Published on 22/08/202522/08/2025 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. Xingyu Xiao | Research Excellence | Innovative Research Award | 2397
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.