Ke Cui | Business Management and Accounting | Best Researcher Award

Published on by Award and Honors

Dr. Ke Cui | Business Management and Accounting | Best Researcher Award

Student | Liaoning University | China

Dr. Ke Cui is a rising scholar in the field of economics with a multidisciplinary academic background combining management and economic theory. With a strong foundation in accounting and advanced research in national and regional economic systems, she has developed a unique analytical approach to socioeconomic development, industrial transformation, and policy reform. Her academic journey reflects a consistent commitment to combining empirical research with policy-oriented thinking, particularly focusing on Northeast China’s industrial revitalization and rural development.

Professional Profile

Scopus

Education

Dr. Cui obtained her Bachelor’s degree in Accounting from Northeast Forestry University, She later pursued a Master’s degree in National Economics at Liaoning University, where she further deepened her understanding of macroeconomic policy and regional development. Throughout her academic career, she has demonstrated outstanding leadership and academic excellence, receiving scholarships and engaging actively in student governance.

Experience

Dr. Cui has held several influential student leadership roles, including serving as the Youth League Secretary at both Northeast Forestry University and Liaoning University. She also contributed to the university choir as the lead piano accompanist, demonstrating versatility beyond academia. Professionally, she interned at JD.com’s Government and Enterprise Division, where she gained firsthand experience in market operations, organizational strategy, and e-commerce economics, which further solidified her interest in practical economic applications and policy implementation.

Research Interests

Dr. Cui’s research focuses on regional economic revitalization, agricultural modernization, and industrial upgrading, with a special emphasis on “new quality productive forces” in Northeast China. Her scholarly work investigates the transformation of traditional industries and the integration of digital technologies into regional economic models. Additionally, she has conducted in-depth studies on the social dynamics of student-parent relationships, rural development mechanisms, and urban-rural integration strategies, reflecting her comprehensive and interdisciplinary research approach.

Honors

Dr. Cui’s academic excellence has been recognized through numerous awards. She received the University-Level First-Class Scholarship at Liaoning University, as well as the Third-Class Scholarship at Northeast Forestry University. Her leadership and civic involvement earned her titles such as “Model Youth League Leader,” “Outstanding Student Cadre,” and “Outstanding Volunteer” (First Prize). She also holds several professional qualifications, including the ITPT E-commerce Specialist Certificate, the Fund Practitioner License, and the Banking Professional Qualification Certificate, which complement her academic expertise with practical competencies.

Top Noted Publication

Title: Information barrier, audit quality, and organizational resilience
Index: Finance Research Letters
Year of Publication: 2025

Conclusion

Dr. Ke Cui exemplifies a new generation of interdisciplinary economists dedicated to regional development and policy innovation. Her academic journey, enriched by leadership, research, and applied fieldwork, positions her as a promising scholar in economic transformation and modernization strategies. Her published work and contributions to government-backed research projects underscore her ability to integrate theoretical knowledge with real-world solutions. Dr. Cui continues to pursue impactful academic and policy-driven research with the potential to shape regional economic reform and sustainable development.

Dr Yan Wang | Risks | Best Researcher Award |

Published on by Award and Honors

Dr. Yan Wang | Risks | Best Researcher Award

Applied Scientist, at Kennesaw State University, United States

Dr. Yan Wang is a distinguished researcher in data science, analytics, and machine learning, specializing in credit risk modeling, statistical analysis, and investment decision-making. With an exceptional academic background and hands-on industry experience, Dr. Wang has made significant contributions to predictive modeling, fraud detection, and financial risk assessment. Her work integrates advanced statistical techniques, machine learning algorithms, and big data analytics, impacting both academia and industry.

Professional Profile

Scopus

Education 🎓

Dr. Wang holds a Ph.D. in Analytics and Data Science from Kennesaw State University (GPA: 4.00), where she pioneered research in data-driven investment decision-making in peer-to-peer lending. She also earned an M.S. in Statistics from the University of Georgia (GPA: 4.00), further strengthening her expertise in mathematical modeling and predictive analytics. Her foundational education includes an M.S. in Pharmacokinetics (GPA: 3.92) and a B.S. in Pharmacy (GPA: 3.81) from China Pharmaceutical University, providing a unique interdisciplinary perspective in data science applications within finance, healthcare, and pharmaceuticals.

Experience 💼

Currently, Dr. Wang is a Statistician at Credigy Solutions, where she applies advanced analytics and machine learning to credit risk modeling and investment strategies. Her expertise in data visualization, predictive analytics, and risk assessment has led to a 10% reduction in model errors and improved financial forecasting. Previously, she interned at Hexaware Technologies, where she developed fraud detection models for Starbucks, leveraging cost-sensitive learning methods and ensemble techniques.

Research Interest 🔬

Dr. Wang’s research revolves around machine learning applications in financial analytics, statistical modeling, and credit risk assessment. She has developed novel models for predicting loan defaults, fraud detection, and investment risk. Her work integrates time-series analysis, ensemble learning, deep learning, and feature selection techniques to enhance model accuracy and efficiency. She has also contributed to text mining and natural language processing (NLP), applying these techniques to analyze National Science Foundation (NSF) funding trends.

Award 🏅

Dr. Wang has been recognized for her research excellence with multiple accolades, including the Best Poster Award at ACMSE 2019 for her groundbreaking work in fraud detection. Her proposed machine learning models have significantly improved industry-standard risk assessments, and her patent-pending innovation in predictive modeling showcases her contributions to data-driven financial decision-making.

Top Noted Publication 📑

Title: A Survey of Machine Learning Methodologies for Loan Evaluation in Peer-to-Peer (P2P) Lending

Authors: Yan Wang, Xuelei (Sherry) Ni

This book chapter provides a comprehensive overview of machine learning techniques applied to loan evaluation in P2P lending, exploring methodologies such as supervised learning, ensemble models, and deep learning to enhance credit risk assessment and investment decision-making

Conclusion

Yan Wang is an exceptional candidate for the Best Researcher Award, with an impeccable academic record, innovative research, and real-world industry contributions in data science, finance, and machine learning. Strengthening publication output and expanding interdisciplinary collaborations will further enhance their research impact.