Jianjun Jiao | Mathematics | Best Researcher Award

Prof. Dr. Jianjun Jiao | Mathematics | Best Researcher Award

Guizhou University of Finance and Economics China

Jian-Jun Jiao, Ph.D., is a distinguished Professor of Applied Mathematics at the School of Mathematics and Statistics, Guizhou University of Finance and Economics, China. With a robust academic career spanning over a decade, he has made significant contributions to differential equations and mathematical modeling in biological and ecological systems. His research, widely recognized in the academic community, has led to over 100 peer-reviewed publications and nearly 2000 citations.

Profile

Research Gate 

Orcid

Education 🎓

  • Ph.D. in Applied Mathematics – Dalian University of Technology, May 2008
  • M.S. in Fundamental Mathematics – Guangxi Normal University, June 2005
  • B.S. in Mathematical Education – Shaoyang University, July 1997

Professional Experience 🌍

  • Professor, School of Mathematics and Statistics, Guizhou University of Finance and Economics (2008–Present)
  • Research/Teaching Assistant, Guizhou University of Finance and Economics (2006–2008)
  • Postdoctoral Research Associate, Applied Mathematics, Huazhong University of Science and Technology (2009–2011)

Research Interests 🔬

  • Theories of Differential Equations
  • Mathematical Modeling in Biology, Epidemics, and Ecology

Honors and Awards 🏆

  • Communication Review Expert, National Science Foundation of China (2013–Present)
  • Senior Professional & Technical Title Evaluation Expert, Guizhou Province (2019–Present)
  • Provincial Management Expert, Guizhou Province (2019)
  • Core Expert, Guizhou Province (2021)

Publications Top Notes: 📚

Jiao, J., Liu, Z., Cai, S. (2020). Dynamics of an SEIR model with infectivity in incubation period and homestead-isolation on the susceptible. Applied Mathematics Letters, 107, 106442. DOI

Jiao, J., Quan, Q., Dai, X. (2022). Dynamics of a new impulsive predator–prey model with predator population seasonally large-scale migration. Applied Mathematics Letters, 132, 108096. DOI

Jiao, J., Liu, Z., Li, L., Nie, X. (2019). Threshold dynamics of a stage-structured single population model with non-transient and transient impulsive effects. Applied Mathematics Letters, 97, 88-92. DOI

Jiao, J., Chen, L., Cai, S., Wang, L. (2010). Dynamics of a stage-structured predator–prey model with prey impulsively diffusing between two patches. Nonlinear Analysis: Real World Applications, 11, 2748-2756. DOI

Jiao, J., Cai, S., Chen, L. (2011). Analysis of a stage-structured predator-prey system with birth pulse and impulsive harvesting at different moments. Nonlinear Analysis: Real World Applications, 12, 2232-2244. DOI

Modelling and analysis of periodic impulsive releases of the Nilaparvata lugens infected with wStri-Wolbachia

Survival Analysis of a Predator–Prey Model with Seasonal Migration of Prey Populations between Breeding and Non-Breeding Regions

Survival analysis of a stochastic impulsive single-species population model with migration driven by environmental toxicant

Shaohua Xu | Mathematics | Best Researcher Award

Mr. Shaohua Xu | Mathematics | Best Researcher Award

PhD candidate Nankai University China

Shaohua Xu is a Ph.D. candidate in Statistics at Nankai University, China. With a strong foundation in statistical methodologies and robust experimental designs, he excels in advancing subsampling techniques and online control experiments. His work reflects a dedication to innovative solutions for complex statistical challenges.

Profile

Scopus

 

Education 🎓

  • Ph.D. in Statistics (2019–2025*, Advisor: Prof. Yongdao Zhou)
    • Nankai University, Tianjin, China
  • B.S. in Statistics (2015–2019, Advisor: Assoc. Prof. Benchong Li)
    • Xidian University, Xi’an, China

Experience 🛠️

Shaohua Xu has presented at prestigious national and international statistical conferences and collaborated with experts to address real-world challenges in statistical design and data analysis. He also contributes through teaching assistance and mentoring at Nankai University.

Research Interests 🔍

  • Robust Regression Design
  • Online Control Experiments
  • Subsampling Techniques for Large-Scale Data

Awards & Honors 🏆

  • 2024: Poster Award, International Chinese Statistical Association China Conference
  • 2023: Best Paper Award, 2nd International Workshop on Statistical Theory and Related Fields
  • 2023: Zhong Jiaqing Outstanding Paper Award, 24th Beijing-Tianjin-Hebei Young Scholars Symposium
  • 2023: Second Prize, Academic Symposium on Uniform Design, Chinese Mathematical Society
  • 2020 & 2022: Gongneng Scholarship, Nankai University
  • 2018: National Scholarship & SAS China Analytics Championship Top 40

Publications Top Notes:📚

Xu, Shaohua, Liu, S., & Zhou, Y. (2024). MODE: Minimax Optimal Deterministic Experiments for Causal Inference in the Presence of Covariates. Entropy, 26(12), 1023. Link

Xu, Shaohua & Zhou, Y. (2024). Robust control experiments for multivariate tests with covariates and network information. Under review in Statistica Sinica.

Xu, Shaohua & Zhou, Y. (2024). Minimax designs for partially linear models. Under review in Journal of Statistical Planning and Inference.

Yang, J., Xu, Shaohua, Yang, Z., Zhang, A., & Zhou, Y. (2024). Stable subsampling under model misspecification and dataset shift. Under review in ACM Transactions on Knowledge Discovery from Data.

Xu, Shaohua, Zhou, Y., & Zhou, Z. (2024). Minimax designs for misspecified linear models. Submitted to Annals of Statistics.