Prof. Ying Zhang | Decision Sciences
| Best Researcher Award

Researcher at Yunnan University of Finance and Economics, China.

Professor Ying Zhang, born in 1980 (Bai nationality, Australian PR), is a tenured professor at Yunnan University of Finance & Economics since 2019. Her expertise spans International Human Resource Management (IHRM), Organizational Behavior (OB), cultural intelligence, expatriation, and management science. With over 30 peer-reviewed papers—14 in JCR Q1 and 5 in Q2 journals—and seven authored books, her cumulative impact factor exceeds 280. She has led multiple national and international research projects and received 12 prestigious awards. Renowned for mentoring postgraduate students from minority backgrounds in mountainous regions, she guided SSCI-published research and earned China’s First Prize for National Master Thesis Instruction, highlighting her impact in both research excellence and inclusive education.

professional profile

Scopus

Education

Professor Ying Zhang earned her Ph.D. in Management from Charles Sturt University (CSU), Australia, in 2014, with a focus on international management and human resource development. She holds a Master of Education from the University of Melbourne (2004), where she specialized in cross-cultural and curriculum studies. Her undergraduate studies were completed at Yunnan University (1998–2002), majoring in Foreign Languages, which laid the foundation for her bilingual teaching and international orientation. Her academic trajectory reflects a strong blend of management, education, and cultural fluency—qualities that fuel her interdisciplinary research and global collaborations. Her diverse academic background empowers her to bridge Western and Eastern educational philosophies and manage research projects with international relevance and impact.

Work Experience

Since 2015, Professor Ying Zhang has served as a professor at the International Business School, Yunnan University of Finance & Economics, a CSU partner institution. She teaches across undergraduate to doctoral levels, delivering courses in English and bilingual formats, such as HRM, Strategic Marketing, Global Business, and Cross-cultural Management. She supervises master’s and Ph.D. students in management science, engineering, and international business. Her practical experience includes leading international collaborations, including three Sino-Australian projects. She has also been actively involved in academic research, project management, and community outreach. Her dual role as a scholar and mentor demonstrates a well-rounded professional commitment to teaching, research, and inclusive academic development in diverse regions.

Research Focus

Professor Ying Zhang’s research concentrates on International Human Resource Management (IHRM), Organizational Behavior (OB), cultural intelligence, and expatriation management. Her work critically examines how culture influences management practices, employee behavior, and global business operations. She explores the dynamics of expatriate adaptation, leadership development in multicultural contexts, and organizational strategies for global talent retention. With a focus on evidence-based analysis and cross-cultural applicability, she integrates qualitative and quantitative methodologies to drive innovation in management science. Her projects often intersect with real-world policy, addressing economic development in remote and minority communities. Her research not only advances theoretical frameworks but also provides practical models for effective intercultural engagement in today’s globalized business environment.

Conclusion

Ying Zhang is highly suitable for the Research for Best Researcher Award. Her academic profile, research leadership, international collaborations, and exceptional teaching contributions collectively make her a top-tier candidate. Minor advancements in global visibility and applied impact would further elevate her candidacy, but she already demonstrates an outstanding record worthy of high recognition.

Publications to Noted

📄 An investigation of the impact of intellectual capital on entrepreneurial performance
Year: 2024 | 🔍 Journal of International Management (JCR Q1, IF=6.200, ABDC-A) | 📚

📄 Knowledge management of MNCs in the post-COVID Era: The role of cultural intelligence and knowledge-oriented leadership
Year: 2024 | 🔍 Journal of Knowledge Management (JCR Q1, IF=9.961, ABDC-A) | 📚

📄 Team Psychological Resource as A Critical Enabler for Innovation and Knowledge Creation
Year: 2023 | 🔍 Journal of Industrial Integration and Management (ESCI Q1, IF=9.000) | 📚

📄 Modelling the Influence of Individual Differences on Knowledge Hiding
Year: 2022 | 🔍 Journal of Knowledge Management (JCR Q1, IF=9.961, ABDC-A) | 📚

📄 Exploring the longitudinal effects of emotional and cultural intelligence on knowledge management processes
Year: 2022 | 🔍 Asia Pacific Journal of Management (JCR Q2, IF=6.721, ABS***, ABDC-A) | 📚

Dr. Madina Abdrakhmanova | Financial maths | Best Researcher Award

Research officer at DAWSUN (Diaspora African Women’s Support Network), United Kingdom

Dr. Madina Abdrakhmanova is a distinguished finance scholar and educator with a PhD in Corporate Finance from Glasgow Caledonian University. Her academic journey includes an MSc in Banking, Finance, and Risk Management from the same institution, a BSc (Hons) in Mathematics from the University of St. Andrews, and a BSc in Finance and Financial Law from Narxoz University. Dr. Abdrakhmanova has held various academic positions, including lecturer and tutor roles at Glasgow Caledonian University, and currently serves as a Research Officer at DAWSUN in Glasgow. Her research focuses on corporate bankruptcy prediction models, financial risk management, and the application of artificial intelligence in finance. She has contributed to several publications and conferences, emphasizing the integration of AI in financial analysis and promoting diversity in financial education. Dr. Abdrakhmanova is also actively involved in mentoring programs aimed at bridging the financial skills gap among underrepresented groups.

