides identifiable academic and researcher information relevant to an Innovative Research Award profile in Econometrics and Finance. Kamal Tasiu is associated with Istanbul University and is identified through both Scopus Author ID 57217050164 and ORCID iD 0000-0001-6268-8339. [1] [2]

A complete award assessment should consider verified scholarly outputs, originality of research questions, methodological contribution, quality of evidence, disciplinary relevance, authorship contribution, research dissemination, and documented influence. Because publication-level evidence and bibliometric totals were not supplied, these aspects should be verified before drawing conclusions about the extent of research innovation.

  • Identified academic affiliation with Istanbul University.
  • Research subject area identified as Econometrics and Finance.
  • Publication-level evidence remains necessary for detailed evaluation of innovative research contributions.

Conclusion

Kamal Tasiu’s supplied academic profile identifies an affiliation with Istanbul University in Turkey and a research subject area of Econometrics and Finance. The researcher is associated with Scopus Author ID 57217050164 and ORCID iD 0000-0001-6268-8339. [1] [2]

The available information establishes the researcher’s identity and broad academic field but does not provide sufficient publication-level or bibliometric information to characterize specific innovations or quantify research impact. A comprehensive Innovative Research Award assessment should therefore incorporate verified scholarly outputs, methodological originality, research quality, disciplinary contribution, and documented influence.

References

  1. Elsevier. (n.d.). Scopus author details: Kamal Tasiu, Author ID 57217050164. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57217050164
  2. ORCID. (n.d.). ORCID record: Kamal Tasiu, ORCID iD 0000-0001-6268-8339.
    https://orcid.org/0000-0001-6268-8339
  3. Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., & Rafols, I. (2015). Bibliometrics: The Leiden Manifesto for research metrics. Nature, 520, 429–431.
    DOI: https://doi.org/10.1038/520429a
  4. World Science Awards. (n.d.). World Science Awards.
    https://shen.sciencefather.com/

Md. Shoriful Islam | Econometrics and Finance | Best Researcher Award

Mr. Md. Shoriful Islam | Econometrics and Finance | Best Researcher Award

Zhengzhou University, China

Mr. Md. Shoriful Islam, a Bangladeshi academic and researcher, is currently a Ph.D. candidate in Applied Economics at the Business School of Zhengzhou University, China, where his doctoral thesis focuses on the multidimensional effects of microfinancing on sustainable development, particularly poverty alleviation, unemployment reduction, and environmental sustainability. He holds both BBA and MBA degrees in Finance and Banking from Rajshahi University, where he graduated with top honors, securing first position in his BBA batch and second in MBA, alongside a strong academic foundation from Pabna Zilla School and Govt. Edward College. Professionally, he has accumulated more than 15 years of teaching and academic leadership experience, serving as Lecturer, Senior Lecturer, and Assistant Professor at Northern University Bangladesh before joining Zhengzhou University, with additional responsibilities as Program Coordinator for BBA, MBA, and Internship & Placement Programs. His research interests lie in development economics, social entrepreneurship, renewable energy consumption, and sustainable finance, integrating advanced econometric modeling with policy-relevant insights. Islam is skilled in data analysis software such as STATA, R, Python, EViews, and proficient in curriculum design, student mentorship, program coordination, and academic event management. His scholarly work has appeared in high-impact international journals such as Sustainable Development (Wiley), Journal of Knowledge Economy (Springer), Innovation and Green Development (Elsevier), and Environmental Science & Pollution Research (Springer Nature), contributing to debates on social enterprises, poverty alleviation, and environmental sustainability, with 6 Scopus-indexed publications, 23 citations, and an h-index of 2. He has presented at international conferences and forums, engaging with scholars and practitioners on finance, social enterprises, and sustainability. Among his honors, he received a Gold Medal from Rajshahi University for his outstanding BBA performance. In conclusion, Md. Shoriful Islam exemplifies a dedicated scholar whose academic excellence, impactful research, teaching contributions, and international collaborations position him as a future leader in applied economics and sustainable development.

Profile: Scopus

Featured Publications

Ayoungman, F. Z., Islam, M. S., Chishti, M. Z., & Shawon, A. H. (2024). A pathway towards sustainable development: Analysing the influential role of microfinancing on environmental quality in developing nations. Sustainable Development. Wiley. (SSCI indexed, Impact Factor: 8.2, CiteScore: 14.5, JCR Q1).

