Li Yu | Research Excellence | Best Researcher Award

Published on by Scientist Day

Prof. Li Yu | Research Excellence | Best Researcher Award

Prof. Li Yu | Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences | China

Dr. Yu Li is a distinguished Research Fellow at the Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), specializing in Food Science and Technology with a strong emphasis on mycotoxin prevention, detection, and safety assurance in agricultural products. Her research integrates advanced analytical techniques and immunological approaches to develop innovative detection systems for food contaminants. She has successfully led and participated in more  major national and provincial research projects, including those funded by the National Key R&D Program of China and the National Natural Science Foundation of China (NSFC). Her pivotal role in the award-winning project “Development of Targeted Antibodies and Ultrasensitive Detection Technologies for Aflatoxins in Agricultural Products” earned her team the Second-Class Prize of the National Technical Invention Award . Recognized for her excellence, Dr. Li has been selected for the Outstanding Young Talent Cultivation Program of OCRI-CAAS and the “Young Top Talent” Program of Hubei Province. Beyond her research, she contributes to scientific development as a Guest Editor for Molecules and as a member of the Science and Technology Expert Database of the Hubei Provincial Department of Science and Technology.

Profiles:  ORCID | ResearchGate

Featured Publications

Tang, F., Ma, F., Wang, D., Fang, M., Zhang, L., Li, P., & Yu, L. (2025). Highly efficient detoxification of aflatoxin B1 in peanut meals by attapulgite-supported laccase. Food Control, 164, 111759. https://doi.org/10.1016/j.foodcont.2025.111759

Ma, F., He, Y., Tang, F., Fu, L., Zhang, L., Li, P., & Yu, L. (2025). In-situ stabilization of conjugated microporous polymer on sieve plates for multifunctional applications: Detection and removal of aflatoxins. Journal of Hazardous Materials, 478, 139457. https://doi.org/10.1016/j.jhazmat.2025.139457

Liu, M., Wang, X., Yang, Y., Tu, F., Yu, L., Ma, F., Wang, X., Jiang, X., Dou, X., Li, P., & others. (2025). Authentication of edible oil by real-time one class classification modeling. Foods, 14(7), 1235. https://doi.org/10.3390/foods14071235

Dou, X., Tu, F., Yu, L., Yang, Y., Ma, F., Wang, X., Wang, D., Zhang, L., Jiang, X., & Li, P. (2024). Adulteration detection of edible oil by one-class classification and outlier detection. Food Frontiers, 5(1), Article e395. https://doi.org/10.1002/fft2.395

Huang, F., Liu, A., Fang, M., Wang, D., Yu, L., Ma, F., Wang, X., Zhang, L., & Li, P. (2024). Characteristic volatile flavors of high-oleic peanut oil and normal peanut oil. Microchemical Journal, 199, 110389. https://doi.org/10.1016/j.microc.2024.110389

Caroline Neuberg | Research Excellence | Best Researcher Award

Published on by Scientist Day

Dr. Caroline Neuberg | Research Excellence | Best Researcher Award

Leeds Trinity University | United Kingdom

Dr. Caroline Neuberg is a dedicated science educator and researcher whose career bridges physical volcanology and transformative science education. With a PhD in Physical Volcanology, international postdoctoral experience, and leadership roles in both academia and schools, she has consistently advanced innovative approaches to science teaching. Her pioneering work in establishing school seismometer networks in New Zealand and England has brought real-world research into classrooms, inspiring young learners to engage with authentic scientific inquiry. A Fellow of the Higher Education Academy and Chartered Science Teacher, she was recognized with the Royal Astronomical Society’s Sir Patrick Moore Medal for Education, underscoring her exceptional impact on science communication and education.

Profile: Orcid

Featured Publications

Neuberg, C. M. A., Davies, A., & Nourshargh, E. M. (2025). The elephant in the science staff room: An investigation into the mathematical skills and confidence of pre-service science teachers. International Journal of Science Education, 47(11), 2557601.

