xiaolan liu | Soil | Best Researcher Award

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Dr. xiaolan liu | Soil | Best Researcher Award

Dr. Xiaolan liu, Tianjin Chengjian University, China

Dr. Xiaolan Liu is a lecturer at Tianjin Chengjian University, China, specializing in road and airport engineering. Her research focuses on non-destructive testing of road structures, runway performance in permafrost regions, and sponge city infrastructure. She has led multiple national and municipal research projects and published extensively in international journals. Dr. Liu has received several prestigious awards, including honors from the China Highway Society and the China Civil Aviation Authority, recognizing her contributions to transportation engineering.

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Summary:

Dr. Xiaolan Liu’s research addresses a highly relevant and pressing issue in civil and geotechnical engineering, particularly for regions experiencing extreme climates. By focusing on the cooling effects of ventilation subgrades, Dr. Liu is advancing techniques to protect infrastructure in permafrost regions, which is crucial in the context of global climate change. Their work also contributes to the development of better construction practices for frozen soil areas.

🎓 Education

Xiaolan Liu is currently pursuing her Ph.D. at Nanjing University of Aeronautics and Astronautics, specializing in Highway and Railway Engineering under the School of Civil Aviation. Simultaneously, she is enrolled in another Ph.D. program in Civil Engineering at Southwest Forestry University, School of Transportation Engineering. She earned her Master’s degree in Highway and Railway Engineering from the Civil Aviation University of China and has maintained a consistent academic focus on infrastructure engineering throughout her education.

đź’ĽExperience

Liu has led and contributed to numerous high-impact research projects, including those funded by the National Natural Science Foundation of China and municipal research initiatives. Her roles as principal investigator and advisor on projects dealing with permafrost roadbed settlement, freeze-thaw effects on clay roadbeds, and rigid pavement performance under aircraft loading have established her as a leading expert in infrastructure performance under extreme environmental conditions. She currently serves as a lecturer and actively mentors research teams on structural mechanics and pavement engineering.

🔬Research Focus

Liu’s research primarily centers on the theory and application of non-destructive testing for road structures, engineering solutions for airport runways in permafrost areas, and the development and implementation of sponge city infrastructure. Her work addresses real-world challenges in runway performance under aircraft loading and extreme climatic conditions, making substantial contributions to both civil aviation safety and cold-region infrastructure sustainability.

🛠️Skills

Liu possesses advanced skills in structural modeling, dynamic load analysis, non-destructive testing, permafrost engineering, and pavement material characterization. She is proficient in conducting both field experiments and laboratory testing, complemented by analytical and simulation expertise for evaluating roadbed and runway performance in challenging environments.

🏆Awards

Her academic excellence and research innovations have been recognized through numerous prestigious awards. These include the Second Prize of the Science and Technology Award from the China Highway Society in 2023, the Tianjin Municipal Teaching Achievement Award in 2022, and the China Civil Aviation Science and Technology Achievement Award the same year. She is also a recipient of multiple national scholarships, including those for undergraduate and graduate excellence, and has been honored as an Excellent Graduate Student by both her universities.

đź“š Publications

  • Study on the cooling effect of the parallel perforated ventilation subgrade in permafrost regions based on the numerical model

    • Authors: X. Liu, Xiaolan; C. Fu, Chuanwei; X. Cheng, Xinglei

    • Year: 2025

    • Journal: PLoS ONE

  • Study on applicability of parallel perforated ventilation subgrade to the runway in frozen soil regions

    • Authors: X. Liu, Xiaolan; C. Fu, Chuanwei; C. Lv, Chao

    • Year: 2025

    • Journal: AEJ – Alexandria Engineering Journal

Conclusion:

Dr. Liu is a strong candidate for the Best Researcher Award due to their innovative approach and contributions to permafrost engineering. With improvements in citation impact and broader engagement, their research could have a more profound influence on both academia and real-world applications in the field of sustainable infrastructure development.

Muhammad Amin | Geostatistics in Soil Science | Best Researcher Award

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Dr. Muhammad Amin | Geostatistics in Soil Science | Best Researcher Award

 Dr. Muhammad Amin, Department of Statistics, Pakistan

Dr. Muhammad Amin is an Associate Professor in the Department of Statistics at the University of Sargodha, Pakistan. He holds a Ph.D. in Statistics from Bahauddin Zakariya University, Multan. His research interests include Regression Analysis, Generalized Linear Models, Influence Diagnostics, and Statistical Learning. Dr. Amin has supervised numerous M.Phil. students and co-supervised Ph.D. research scholars. With over 90 research papers and significant citations, he has made valuable contributions to applied statistics. He is also skilled in various statistical software tools such as R, Matlab, SPSS, and Minitab.

