Academic and Professional Background

Dr. Rui holds advanced degrees in Economics and Finance from prestigious institutions, including Oklahoma State University and the University of Houston. He has held significant academic positions, including a tenured professorship at the Chinese University of Hong Kong and currently serves as a Professor of Finance and Accounting at CEIBS. Additionally, he holds professional designations as a Certified Financial Analyst (CFA) and Financial Risk Manager (FRM).

Teaching and Leadership

He has taught a variety of courses at top universities such as Tsinghua University, Hong Kong Polytechnic University, and Shanghai National Institute of Accounting. Dr. Rui has also been recognized for his teaching excellence, receiving awards for his contributions to education, including the Faculty Teaching Award at CUHK and the Teaching Excellence Award at CEIBS.

Research Excellence

Dr. Rui has an extensive publication record with over 70 papers in reputable Economics, Finance, Accounting, and Management journals. His research covers a wide range of topics, including corporate governance, stock market dynamics, and behavioral finance. His work has had significant impact, with high citation counts and publications in top-tier journals like the Journal of Financial Economics and the Academy of Management Journal. He has also authored several textbooks, further contributing to his field.

Research focus

OM Rui’s research primarily focuses on corporate governance, stock market dynamics, and investor behavior, particularly within the context of emerging markets like China. His work explores ownership structures, CEO compensation, and gender diversity’s impact on corporate performance and fraud. Additionally, he investigates behavioral biases such as overconfidence and the disposition effect in trading, as well as the dynamic relationships between stock returns, trading volume, and volatility. His studies often provide empirical evidence from China, contributing to a deeper understanding of financial markets and governance mechanisms in emerging economies. 📊📈🌍

Conclusion

Given Dr. Rui’s extensive academic credentials, impactful research, teaching excellence, and professional leadership, he is a highly deserving candidate for the Best Researcher Award. His contributions to finance and accounting are both significant and influential, making him a standout in his field.

Faroque Ahmed | Quantitative Hypotheses | Best Researcher Award

Mr Faroque Ahmed, Ural Federal University, Russia, Russia

Faroque Ahmed is a PhD researcher at Ural Federal University, Russia 🇷🇺, specializing in development studies and financial economics 📊. He holds an M.Sc. and B.Sc. in Statistics from Islamic University, Kushtia-Jhinaidah, where he achieved top positions in his class 🥇. With research interests in quantile-based methods, VARs, data mining, and machine learning 🤖, he has served as a Senior Research Associate at the Bangladesh Institute of Governance and Management (BIGM) and as a Research Assistant at the Islamic University, working on credit card fraud detection. Faroque also boasts excellent academic achievements and IELTS proficiency 🏅📚.

Publication profile

Scopus

Education

📚 With a strong academic background, I hold a Master’s in Statistics from Islamic University, Kushtia-Jhinaidah, completed in 2015 with an ‘A’ grade and a CGPA of 3.91, securing first-class first position 🥇. My Bachelor’s in Statistics from the same university, completed in 2014, earned me an ‘A’ grade and a CGPA of 3.84, ranking second in first class 🥈. Prior to this, I excelled in Science, achieving a perfect GPA of 5.00 in both my Higher Secondary (2009) and Secondary (2006) School Certificates at New Govt. Degree College and Masjid Mission Academy, respectively 🌟.

Experience

Since 2022, the user has been a PhD Researcher at the Laboratory of International & Regional Economics (LIRE) at the Graduate School of Economics and Management (GSEM), Ural Federal University, Yekaterinburg, Russia 📚🌍. Concurrently, they have served as a Senior Research Associate at the Bangladesh Institute of Governance and Management (BIGM), affiliated with the University of Dhaka, since 2019 🏢🇧🇩. Previously, from 2016 to 2019, they worked as a Research Assistant at the Quantitative Financial Economic Development (QFED) Lab in the Dept. of Statistics at Islamic University, Kushtia, Bangladesh, focusing on credit card fraud detection using machine-learning algorithms under the supervision of Md. Altaf Hossain 💳🤖.

Research Interest

I am passionate about the fields of development studies and financial economics, focusing on advanced methodologies and data analysis. My expertise includes quantile-based methods, various types of VARs, and data mining techniques. I am proficient in leveraging machine learning and big data analysis for robust econometric modeling. Through these skills, I aim to contribute to the understanding and development of economic policies and practices. 📊💡🔍📉💻🔎

Awards

In 2017-18, I was awarded the UGC research grant for my master’s project on the socio-economic effects of remittance on Bangladeshi migrant households. Under the supervision of Md. Altaf Hossain, an Associate Professor at Islamic University, Kushtia, Bangladesh, I conducted extensive research in this area. Additionally, in 2017, I completed Big Data Analytics Training through the LICT project of the ICT Ministry, People’s Republic of Bangladesh. 📚🔍💼 The grant and training significantly enhanced my research capabilities and data analysis skills, contributing to my academic and professional growth. 📈🌏

Research focus

Faheem Ahmed’s research primarily focuses on the intersection of economics, environmental studies, and technological applications. His work includes examining the impact of geopolitical risks on global finance, analyzing the economic growth-environment nexus, and exploring the implications of AI technology on industrial outputs and energy consumption. Additionally, Ahmed delves into health outcomes influenced by governance and education, social distancing behaviors during Covid-19, and predictive modeling for air quality and credit card fraud detection. His interdisciplinary approach combines machine learning with economic and environmental analysis, reflecting a broad interest in sustainable development and risk management. 🌍📊💡🌱📉🔍.

Oli Rui | Quantitative Hypotheses | Best Researcher Award

Oli Rui | Quantitative Hypotheses | Best Researcher Award

Publication profile

Academic and Professional Background

Teaching and Leadership

Research Excellence

Awards and Recognition

Professional and Public Engagement

Research focus

Conclusion

Publication top notes