Ayoungman, F. Z., Islam, M. S., Zhang, F. L., et al. (2024). Social enterprise’s initiatives for socioeconomic sustainability: Appraisal based on morphogenetic/morphostatic approach and opportunity co-creation theory. Journal of Knowledge Economy. Springer Nature. (ABS 1 indexed, JCR Q1).

Ayoungman, F. Z., Islam, M. S., Masukujjaman, M., Shawon, A. H., & Mahmud, A. A. (2024). Financial factors influencing investment willingness in environment-friendly business: Empirical study on an emerging economy. Innovation and Green Development, 4(1). Elsevier.

Islam, M. S. (2024). Nongovernmental organizations transforming into social enterprises in the process of institutionalizing solutions to major social crises for ensuring sustainable social development. Zakaria Journal of Social Science, 4(1), 41–55. ISSN: 2957-4897.

Ayoungman, F. Z., Shawon, A. H., Ahmed, R. R., Khan, M. K., & Islam, M. S. (2023). Exploring the economic impact of institutional entrepreneurship, social innovation, and poverty reduction on carbon footprint in BRICS countries: What is the role of social enterprise? Environmental Science and Pollution Research. Springer Nature. (SCIE and Scopus indexed Q1 journal, Impact Factor: 6.18).

Katarina Frajtova Michalikova | Econometrics and Finance | Best Researcher Award

Mrs. Katarina Frajtova Michalikova | Econometrics and Finance | Best Researcher Award

University Teacher at University of Zilina, Slovakia

Katarína Frajtová Michalíková, PhD., is an accomplished academic and researcher in the field of financial management, specializing in the application of mathematical and statistical methods to corporate finance, financial-economic analysis, and banking. With a focus on the integration of Industry 4.0 elements, such as artificial intelligence, the Internet of Things, and the SMART economy, her research aims to optimize business processes and improve operational efficiency in companies. Her academic contributions, leadership roles, and international recognition in the research community underscore her commitment to advancing the field of finance through innovative methodologies. As a member of various editorial boards and organizing committees, she has shown dedication to shaping the academic discourse within her area of expertise.

Professional Profile

Education:

Ing. Katarína Frajtová Michalíková completed her undergraduate studies at the University of Economics in Bratislava, earning a degree in Finance, Banking, and Investments in 2004. She then pursued a PhD at the University of Žilina, where she specialized in Economics and Business Administration, focusing on tax policy in small and medium-sized enterprises. Her education has equipped her with both theoretical knowledge and practical skills, laying the foundation for her extensive research in financial management and corporate finance.

Professional Experience:

Since 2007, Ing. Katarína Frajtová Michalíková has been an Assistant Professor at the Department of Economics at the University of Žilina in Slovakia. Throughout her career, she has focused on integrating advanced technological concepts into financial management research. She has also led the Finance and Financial Management team, mentoring students and shaping the direction of academic research within her department. Beyond her teaching role, she has been an active member of the editorial board of international journals and has served on the organizing committee for the prestigious “Globalization and Its Socio-Economic Consequences” conference, which attracts scholars from across the world.

Research Interests:

Ing. Frajtová Michalíková’s research interests lie at the intersection of financial management, corporate finance, and the application of mathematical and statistical models. She focuses on optimizing internal business processes and analyzing the effects of these processes on operational costs. Her recent research explores the integration of Industry 4.0 technologies, such as artificial intelligence, the Internet of Things, and the SMART economy, in financial management practices. Additionally, she investigates the empirical verification of financial theories through business data, striving to close the gap between theory and practice in the financial sector.

Research Skills:

Ing. Frajtová Michalíková is skilled in a variety of research methodologies, particularly in mathematical and statistical analysis. She is proficient in using software such as IBM SPSS, SAS, and R, which allows her to handle large datasets and perform complex financial analyses. Her research also involves using advanced technologies, including artificial intelligence and the Internet of Things, to develop new financial management strategies. She is highly experienced in empirical research, analyzing business data to verify theoretical models, and is also skilled in presenting her findings through academic publications, conference presentations, and collaborative research projects.

Awards and Honors:

Ing. Frajtová Michalíková’s research excellence has earned her recognition within the academic community. She has been an active reviewer for top-tier journals, including Administrative Sciences, Sustainability, and Risks, reflecting her standing as an expert in her field. She is also a member of the editorial board of an impact-rated international journal, further demonstrating her influence in academic circles. As a committee member of the renowned “Globalization and Its Socio-Economic Consequences” conference, she has contributed significantly to the academic community. Her strong academic output, evidenced by her Scopus and WoS H-index, and her continued leadership roles in academic conferences highlight her recognition and achievements in financial management research.