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Summary:

Dr. Muhammad Amin is a highly accomplished Associate Professor in the Department of Statistics at the University of Sargodha, Pakistan, with a strong academic background and an impressive record of research in statistical methods. His expertise, leadership in research supervision, and contributions to the field of applied statistics make him a strong candidate for the Research for Best Researcher Award.

 

🎓 Education

Dr. Muhammad Amin holds a Ph.D. in Statistics from Bahauddin Zakariya University, Multan, Pakistan (2016), an M.Phil. in Statistics from the same university (2011), and an M.Sc. in Statistics (2006). He completed his B.Sc. from Bahauddin Zakariya University in 2004, and his HSSC and SSC from BISE, Multan in 2002 and 1998, respectively.

 

đź’ĽExperience

Dr. Amin is currently an Associate Professor at the Department of Statistics, University of Sargodha, since July 2024. He previously served as an Assistant Professor at the same department from January 2018 to July 2024 and was the Incharge of the department from May 2019 to December 2021. Before his academic career, he worked as a Lecturer at Govt. College for Boys Makhdoom Aali, Lodhran (2009-2018) and a Visiting Lecturer at Bahauddin Zakariya University (2010-2018). He also worked as a Six Sigma Executive at Mehr Dastagir Group of Industries PVT. Ltd. in Multan from 2006 to 2008.

 

🔬Research Focus

Dr. Muhammad Amin’s research interests lie in Regression Analysis, Generalized Linear Models, Influence Diagnostics, Biased Estimation Methods, Statistical Learning, and Applied Statistics. His work has contributed significantly to the fields of statistical methods and their applications.

 

Awards

Dr. Amin was a Gold Medalist in his M.Phil. Statistics program. He has also gained significant recognition through his research output, with 93 research papers, 1249 citations, an h-index of 20, and an i10-index of 34.

Skills

Dr. Amin is proficient in a variety of statistical software tools, including R, Mathematica, Matlab, JMP, Minitab, SPSS, Statgraphics, and Sigma XL. These tools are integral to his work in statistical analysis and modeling.

 

Publications

  • New ridge parameter estimators for the quasi-Poisson ridge regression model
    • Shahzad, A., Amin, M., Emam, W., Faisal, M.
    • Published in Scientific Reports, 2024, 14(1), 8489

 

  • Stein estimation in the Conway-Maxwell Poisson model with correlated regressors
    • Sami, F., Amin, M., Aljeddani, S.M.A.
    • Published in International Journal of Advanced and Applied Sciences, 2024, 11(7), pp. 49–56

 

  • Liu Estimation Method in the Zero-Inflated Conway Maxwell Poisson Regression Model
    • Amin, M., Ashraf, B., Siddiqa, S.M.
    • Published in Journal of Statistical Theory and Applications, 2024

 

  • A ridge estimation method for the Waring regression model: simulation and application
    • Noor, A., Amin, M., Amanullah, M.
    • Published in Communications in Statistics: Simulation and Computation, 2024

 

  • Exploring Spatial Variability and Yield-Determining Factors in Cotton Production: A Multivariate Analysis
    • Afzal, S., Hayat, A., Amin, M., Afzal, A., Gardezi, S.
    • Published in Communications in Soil Science and Plant Analysis, 2024, 55(20), pp. 3117–3132

 

  • Performance of Alternative Estimators in the Poisson-Inverse Gaussian Regression Model: Simulation and Application
    • Ashraf, B., Amin, M., Mahmood, T., Faisal, M.
    • Published in Applied Mathematics and Nonlinear Sciences, 2024, 9(1), 20241493

 

  • New ridge parameter estimators for the zero-inflated Conway Maxwell Poisson ridge regression model
    • Ashraf, B., Amin, M., Akram, M.N.
    • Published in Journal of Statistical Computation and Simulation, 2024, 94(8), pp. 1814–1840

Conclusion:

Dr. Amin’s achievements and ongoing contributions to the field of statistics position him as an exemplary researcher in his field. His extensive publication record, mentoring capabilities, and proficiency in statistical software make him a deserving candidate for the Research for Best Researcher Award. By addressing potential areas for improvement, such as expanding international collaborations and engaging in emerging research fields, he can further elevate his impact in the academic community.