Jiawen Ye | Mathematics | Best Researcher Award

Ms. Jiawen Ye | Mathematics | Best Researcher Award

Undergraduate at China University of Geosciences(Beijing), China

Jiawen Ye is an ambitious third-year undergraduate student majoring in Mathematics and Applied Mathematics at the China University of Geosciences (Beijing). Her research focuses on time series analysis, mathematical modeling, and environmental protection, particularly water resource management and pollution control. She has co-authored two research articles in reputable journals, demonstrating her ability to apply advanced models such as SSA-CNN-Transformer-BiLSTM and ARIMA in forecasting wastewater flow. Jiawen has shown leadership in innovation, leading a nationally recognized College Students’ Innovation and Entrepreneurship Project. Her participation in the American Mathematical Contest in Modelling and various extracurricular roles highlights her versatility and commitment to excellence. She expresses deep gratitude to her mentor, Professor Haiying Wang, whose guidance has been instrumental in her development as a researcher. Jiawen’s academic achievements, coupled with her passion for solving real-world problems through mathematics, position her as a promising young scholar with significant potential in scientific research.

Professional Profile 

ORCID Profile 

Education

Jiawen Ye is currently pursuing her undergraduate studies at the China University of Geosciences (Beijing), majoring in Mathematics and Applied Mathematics. As a third-year student, she has demonstrated a strong academic foundation in both theoretical and applied mathematics, preparing her to tackle complex problems in interdisciplinary domains. Her educational journey reflects a balance between rigorous academic coursework and active engagement in research, which is rare at the undergraduate level. Jiawen’s mathematical training has been central to her growth as a young researcher, enabling her to develop models and predictive algorithms that address real-world challenges, especially in environmental science. Her ability to publish in peer-reviewed journals during her undergraduate studies is a testament to her academic maturity and determination. With access to a research-supportive academic environment and mentorship from distinguished faculty such as Professor Haiying Wang, Jiawen’s education has laid a solid groundwork for a future in advanced research and innovation.

Professional Experience

Although still an undergraduate, Jiawen Ye has acquired substantial research and leadership experience that mirrors early professional maturity. She led a nationally rated College Students’ Innovation and Entrepreneurship Project in 2024, which was recognized for its outstanding contribution. This leadership role involved project planning, research design, data analysis, and presentation—skills typically expected at a graduate or early-career researcher level. Jiawen also contributed as a judge in a university singing competition and served as director of her college’s literary department, organizing large-scale student events. These experiences reflect not only her strong organizational and evaluative skills but also her ability to manage diverse teams and responsibilities. Furthermore, her participation in high-level academic competitions like the American Mathematical Contest in Modelling (MCM) has honed her collaborative research and analytical problem-solving skills. While she does not yet have formal employment, her portfolio of research projects and leadership roles demonstrates strong professional readiness for future academic or industry research positions.

Research Interest

Jiawen Ye’s research interests lie at the intersection of mathematics, environmental science, and artificial intelligence. Her core focus includes time series analysis, mathematical modeling, and environmental protection. She has a keen interest in using advanced predictive models to forecast and manage water pollution and wastewater flow—critical issues in sustainable development. Her work integrates classical statistical methods like ARIMA with modern deep learning techniques, including CNN, Transformer, and BiLSTM architectures, to enhance forecasting accuracy. This blend of disciplines shows her aptitude for applying mathematical theories to practical, impactful problems. Moreover, her choice of research topics reflects a strong awareness of global environmental challenges and the role of data-driven solutions in addressing them. Jiawen’s interdisciplinary curiosity and capability make her research uniquely valuable, particularly in the emerging field of environmental informatics. Her scholarly output at such an early stage of her academic career speaks volumes about her commitment to research and scientific inquiry.

Award and Honor

Jiawen Ye has earned several honors that reflect her multifaceted talents and determination. Academically, she led a project in the 2024 College Students’ Innovation and Entrepreneurship Competition that earned a prestigious national-level “outstanding” rating. She also competed in the American Mathematical Contest in Modelling (MCM), showcasing her ability to apply mathematical thinking in real-world contexts. Outside academia, she received second prize in both the Ironman Triathlon (2025) and the Capital Universities Swimming Competition (2024), demonstrating resilience, discipline, and physical endurance. Her leadership roles in college—particularly as director of the literary department—and her judging role in university cultural competitions show a well-rounded character and excellent interpersonal skills. Additionally, her participation in the recording of the nationally televised Chinese Spring Festival Gala in 2019 reflects strong communication and public engagement abilities. These diverse achievements underscore her potential as a holistic leader in both academic and professional environments.