professional profile

ORCID

Education

Dr. Abdrakhmanova’s educational background is both extensive and diverse. She earned her PhD in Corporate Finance from Glasgow Caledonian University in June 2022, where her research centered on analytical methods for predicting corporate bankruptcy, including a quantitative meta-regression and comparative analysis. Prior to this, she completed an MSc in Banking, Finance, and Risk Management at the same university in November 2013, covering modules such as Financial Market and Product Risk, Investment Banking, and Financial Services Regulation. Her academic journey began with a BSc (Hons) in Mathematics from the University of St. Andrews in November 2010, where she studied subjects like Classical Mechanics, Fluid Dynamics, and Financial Maths. Additionally, she holds a BSc in Finance and Financial Law from Narxoz University, completed via distance learning in June 2006, focusing on areas like Corporate Finance, Econometrics, and Financial Markets.

work Experience

Dr. Abdrakhmanova has amassed a wealth of experience in academia and research. Since May 2023, she has been serving as a Research Officer at DAWSUN in Glasgow, where she teaches Excel for financial modeling and data analysis, develops initiatives for international partnerships, and manages research projects. Her previous roles include occasional lecturer and tutor positions at Glasgow Caledonian University from September 2015 to May 2018, where she taught modules such as Fundamentals of Corporate Finance and Research Methods using SPSS. She has also supervised master’s dissertations in Financial Technology and served as an assistant assessor for the Institute of Risk Management in London. Her experience reflects a strong commitment to education, research, and the application of practical skills in finance.

Research Focus

Dr. Abdrakhmanova’s research interests lie at the intersection of finance and technology. Her PhD research delved into analytical methods for predicting corporate bankruptcy, utilizing both statistical tools and artificial intelligence models. She has explored the predictive abilities of these models through systematic reviews and quantitative meta-analyses. Her work also encompasses the application of AI in financial risk management, as evidenced by her co-authored paper on multimodal person verification using audio-visual-thermal data. Furthermore, she has investigated topics like board gender diversity and ESG disclosure in developed countries, highlighting her commitment to addressing contemporary issues in corporate finance and governance.

Awards and honors

While specific awards and honors are not detailed in the provided information, Dr. Abdrakhmanova’s contributions to academia and research have been recognized through her involvement in various conferences and publications. She has presented her work at notable events such as the Credit Scoring and Credit Control Conference at the University of Edinburgh and the Annual International Conference on Accounting and Finance in Athens. Her role in organizing and presenting at these conferences underscores her standing in the academic community. Additionally, her research has been published in respected journals, reflecting the impact and quality of her work in the field of finance.

Skills 🛠️

Dr. Abdrakhmanova possesses a robust set of skills that bridge theoretical knowledge and practical application. Her expertise includes meta-analysis and systematic literature review using Comprehensive Meta-Analysis software, mathematical modeling, and the application of scientific theory to quantitative data. She is proficient in various statistical software and programming languages, such as STATA, SPSS, Python, and R. Her presentation skills are well-honed, allowing her to effectively communicate complex concepts to diverse audiences. Additionally, she has experience working with large datasets and has been involved in organizing conferences, demonstrating her capabilities in both research and event coordination.

Conclusion

Dr. Madina Abdrakhmanova is highly suitable for the Research for Best Researcher Award. Her blend of academic rigor, practical engagement, community contribution, and leadership in financial education and risk research positions her as a standout candidate. With a growing influence in both scholarly and applied domains, she embodies the qualities of a transformative and forward-thinking researcher.

Publications to Noted

Title: Exploring the Impact of Study Characteristics in Artificial Neural Network Corporate Bankruptcy Prediction Models: A Meta-Regression Approach
Authors: Chioma Nwafor, Madina Abdrakhmanova, Sanjukta Brahma
Year: 2022

Title: Review of Analytical Methods of Analysing Credit Risk
Author: Madina Abdrakhmanova
Year: 2015

Title: Comparison of Modelling Methods for Probability of Default: Evidence from British Listed Firms
Author: Madina Abdrakhmanova
Year: 2016

Title: Africa’s Debt Conundrum and Infrastructure Deficit: The Quest for Sustainable Debt and Development
Authors: Chioma Nwafor, Madina Abdrakhmanova
Year: 2023

Title: Board Gender Diversity and Environmental, Social, and Governance (ESG) Disclosure in Developed Countries
Authors: M.C. Omenihu, Madina Abdrakhmanova, D. Koufopoulos
Year: 2025

Ying Zhang | Decision Sciences | Best Researcher Award

Prof. Ying Zhang | Decision Sciences
| Best Researcher Award

professional profile

Education

Work Experience

Research Focus

Conclusion

Publications to Noted

Madina Abdrakhmanova | Financial maths | Best Researcher Award

Dr. Madina Abdrakhmanova | Financial maths | Best Researcher Award

professional profile

Education

work Experience

Research Focus

Awards and honors

Skills 🛠️

Conclusion

Publications to Noted

RECOMMENDED

Mail us

Prof. Ying Zhang | Decision Sciences | Best Researcher Award

professional profile

Education

Work Experience

Research Focus

Conclusion

Publications to Noted

Dr. Madina Abdrakhmanova | Financial maths | Best Researcher Award

professional profile

Education

work Experience

Research Focus

Awards and honors

Skills 🛠️

Conclusion

Publications to Noted

Prof. Ying Zhang | Decision Sciences
| Best Researcher Award