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Seyid Amjad Ali

Asst. Prof. Dr

Bilkent University

Turkey

Research Interests

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Professors in Turkey

Articles (20)

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2026

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2026

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2024

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Seyid Amjad Ali

Research Interests

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Articles (20)

Integrated optimization of Lantana camara-based biopesticide for Sitophilus granarius control: Chemical profiling, residual efficacy, and machine-learning-driven decision support

Metal-organic frameworks (MOF)-mediated improvement of cotton germination and early seedling resilience under salinity stress through explainable machine learning and non-destructive terahertz time-domain spectroscopy (THz-TDS)

Machine learning-driven modelling and optimization of callus induction and biomass accumulation in Lavandula × intermedia

CAPITAL FLOWS VOLATILITY AND SYSTEMIC RISK IN EMERGING MARKETS: A CASE OF TÜRKİYE

Genetic Diversity, Population Structure, Integration of Genome-Wide Association Studies and Machine Learning for Antibacterial Trait Analysis in the Mediterranean Spice Laurel (<i>Laurus nobilis</i>)

Integrating Taguchi design and machine learning models for trait stability and predicting forage quality in naturally occurring grass pea (Lathyrus spp.)

Machine learning and design of experiment for enhanced biomass using N2 and CO2-enriched biochar at different pyrolysis temperatures

Chitosan nanoparticles induced germination and auxin-related gene regulations in cotton (Gossypium hirsutum L.) using random forest-based multi-output regression analysis

Optimizing biomass production and antioxidant dynamics in Ceratophyllum demersum L. using multi-walled carbon nanotubes and machine learning models

Multivariate analysis and machine learning prediction of Sorghum cultivar traits under nitrogen regulation

Biostimulant effect of seaweed extracts on micropropagation of important ground macrophyte Micranthemum tweediei and data-driven insights using machine learning and response surface regression

Artificial intelligence-driven validation of silver and titanium nanomaterials impact on morpho-chemical potential of industrial hemp (Cannabis sativa L.)

Machine Learning‐Driven Screening of Promising Mutants in <i>Nilgirianthus ciliatus</i> Callus Cultures for Enhanced Phytochemicals Production

Exploring Temporal Machine Learning Approaches for Predicting Methane Discharge in Atmospheric Studies

Precision in vitro propagation by integrating response surface methodology and machine learning for Glossostigma elatinoides (Benth) Hook. F

Synergistic application of artificial intelligence and response surface methodology for predicting and enhancing in vitro tuber production of potato (Solanum tuberosum)

Machine learning models for optimization, validation, and prediction of light emitting diodes with kinetin based basal medium for in vitro regeneration of upland cotton (Gossypium hirsutum L.)

Machine learning modeling and response surface methodology driven antioxidant and anticancer activities of chitosan nanoparticle-mediated extracts of Bacopa monnieri

Genetic algorithms assisted machine learning algorithms to optimize nano-phytoremediation of cadmium designed by response surface methodology

Phosphate-solubilizing fungus (PSF) - mediated phosphorous solubilization and validation through Artificial intelligence computation

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