Xin Huang | Finance | Best Researcher Award

Published on by China Scientist

Dr. Xin Huang | Finance | Best Researcher Award

Xin Huang is a PhD candidate at the School of Management, Xi’an University of Architecture and Technology. Her research focuses on public service equalization, digital inclusive finance, and regional development. She has published in international journals such as Scientific Reports, PLOS ONE, and the International Journal of Urban Sciences. Her interdisciplinary work bridges urban management and public health. Xin has received national and international recognition, including awards from the China Real Estate Innovation Competition and the U.S. Mathematical Modeling Contest. Her research provides data-driven insights to support equitable public service and sustainable regional policy.

Dr. Xin Huang | Xi’an University of Architecture and Technology | China

Profile

🎓Education

  • Xin Huang is currently pursuing a PhD in Management at the School of Management, Xi’an University of Architecture and Technology. Her academic journey has been focused on integrating interdisciplinary approaches to address public service equalization and regional development, with a particular emphasis on spatial analysis and policy impact. Her education has laid a strong foundation in urban management, public health, and regional economics.

👨‍🏫 Experience

  • Xin Huang has actively contributed to both academic and practical fields through her engagement in multiple research projects. She has completed or is involved in five academic research studies, and has also participated in an industry consultancy project. Through her collaborations with both domestic and international scholars, she has developed robust empirical models and analytical frameworks that explore digital inclusive finance and public service distribution. Her practical experience includes applied research, data modeling, and interdisciplinary investigation.

🤝 Awards and Recognition

  • Xin Huang’s academic excellence and innovation have been widely recognized. She received an Honorable Mention in the prestigious U.S. Collegiate Mathematical Modeling Competition, showcasing her analytical and problem-solving abilities. Her entrepreneurial and innovative spirit was further acknowledged through a first prize in the China Real Estate Innovation and Entrepreneurship Competition. She has also been honored as an Outstanding Graduate by the China Real Estate Industry Association, reflecting her exceptional performance in both research and leadership

💡Skills and Certifications

  • Xin Huang possesses advanced skills in spatial econometrics, statistical modeling, and regional policy analysis. She is proficient in applying entropy weight methods and Spatial Durbin Models to large-scale datasets, especially at the county level. Her interdisciplinary expertise enables her to explore connections between finance, public health, and urban development. Her collaborative experience with international researchers also demonstrates her strong communication and teamwork capabilities across cultural and academic boundaries.

🔬 Research Focus

  • Xin Huang’s primary research interests lie in the mechanisms and impacts of digital inclusive finance on public service delivery, with a special focus on regional heterogeneity across different parts of China. She constructs comprehensive indices for public service evaluation and explores the mediating and moderating mechanisms influencing service outcomes. Additionally, she integrates built environment analysis with public health research to promote equitable development. Her work provides actionable insights into improving public services and narrowing regional development gaps through data-driven strategies.

🌎Conclusion

  • Xin Huang is a highly capable emerging scholar whose academic and professional achievements reflect deep engagement with pressing public policy issues. Her work addresses complex socio-economic challenges through rigorous quantitative methods and interdisciplinary collaboration. With a strong record of research, recognition, and practical impact, she demonstrates the potential to contribute significantly to both academic knowledge and public sector innovation.

📖Publications

  • Nonlinear Dynamics and Mechanisms of Digital Inclusive Finance on County-Level Public Services in China: Threshold and Mediation Analyses
    Authors: Xin Huang, Vanessa Carels, Feng Lan
    Journal: PLOS ONE

  • The Impact and Moderating Mechanisms of Digital Inclusive Finance on Public Services in Chinese Counties
    Authors: Xin Huang, Feng Lan
    Journal: Scientific Reports

  • The Influencing Factors and Regional Heterogeneity of County-Level Public Services Quality in China
    Authors: Xin Huang, Feng Lan
    Journal: International Journal of Urban Sciences

  • Impact of the Built Environment on Residents’ Health: Evidence from the China Labor Dynamics Survey in 2016
    Authors: Feng Lan, Jingyu Pan, Yulin Zhou, Xin Huang, Yibin Ao
    Journal: Journal of Environmental and Public Health

Qizhou Sun | Quantitative Finance | Best Researcher Award

Published on by China Scientist

Dr. Qizhou Sun | Quantitative Finance | Best Researcher Award 

Qizhou Sun is a postdoctoral researcher at the Guangdong Institute of Intelligent Unmanned System specializing in artificial intelligence and image generation. He holds a PhD in Computer Science from the University of Macau, where his research focused on reinforcement learning algorithms for algorithmic trading. With a strong background in network engineering and software development, he has experience working in both industry and academia. Qizhou is also a certified Cisco Internet Expert (CCIE) and holds a Certificate in Quantitative Finance (CQF).