Conclusion:

Ing. Katarína Frajtová Michalíková’s outstanding contributions to financial management and her application of Industry 4.0 technologies make her a strong candidate for the Best Researcher Award. Her expertise, leadership, and international recognition clearly demonstrate her commitment to advancing the field. With continued interdisciplinary collaboration and public engagement, she could further enhance her research impact and contribute even more significantly to both academia and industry.

Publication Top Notes

  1. The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
    Authors: Lăzăroiu, G., Gedeon, T., Rogalska, E., Michalikova, K.F., Musova, Z.
    Year: 2024
    Journal: Oeconomia Copernicana
    Volume: 15(1), Pages: 27–58
    Citations: 10
  2. Effect of CSR implementation and crisis events in business on the financial management of SMEs
    Authors: Dvorský, J., Švihlíková, I., Kozubíková, Ľ., Frajtova Michalíková, K., Balcerzak, A.P.
    Year: 2023
    Journal: Technological and Economic Development of Economy
    Volume: 29(5), Pages: 1496–1519
    Citations: 12
  3. Cognitive Computing and Workplace Monitoring Systems, Generative Artificial Intelligence and Contextual Awareness Tools, and Multi-Sensory Augmented Reality and Spatial Data Mining Algorithms in Multi-Organizational Collaborative Environments
    Authors: Frajtova Michalikova, K., Frajt, T., Popescu, G.H., Rashid, M.
    Year: 2023
    Journal: Analysis and Metaphysics
    Volume: 22, Pages: 101–120
    Citations: 0
  4. Evaluation of personnel risk in the SMEs in the V4 countries
    Authors: Petrakova, Z., Frajtova Michalikova, K., Streimikis, J., Fialova, V.
    Year: 2023
    Journal: Journal of International Studies
    Volume: 16(4), Pages: 191–204
    Citations: 2
  5. Productivity Software Tools, Wearable Augmented Reality Devices, and Generative Artificial Intelligence and Immersive Remote Collaboration Systems in Virtually Simulated Workspace Environments
    Authors: Frajt, T., Frajtova Michalikova, K., Balica, R.-Ș.
    Year: 2023
    Journal: Contemporary Readings in Law and Social Justice
    Volume: 15(2), Pages: 179–197
    Citations: 1
  6. Deep Learning-Based Object Detection and Holographic Virtual Imaging Technologies, Mobile Biometric and Sentiment Data, and Digital Twin Simulation and Modeling Tools in the Metaverse Economy
    Authors: Michalikova, K.F., Ondrejka, R., Johnson, E.
    Year: 2023
    Journal: Linguistic and Philosophical Investigations
    Volume: 22, Pages: 247–263
    Citations: 1
  7. Retail Data Measurement Tools, Cognitive Artificial Intelligence Algorithms, and Metaverse Live Shopping Analytics in Immersive Hyper-Connected Virtual Spaces
    Authors: Zvarikova, K., Michalikova, K.F., Rowland, M.
    Year: 2022
    Journal: Linguistic and Philosophical Investigations
    Volume: 21, Pages: 9–24
    Citations: 25
  8. Quo Vadis, earnings management? Analysis of manipulation determinants in Central European environment
    Authors: Valaskova, K., Adamko, P., Michalikova, K.F., Macek, J.
    Year: 2021
    Journal: Oeconomia Copernicana
    Volume: 12(3), Pages: 631–669
    Citations: 44
  9. Deep Learning-based Sensing Technologies, Artificial Intelligence-based Decision-Making Algorithms, and Big Geospatial Data Analytics in Cognitive Internet of Things
    Authors: Blake, R., Michalikova, K.F.
    Year: 2021
    Journal: Analysis and Metaphysics
    Volume: 20, Pages: 159–173
    Citations: 32
  10. Autonomous vehicle decision-making algorithms, interconnected sensor networks, and big geospatial data analytics in smart urban mobility systems
    Authors: Goodman, C., Michalikova, K.F.
    Year: 2021
    Journal: Contemporary Readings in Law and Social Justice
    Volume: 13(2), Pages: 93–106
    Citations: 3