Charles Andre Nieves | Research Excellence | Young Researcher Award

Published on by Scientist Day

Mr. Charles Andre Nieves | Research Excellence | Young Researcher Award 

University Of The Immaculate Conception | Philippines

Charles Andre F. Nieves, LPT, MAEM, is a licensed professional teacher, researcher, and academic leader with a distinguished record of excellence in education, research, and international collaboration. A Cum Laude graduate of the University of the Immaculate Conception, he has earned a Master of Arts in Educational Management, pursued advanced studies in language teaching and research methodologies, and gained international exposure through programs in Malaysia and Indonesia. With teaching experience spanning basic education and higher education—including his current role as a College Linguist Professor and International Office Coordinator—he combines expertise in educational management, linguistics, and curriculum development. His contributions include published research on artificial intelligence in teaching, ongoing cross-linguistic studies, and leadership in student organizations, training workshops, and international academic events. Recognized with numerous awards for excellence, leadership, and service, he continues to advance innovations in teaching, research, and global education partnerships.

Profile: Orcid

Featured Publications

Nieves, C. A. F., Baldonado, C. C., Mamonong, V. H., Aytong, N. E., Muslim, A. B., & Ja’afar, S. B. (2025). Cognate relations of basic lexical inventory development among Filipino, Indonesian, and Malay languages. Cogent Arts & Humanities, 12(1), 2549404.

Yihang Zhong | Research Excellence | Best Researcher Award

Published on by Scientist Day

Mr. Yihang Zhong | Research Excellence | Best Researcher Award

Chinese University of Hong Kong | China

Jimmy (Yihang Zhong) is an emerging scholar in linguistics and psycholinguistics whose research bridges theoretical inquiry and experimental practice. His work focuses on first and second language acquisition, morpho-syntactic and semantic processing, and the cognitive mechanisms underlying language in both typical and atypical populations. With publications in leading SSCI and Scopus-indexed journals, ongoing high-impact peer-reviewed submissions, and international conference presentations, he has already established a strong academic presence early in his career. His training across Hong Kong, Australia, and China, combined with hands-on experience in neurolinguistics and fMRI research at Shenzhen University, demonstrates his interdisciplinary expertise and global outlook. Complemented by technical proficiency, translation skills, and active science communication, Jimmy stands out as a promising researcher contributing meaningfully to the advancement of cognitive and linguistic sciences.

Profile: Orcid

Featured Publications

“Asperger writers’ attention and awareness in written production”

“Aspect in telicity acquisition: Evidence from Mandarin children”

“Effects of syntactic role on L1 & L2 processing of pronoun resolution”

“From generative hierarchicality to parallel-dialogic syntax: Modeling typological protolanguage”

“L2 cognitive construal & morpho-syntactic acquisition of pseudo-passive construction”

“Aspect in telicity acquisition: Evidence from Mandarin children”

“Can the Galilean ideal of formal linguistics be sustained?”

Xingyu Xiao | Research Excellence | Innovative Research Award | 2397

Published on by Scientist Day

Dr. Xingyu Xiao | Research Excellence | Innovative Research Award

Dr. Xingyu Xiao | Tsinghua University | China

Xingyu Xiao is a doctoral researcher in Reliability Engineering and Safety Analysis at Tsinghua University, with a strong background in safety engineering from the University of Science and Technology Beijing. His research focuses on risk-informed decision support, human reliability analysis, and the integration of artificial intelligence, large language models, and graph neural networks into nuclear safety and emergency response. With numerous high-impact publications in journals such as Reliability Engineering & System Safety, Energies, and Risk Analysis, he has also contributed to open datasets and advanced frameworks for safety assessment. Recognized with top honors including the Tanzhen Scholar Award, National Scholarships, and multiple Best Paper Awards, Xiao is emerging as a promising young scholar bridging reliability engineering with cutting-edge AI technologies.