Dr. Qizhou Sun | Tianjin University | China

Profile

🎓Education

  • Qizhou Sun completed his PhD in Computer Science at the University of Macau from August 2018 to January 2024, focusing on reinforcement learning algorithms for algorithmic trading. Prior to that, he earned his Master’s degree in Computer Science at the same university with a research focus on data visualization between August 2016 and August 2018. He obtained his Bachelor’s degree in Computer Science and Technology from Nanjing University of Aeronautics and Astronautics, Jincheng College, where he studied from September 2009 to June 2013 and maintained a GPA of 4.0 out of 5. During his undergraduate years, he served as class monitor for four years and received multiple scholarships and honors including the National Inspirational Scholarship and First Class Scholarship.

👨‍🏫 Experience

  • Qizhou Sun has worked as a network engineer and team leader during his internship at Shanghai Jugeng Technology, handling core network deployments. He then served as a network engineer and sales specialist at Nanjing Nuojia Technology, supporting network security for the 2014 Youth Olympic Games. Later, he was a network security engineer at Nanjing Nanrui Information and Communication Technology, designing power security networks and contributing to provincial and national science awards. From 2019 to 2022, he worked as a Java software developer at Industrial and Commercial Bank of China, independently developing banking transaction systems. Currently, he is a postdoctoral researcher at Guangdong Institute of Intelligent Unmanned System, focusing on AI and image generation.

🤝Awards and Honors

  • During his academic career, Qizhou Sun was awarded the National Inspirational Scholarship twice and the First Class Scholarship three times. He was recognized as an Outstanding Student Cadre twice and honored as one of the Three Good Students twice during his undergraduate studies. He also contributed to projects that received provincial science and technology progress awards including the Qinghai Provincial Science and Technology Progress Award (third prize) and the Liaoning Provincial Science and Technology Progress Award (first prize).

💡Skills and Certifications

  • Qizhou Sun possesses strong skills in computer networking, quantitative financial analysis, machine learning, deep learning, reinforcement learning, and programming languages such as Java, Python, and C. He is experienced with Linux operating systems, databases, and microcontroller technology. His certifications include the prestigious Cisco Certified Internet Expert (CCIE) and The Certificate in Quantitative Finance (CQF).

🔬 Research Focus

  • His primary research focus lies in reinforcement learning algorithms applied to algorithmic trading. His scholarly work includes several significant publications on segmentation methods, decision trees for chart pattern classification, supervised actor-critic reinforcement learning, transaction-aware inverse reinforcement learning, attention-based behavioral cloning, and deep Q networks for financial trading. These works have been published in leading conferences and journals such as Springer’s International Conference on Database and Expert Systems Applications, Knowledge Science, Engineering and Management, Journal of Applied Intelligence, and Applied Soft Computing.

🌎Conclusion

  • Qizhou Sun is highly suitable for the “Best Researcher Award.” His strong publication history, interdisciplinary skills, innovative contributions, and real-world applications make him a standout candidate. His work not only advances academic theory but also contributes to solving practical problems in financial systems—precisely the kind of impact such an award aims to honor.

📖Publications

  • Deep Q Network with Action Retention for Going Long and Short Selling
    Authors: Qizhou Sun, Yain-Whar Si
    Journal: Applied Soft Computing

  • An Efficient Segmentation Method: Perceptually Important Point with Binary Tree
    Authors: Qizhou Sun, Yain-Whar Si
    Journal: Database and Expert Systems Applications (Book Chapter)

  • Customized Decision Tree for Fast Multi-resolution Chart Patterns Classification
    Authors: Qizhou Sun, Yain-Whar Si
    Journal: Knowledge Science, Engineering and Management (Book Chapter)