Conclusion

Jiawen Ye is an exceptional undergraduate student whose academic, research, and extracurricular achievements position her as a promising young researcher. Her early contributions to environmental data modeling, particularly in forecasting wastewater flow using hybrid AI techniques, reflect a sophisticated understanding of both theory and application. Despite being in the early stages of her academic journey, she has published two peer-reviewed articles, led a nationally recognized innovation project, and participated in high-level mathematical competitions. Her strong foundation in mathematics, combined with her passion for environmental protection and emerging technologies, signals a bright future in research and scientific leadership. Jiawen’s ability to balance academic excellence with extracurricular involvement and leadership roles showcases her as a well-rounded, driven, and impactful individual. With continued mentorship and research opportunities, she is well on track to make significant contributions to both academic and societal advancements. Jiawen Ye is a standout candidate for awards and further academic recognition.

Publications Top Notes

  • Title: ARIMA-Based Forecasting of Wastewater Flow Across Short to Long Time Horizons

  • Title: Enhancing Sewage Flow Prediction Using an Integrated Improved SSA-CNN-Transformer-BiLSTM Model

Huaqing Li | Mathematical analysis | Best Researcher Award

Prof. Huaqing Li | Mathematical analysis | Best Researcher Award

Professor, Southwest University, China

Professor Huaqing Li is a leading figure in the field of Electronic and Information Engineering at Southwest University, China. He holds a senior academic role as a professor and has been influential in shaping advancements in distributed optimization, swarm intelligence, and control systems. As Vice Dean of the College of Electronic and Information Engineering, he contributes to both administrative and academic leadership, with a strong focus on integrating theory and practical applications in cutting-edge research.

Profile

Scopus

Education 🎓

Professor Li began his academic journey with a Bachelor’s degree in Information and Computational Science from Chongqing University of Posts and Telecommunications (2005-2009). He went on to earn a Doctor of Science in Computer Science and Technology from Chongqing University (2009-2013), where he specialized in control theory and nonlinear circuits. His rigorous education laid the groundwork for his significant contributions to electronic engineering and multi-agent system optimization.

Experience 💼

Professor Li has accumulated extensive experience in academia and research. Since 2018, he has been a professor at Southwest University and currently serves as Vice Dean. His roles have included being the Director of the Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing and Deputy Director of the National Local Joint Engineering Research Center for Intelligent Transmission and Control Technology. With international experience as a Visiting Scholar at Texas A&M University, Qatar, his career spans research, teaching, and academic leadership.

Research Interests 🔍

Professor Li’s research focuses on swarm intelligence, distributed optimization, multi-agent systems, and nonlinear circuits. His work involves developing algorithms for control and optimization in complex networks and intelligent systems. He is particularly interested in applications of game theory, consensus dynamics, and asynchronous control mechanisms. This research has wide-reaching implications for the fields of cyber-physical systems and intelligent signal processing.

Awards and Honors 🏆

Professor Li’s academic excellence has been widely recognized with numerous prestigious awards. Some highlights include the Young Scholars Changjiang Scholar Award Program (2023), the First Prize in the Chongqing Association for Science and Technology’s Job Innovation Striving Action (2023), and Elsevier China’s Highly Cited Scholar (2020-2023). He has also been recognized globally, appearing in Top 2% of Global Scientists Rankings (2022-2023) and Top 100,000 Scientists with Global Academic Influence (2022).

Selected Publications 📚

Li, H., et al. “A Unified Approach to Chaos Suppressing and Inducing in a Periodically Forced Family of Nonlinear Oscillators.” IEEE Transactions on Circuits and Systems-I, 2012.

Li, H., Chen, G., Liao, X., Huang, T. “Attraction Region Seeking for Power Grids.” IEEE Transactions on Circuits and Systems-II, 2017.

Li, H., Zheng, L., Wang, Z., Ji, L., Xia, D. “Asynchronous Distributed Model Predictive Control for Optimal Output Consensus of High-Order Multi-Agent Systems.” IEEE Transactions on Signal and Information Processing over Networks, 2021.

Li, H., Liao, X., Lei, X., Huang, T., Zhu, W. “Second-Order Consensus Seeking in Multi-Agent Systems with Nonlinear Dynamics.” IEEE Transactions on Circuits and Systems-I, 2013.