Academic Profile 

Scopus | Google Scholar

Education

Dr. Sheng Xiao pursued his academic training in biochemistry and molecular biology, where he gained a strong foundation in cellular processes, molecular signaling, and the interface of traditional medicine with modern biomedical science. His education emphasized both theoretical knowledge and hands-on experimental research, allowing him to develop expertise in advanced laboratory techniques, molecular genetics, and translational applications. This strong academic background laid the groundwork for his future contributions in aging research, intestinal regeneration, and the therapeutic value of natural compounds.

Experience

Dr. Xiao is currently affiliated with the Navy Medical University, where he has advanced through academic and research roles with increasing responsibility. He has successfully led major projects funded at institutional, provincial, and national levels, serving as a principal investigator and collaborator in multidisciplinary teams. His experience covers research into brain–gut interactions, nuclear protein function in cancer biology, and natural medicine applications for age-related diseases. Beyond laboratory research, he has contributed to scientific societies, taken up editorial responsibilities, and engaged in collaborative programs that strengthen the global exchange of biomedical knowledge.

Research Interests

His research is centered on the molecular basis of intestinal stem cell regulation, gut regeneration, and aging-related disorders. He is deeply interested in how natural compounds derived from traditional Chinese medicine influence molecular pathways such as Keap1–Nrf2 and srebp-mediated regulation. By integrating experimental models with translational perspectives, his work bridges the gap between fundamental molecular biology and clinical application. Additionally, he explores the brain–gut axis, aiming to understand the systemic mechanisms that link neurobiology, intestinal health, and therapeutic interventions.

Awards

Dr. Xiao has received recognition for his contributions through prestigious awards in scientific meetings, academic forums, and institutional honors. His poster presentations at international congresses and achievements in traditional medicine research have highlighted his innovative and impactful approaches. He has also been honored with distinguished scholar recognition for his leadership and excellence in research. These awards reflect his growing influence in the field and his continued commitment to advancing biomedical science for the benefit of both academia and healthcare.

Publications

Enhancing LOCA breach size diagnosis with deep learning

Author: X. Xiao, B. Qi, J. Liang, J. Tong, Q. Deng, P. Chen
Journal: Energies
Year: 2023

MixedGaussianAvatar: Realistically and geometrically accurate head avatar via mixed 2D-3D Gaussian splatting

Author: P. Chen, X. Wei, Q. Wuwu, X. Wang, X. Xiao, M. Lu – arXiv
Journal: preprint
Year: 2024

KRAIL: A knowledge-driven framework for base human reliability analysis integrating IDHEAS and large language models

Author: X. Xiao, P. Chen, B. Qi, H. Zhao, J. Liang, J. Tong, H. Wang
Journal: preprint
Year: 2024

Multimodal learning using large language models to improve transient identification in nuclear power plants

Author: B. Qi, J. Sun, Z. Sui, X. Xiao, J. Liang
Journal: Progress in Nuclear Energy
Year: 2024

A dynamic risk-informed framework for emergency human error prevention in high-risk industries: A nuclear power plant case study

Author: X. Xiao, B. Qi, S. Liu, P. Chen, J. Liang, J. Tong, H. Wang
Journal: Reliability Engineering & System Safety
Year: 2025

A national risk analysis model (NRAM) for the assessment of COVID-19 epidemic

Author:  Q. Deng, X. Xiao, L. Zhu, X. Cao, K. Liu, H. Zhang, L. Huang, F. Yu, H. Jiang, …
Journal: Risk Analysis
Year: 2023

Conclusion

Dr. Sheng Xiao’s groundbreaking research, leadership in prestigious projects, and commitment to advancing biochemistry and molecular biology make him an outstanding candidate. His contributions have not only deepened scientific understanding but also paved the way for innovative therapeutic applications, positioning him as a highly suitable recipient of the Innovative Research Award.