Ajoy Paul | Plant Disease Modelling | Best Researcher Award

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Mr. Ajoy Paul | Plant Disease Modelling | Best Researcher Award

Research Fellow | Bangladesh University of Engineering and Technology | Bangladesh

Mr. Ajoy Paul is a highly accomplished professional in Structural and Geotechnical Engineering, distinguished for his dedication to advanced Plant Disease Modelling integration within engineering systems and sustainable development frameworks. His academic journey, marked by degrees in Civil, Structural, and Geotechnical Engineering from renowned institutions, reflects his deep commitment to technical precision and innovation. With extensive professional experience across construction, industrial, and academic sectors, Mr. Paul has contributed significantly to design optimization, risk analysis, and performance modelling, consistently incorporating Plant Disease Modelling approaches to enhance environmental resilience in infrastructure planning. His teaching and research engagements as Associate Professor have further expanded the practical understanding of Plant Disease Modelling in civil structures, bridging engineering mechanics with sustainability science. Recognized by global professional institutions and supported by multiple research collaborations, his work demonstrates exceptional analytical and computational skill, especially in modeling interactions between soil mechanics and environmental stress factors using Plant Disease Modelling principles. His numerous publications on seismic vulnerability, soil-structure interactions, and foundation stability underscore his scientific rigor and contribution to advancing safe, sustainable construction methodologies. Mr. Paul’s Plant Disease Modelling expertise, combined with leadership in multidisciplinary teams, exemplifies innovation, precision, and excellence in engineering research and education. Google Scholar profile of 32 Citations, 2 i10 index, 1 h-index.

Profile: Google Scholar

Featured Publications

1. Alam, M. J., Khan, M. A. R., & Paul, A. (2008). Seismic vulnerability assessment of existing RC buildings in GIS environment. Online Proceedings of the Fourteenth World Conference on Earthquake Engineering (WCEE).

2. Alam, M. J., Ahsan, R., Akhter, F., & Paul, A. (2008). Earthquake resistant non-engineered building construction for rural area in Bangladesh. Proceedings of the 14th World Conference on Earthquake Engineering, 1–8.

3. Paul, A., Islam, M. S., Jotisankasa, A., & Progga, S. T. (2025). Influence of rainfall infiltration and hydraulic conductivity on hillslope stability. Geotechnical and Geological Engineering, 43(300), 24.

4. Ihosan, M. F., & Paul, A. (2022). Development of soil water characteristic curve for coarse-grained soil in comparison with mathematical model. 5th Annual Paper Meet & 2nd Civil Engineering Congress, 29–30 July 2022.

5. Paul, A. (2015). Effect of foundation soil stiffness on dynamic behavior of RC frame building. Department of Civil Engineering (CE).

Prof. Hani Saber Sayed Saudy | Plant Disease Modelling | Best Researcher Award

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Prof. Hani Saber Sayed Saudy | Plant Disease Modelling | Best Researcher Award

Professor | Ain Shams Unversity | Egypt

Prof. Hani Saber Sayed Saudy, an eminent Egyptian scholar from Ain Shams University’s Agronomy Department, has established himself as a pioneering figure in Crop Production, Physiology, and Management, with a remarkable dedication to Plant Disease Modelling. Throughout his academic journey, Prof. Saudy’s contributions to Plant Disease Modelling have redefined agricultural practices, integrating advanced physiological understanding with computational simulation of plant responses to environmental stresses. His educational foundation in Agronomy, crowned with a PhD from Ain Shams University, empowered him to apply Plant Disease Modelling concepts across diverse fields including biotic and abiotic stress analysis, crop optimization, and weed dynamics. Professionally, he has held several academic and consultative roles, combining research excellence with leadership in laboratory and field-based programs centered around Plant Disease Modelling. His research portfolio, comprising numerous international publications and patents, reflects a consistent focus on how Plant Disease Modelling supports sustainable productivity in stress-prone ecosystems. Recognized among Stanford’s Top 2% of World Scientists, Prof. Saudy’s awards highlight his scientific rigor and innovative work. His technical expertise spans simulation modeling, agronomic data analysis, and biostatistical evaluation within the framework of Plant Disease Modelling, ensuring his studies remain globally relevant. In conclusion, Prof. Hani S. Saudy exemplifies the fusion of theory and applied research, continually advancing Plant Disease Modelling as a tool for sustainable agricultural resilience and productivity enhancement. His Google Scholar Citations: 3537, h-index: 40, i10 index: 65.

Profile: Google Scholar

Featured Publications

1. Noureldin, N. A., Aboelghar, M. A., Saudy, H. S., & Ali, A. M. (2013). Rice yield forecasting models using satellite imagery in Egypt. The Egyptian Journal of Remote Sensing and Space Science, 16(1), 125–131.

2. Abd–Elrahman, S. H., Saudy, H. S., El–Fattah, D. A. A., & Hashem, F. A. E. (2022). Effect of irrigation water and organic fertilizer on reducing nitrate accumulation and boosting lettuce productivity. Journal of Soil Science and Plant Nutrition, 22(2), 2144–2155.

3. Noureldin, N. A., Saudy, H. S., Ashmawy, F., & Saed, H. M. (2013). Grain yield response index of bread wheat cultivars as influenced by nitrogen levels. Annals of Agricultural Sciences, 58(2), 147–152.

4. Makhlouf, B. S. I., Khalil, S. R. A. E., & Saudy, H. S. (2022). Efficacy of humic acids and chitosan for enhancing yield and sugar quality of sugar beet under moderate and severe drought. Journal of Soil Science and Plant Nutrition, 22(2), 1676–1691.

5. El–Metwally, I., Geries, L., & Saudy, H. (n.d.). Interactive effect of soil mulching and irrigation regime on yield, irrigation water use efficiency and weeds of trickle–irrigated onion. Archives of Agronomy and Soil Science, 68(8), 1103–1116.