Ms. Jiawen Ye | Analysis | Best Researcher Award

Ms. Jiawen Ye | Analysis | Best Researcher Award

Ms. Jiawen Ye , China University of Geosciences , China.

Ms. Jiawen Ye ๐ŸŽ“ is an enthusiastic undergraduate student majoring in Mathematics and Applied Mathematics at the China University of Geosciences (Beijing) ๐Ÿ“. With a strong passion for research, she explores time series analysis ๐Ÿ“ˆ, mathematical modeling ๐Ÿ”ฌ, and environmental protection ๐ŸŒŠ. Her work has already led to two published research articles in international journals ๐Ÿ“š. Outside of academics, she actively engages in sports ๐ŸŠโ€โ™€๏ธ, competitions ๐Ÿ†, and cultural events ๐ŸŽค. Guided by Professor Haiying Wang ๐Ÿ‘ฉโ€๐Ÿซ, Jiawen continues to grow as a dedicated researcher and vibrant member of the academic community ๐ŸŒŸ.

Professional Profile

Orcid

Education & Experience

  • ๐ŸŽ“ Undergraduate Student (2022โ€“2026)
    Major: Mathematics and Applied Mathematics
    China University of Geosciences (Beijing)

  • ๐Ÿง‘โ€๐Ÿซ Mentored by Professor Haiying Wang

  • ๐Ÿ“ Published 2 academic papers in international journals

  • ๐ŸŒ Active in research projects on environmental modeling and data analysis

Summary Suitability

Ms. Jiawen Ye, currently an undergraduate student in her third year at the School of Science, China University of Geosciences (Beijing), is an exceptionally driven and promising young researcher. As a candidate for the Best Researcher Award, she demonstrates a rare blend of academic excellence, innovative research, and cross-disciplinary initiativeโ€”traits that mark her as a rising star in mathematical and environmental sciences.

Professional Development

Ms. Jiawen Ye ๐Ÿ“˜ is deeply engaged in professional and academic development through hands-on research and competition experience. She has authored two journal papers in mathematical modeling and environmental forecasting ๐Ÿง ๐Ÿ“Š. Her leadership role in a nationally recognized innovation and entrepreneurship competition ๐Ÿ… and participation in global contests like MCM ๐ŸŒ demonstrate her commitment to excellence and collaboration. Jiawen is also an effective communicator and event organizer ๐ŸŽค๐Ÿ“…, developing strong interpersonal and organizational skills. She continues to seek opportunities to expand her knowledge and practical abilities across both academic and extracurricular domains ๐Ÿ“ˆโœจ.

Research Focus

Ms. Jiawen Yeโ€™s research focus falls under Applied Mathematics in Environmental Systems ๐Ÿ“๐ŸŒฑ. Her work integrates time series analysis โณ, advanced machine learning models ๐Ÿค–, and mathematical simulations ๐Ÿ”ข to solve real-world problems like wastewater flow forecasting ๐Ÿšฐ and pollution control ๐Ÿงช. Combining computational precision with ecological concern, she aims to contribute to sustainable environmental management โ™ป๏ธ. Her interdisciplinary approach bridges mathematics, computer science ๐Ÿ’ป, and environmental science ๐ŸŒ, with an emphasis on practical, data-driven solutions that enhance water resource protection and policy development ๐Ÿ“‰๐Ÿงญ.

Awards & Honors

  • ๐Ÿฅˆ Second Prize โ€“ Ironman Triathlon Competition (2025)

  • ๐ŸŽค Judge โ€“ Top Ten Singers Competition, Beijing Printing University (2025)

  • ๐Ÿ† Leader โ€“ National Outstanding Rating, College Innovation Project (2024)

  • ๐Ÿ“Š Participant โ€“ American Mathematical Contest in Modelling (2024)

  • ๐Ÿฅˆ Second Prize โ€“ Capital Universities Swimming Competition (2024)

  • ๐Ÿ“ Director โ€“ Literary Department, Event Organizer (2023)

  • ๐Ÿ“บ Performer โ€“ Chinese Spring Festival Gala National TV (2019)

Publication Top Notes

๐Ÿ“ 1. ARIMA-Based Forecasting of Wastewater Flow Across Short to Long Time Horizons
  • Journal: Mathematics

  • Publication Date: June 26, 2025

  • Type: Journal Article

  • DOI: 10.3390/math13132098

  • ISSN: 2227-7390

  • Authors: Jiawen Ye, Xulai Meng, Haiying Wang, Qingdao Zhou, Siwei An, Tong An, Pooria Ghorbani Bam, Diego Rosso

  • Publisher: MDPI

  • Indexing: SCIE, Scopus, MathSciNet, Zentralblatt MATH

  • Keywords: ARIMA, time series, wastewater forecasting, long-term prediction, environmental modeling

