Noman Shakoor | Soil science | Research Excellence Award

Dr. Noman Shakoor | Soil Science | Research Excellence Award

Shenzhen University | China

Noman Shakoor is a dedicated Ph.D. scholar at China Agricultural University specializing in environmental science, with a strong research focus on the fate, transport, and biological interactions of lithium in environmental systems. His work integrates environmental chemistry, contaminant agroecology, plant (nano)ecotoxicology, and plant–microbe interactions to better understand lithium behavior across terrestrial ecosystems. He has demonstrated expertise in nanomaterial characterization using XRD, FTIR, DLS, zeta potential analysis, and electron microscopy–EDX, along with advanced metal detection in biological tissues via ICP-MS. His research capabilities also include RNA isolation and qRT-PCR, phytoremediation of contaminated soils, soil physicochemical and microbial biomass analysis, biomarker assessment in plants and earthworms, and evaluation of root exudates and rhizosphere microbial communities under stress conditions. He has conducted extensive studies on earthworm survival, toxicity, behavior, gut microbial communities, and metabolic responses in polluted environments. His scholarly output comprises 61 research documents published in leading peer-reviewed journals, accumulating 2,727 citations. With an h-index of 28, his work reflects strong scientific impact and consistent contributions to high-quality environmental research, positioning him well for advanced researcher or permanent roles in environmental and ecological sciences.

Citacian Metrics (Scopus)

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Citations
2,727

Documents
61

h-index
28

Citations

Documents

h-index

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Airborne Microplastics Accumulation in Plant Leaves and Associated Food Safety Risks


– Trends in Plant Science


Synergistic Effects of Phenylalanine and Biochar in Alleviating Cadmium Stress and Restoring Morpho-Physiological Traits of Maize (Zea mays) in Contaminated Agricultural Soil


– Ecotoxicology and Environmental Safety


Mercury-induced alterations in soil microbiome: A potential for microbiome stewardship to remediate contaminated soils

– Journal of Cleaner Production


Non-Leguminous Green Manures in Enhancing Labile Phosphorus Availability and Crop Yield: A Global Meta-Analysis


– Soil and Tillage Research


Environmental and Safety Implications of Nanotechnology in Genetically Modified Crops for Sustainable Agriculture


– Physiologia Plantarum

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.

 

💼Experience

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.