Furquan Ahmad

About

Furquan Ahmad is a researcher specializing in geotechnical engineering with a focus on slope stability, probabilistic analysis, and the application of machine learning in civil engineering. He completed his Ph.D. at NIT Patna under the guidance of Prof. Pijush Samui. His research integrates advanced computational techniques, such as hybrid machine learning models and optimization algorithms, for assessing slope stability under static and seismic conditions. With over 11 publications in reputed journals, including Journal of Mountain Science and Scientific Reports, Dr. Ahmad has contributed significantly to risk assessment and design methodologies in geotechnical engineering. He also has expertise in teaching Soil Mechanics and Advanced Foundation Engineering and aims to expand his work to reliability-based designs and spatial variability modeling in the future

Employment

• National Institute of Technology Patna

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (35)

• Machine Learning Models for Soil Liquefaction Predictions Using Cone Penetration Dataset
  Lecture Notes in Civil Engineering 2026 DOI: 10.1007/978-981-95-8015-6_14
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• System-level reliability evaluations of CRWs under static conditions through SCM and hybrid ensemble learning
  Discover Civil Engineering 2026 DOI: 10.1007/s44290-026-00565-0
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• Reliability Analysis of Onshore Wind Turbine Raft Pile Foundation Using FEM and FOSM
  Lecture Notes in Civil Engineering 2026 DOI: 10.1007/978-981-96-9120-3_18
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• Prediction of Bearing Capacity of Shallow Foundations on Cohesive-Frictional Soils Using Artificial Neural Networks
  Lecture Notes in Civil Engineering 2026 DOI: 10.1007/978-981-95-8015-6_12
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• Performance Analysis of Lime-Treated Geogrid-Reinforced Silty Sand for Rectangular Footings Using Experimental and Computational Approaches
  TRANSPORTATION INFRASTRUCTURE GEOTECHNOLOGY 2026 DOI: 10.1007/S40515-026-00907-6
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• Interpretable Evolutionary Optimized XGBoost Framework for Predicting Shear Strength Parameters of Rock
  TRANSPORTATION INFRASTRUCTURE GEOTECHNOLOGY 2026 DOI: 10.1007/S40515-026-00866-Y
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• Integrated Ensemble Learning for Enhanced Accuracy in Satellite-Derived Bathymetry of Shallow Coastal Zones
  JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING 2026 DOI: 10.1007/S12524-025-02297-7
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• Improved estimation of flexible pavement alligator fatigue cracks using hybrid gradient boosted models
  INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING 2026 DOI: 10.1080/10298436.2026.2666862
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• Hybrid random forest-based models for estimating punching shear strength of flat slabs
  STRUCTURAL ENGINEERING AND MECHANICS 2026 DOI: 10.12989/SEM.2026.97.2.183
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• External Stability of Reinforced Soil Retaining Wall Using System Reliability-Aided Soft Computing Technique
  ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2026 DOI: 10.1007/S13369-025-10804-8
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