๐Ÿ“ 2. Enhancing Sewage Flow Prediction Using an Integrated Improved SSA-CNN-Transformer-BiLSTM Model
  • Journal: AIMS Mathematics

  • Publication Year: 2024

  • Type: Journal Article

  • DOI: 10.3934/math.202411310

  • ISSN: 2473-6988

  • Authors: Jiawen Ye, Lei Dai, Haiying Wang

  • Publisher: AIMS Press

  • Indexing: ESCI, Scopus, MathSciNet

  • Keywords: SSA, CNN, Transformer, BiLSTM, sewage prediction, hybrid deep learning, time series

Conclusion

Jiawen Yeโ€™s rapidly developing research portfolio, innovative problem-solving skills, and deep commitment to academic and environmental progress make her an outstanding nominee for the Best Researcher Award. Her demonstrated ability to produce impactful work at the undergraduate level signals a strong trajectory toward future scientific leadership and meaningful societal contributions.

 

Haowen Huang | Chemical and Bioanalysis | Best Researcher Award

Prof. Haowen Huang | Chemical and Bioanalysis | Best Researcher Award

Hunan University of Science and Technology, China

๐Ÿ‘จโ€๐ŸŽ“Profile

๐ŸŽ“ Early Academic Pursuits

Haowen Huang earned his Ph.D. in Analytical Chemistry from the Institute of Chemistry, Chinese Academy of Sciences, in 2004, following his M.S. in Analytical Chemistry from Hunan University in 1999. His early academic journey laid a strong foundation in analytical chemistry, with a focus on the development of advanced chemical and biosensing methods.

๐Ÿ‘จโ€๐Ÿซ Professional Endeavors

He is currently a Professor at the School of Chemistry and Chemical Engineering at Hunan University of Science and Technology, a position he has held since 2011. Prior to this, he served as an Associate Professor at the same institution from 2006 to 2011. His professional career is marked by a commitment to advancing the field of analytical chemistry, particularly in the development of novel biosensors and nanomaterials.

๐Ÿ”ฌ Contributions and Research Focus

His research primarily focuses on the development of biosensors and analytical platforms using noble metal nanomaterials, such as gold nanoparticles, nanoclusters, and carbon dots, for the detection of biomolecules like proteins, nucleic acids, and small molecules. He has also worked extensively on surface plasmon resonance (SPR) systems, applying SPR imaging to enhance molecular recognition capabilities. His work in nanomaterials and advanced analytical techniques plays a key role in applications across biomedical diagnostics, environmental monitoring, and single-cell analysis.

๐ŸŒ Impact and Influence

His contributions have had a significant impact on the fields of analytical chemistry and biosensor development. His pioneering work with gold nanorods and nanoclusters for multiplex detection of disease markers and heavy metals has positioned him as a leader in the field. Additionally, his developments in SPR imaging systems have advanced chiral recognition and biomolecular interaction studies, further enhancing the molecular diagnostics landscape.

๐Ÿ“š Academic Cites

Although specific citation numbers are not provided, Dr. Huang's research has been widely acknowledged in the scientific community, evidenced by his work's application in major areas of biosensing, diagnostics, and environmental monitoring. His work continues to influence new developments in the synthesis and application of nanomaterials.

๐Ÿ› ๏ธ Technical Skills

He is an expert in the synthesis and characterization of nanomaterials, particularly gold and carbon-based nanoclusters. He is highly proficient in the fabrication of optical biosensors and in the use of surface plasmon resonance imaging systems. His expertise extends to the development of advanced analytical methods for complex biological media, which is crucial for a variety of applications in diagnostics and environmental monitoring.

๐Ÿ“š Teaching Experience

As a professor, He teaches courses in Analytical Chemistry and Instrumental Analysis, in addition to supervising laboratory courses. He mentors graduate and undergraduate students, guiding research projects that focus on the synthesis of nanomaterials and their application in biosensor development. His teaching fosters innovation in the next generation of researchers in the fields of analytical chemistry and biosensing technologies.

๐Ÿ† Legacy

His legacy lies in his contributions to the development of cutting-edge biosensor technologies and nanomaterial applications. His work has shaped the field of molecular detection and bioanalytics, particularly in terms of how nanomaterials can be integrated into diagnostic tools for disease detection and environmental monitoring.

๐Ÿ”ฎ Future Contributions

Looking ahead, He is poised to continue his groundbreaking work in the development of next-generation biosensors and analytical techniques. His research will likely advance the use of nanomaterials in precision medicine, single-cell analysis, and real-time environmental monitoring. His expertise in SPR imaging and nanomaterials synthesis is expected to drive further innovation in these rapidly evolving fields.

๐Ÿ“–Notable Publications