Muhammad Amin | Geostatistics in Soil Science | Best Researcher Award

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.

Xiaowen Zheng | Soil Amendments | Best Researcher Award

Ms. Xiaowen Zheng | Soil Amendments | Best Researcher Award

Ms. Xiaowen Zheng, Zhengzhou University, China

 

Ms. Xiaowen Zheng is a dedicated researcher at Zhengzhou University, China, specializing in civil engineering with a focus on soil site protection and reinforcement materials. She holds a Master’s degree in Civil Engineering from Zhengzhou University and a Bachelor’s degree from North China University of Water Resources and Electric Power. Her research includes innovative studies on freeze-thaw deterioration of soils and anti-weathering protection using advanced materials. She has contributed to prominent journals such as Coatings and has participated in significant heritage conservation and disaster prevention projects, showcasing her commitment to advancing engineering solutions for environmental and cultural preservation.

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Summary:

Ms. Xiaowen Zheng is an accomplished researcher with a clear focus on civil engineering solutions for environmental and cultural preservation. Her expertise in freeze-thaw-resistant materials and innovative use of nano-composites positions her as a strong contender for the Best Researcher Award. She has demonstrated both academic rigor and practical application in addressing critical engineering challenges.

 

🎓 Education

Xiaowen Zheng holds a Master’s degree in Civil Engineering from Zhengzhou University (2021–2024) and a Bachelor’s degree in Civil Engineering from North China University of Water Resources and Electric Power (2018–2020).

 

đź’ĽExperience

Xiaowen Zheng has participated in several key projects, including compiling slope protection schemes and designing renovation plans for heritage sites. Contributions to research include involvement in major projects like the China National Key Research and Development Program for Natural Disaster Prevention.

 

🔬Research Focus

Xiaowen Zheng focuses on soil site protection, freeze-thaw-resistant materials, and reinforcement technologies to improve stability and durability in seasonally frozen regions, especially using ZDS-2 organosilicon reinforcement agents.

 

Awards

Xiaowen Zheng has published significant research papers, such as on freeze-thaw deterioration and anti-weathering protection using advanced materials. This work has earned recognition in prominent journals.

 

Skills

Xiaowen Zheng possesses expertise in soil site protection, freeze-thaw cycle analysis, and reinforcement material innovation. Additional competencies include the design and investigation of slope protection and heritage conservation projects.

 

Publications

  • The Study on the Freeze–Thaw Deterioration of Soil Sites Modified with the ZDS-2 Organosilicon Reinforcement Agent
    • Authors: Zheng, X.; Ma, Q.; Yan, H.; Chang, X.; Guo, F.
    • Journal: Coatings
    • Year: 2024
    • Volume and Issue: 14(12), Article 1577
    • Citations: 0

 

  • Study on Anti-Weathering Protection of Excavated Ancient Stone Arch Bridge with Nano-Composites
    • Authors: Zhang, J.; Ma, Q.; Zheng, X.; Cheng, K.; Lang, R.
    • Journal: Coatings
    • Year: 2023
    • Volume and Issue: 13(11), Article 1898
    • Citations: 0

 

Conclusion:

Ms. Xiaowen Zheng is a highly suitable candidate for the Best Researcher Award. Her innovative research, practical contributions, and academic dedication make her a strong contender. However, to further solidify her candidacy, she could focus on increasing her citation impact, gaining broader professional recognition, and diversifying her research applications. These steps will enhance her already impressive credentials and contribute to her standing as a leading researcher in her field.