• PhD Persuing

• M.Tech, Geotechnical Engineering NIT Durgapur

• B.Tech, Gaya College of engineering

• More than 6 years of teaching experience

• Reliability Analysis of Earth Retaining Structures

• Structural Health Monitoring of Deep Foundations

• Dynamic Load Assessment of Piles Using GMR Sensors

• Magnetic Signal-Based Stress Analysis of Pile Foundations

• Predictive Modelling of High-Performance Concrete

• Soil Stabilization

• Stabilization of Expansive Soils for Pavement Subgrades

• Kumar, N., Bharti, A., Islam, M., and Kumar, S., "Probabilistic Reliability Analysis of Cantilever Retaining Walls Using an Enhanced Extreme Gradient Boosting Paradigm", Transportation Infrastructure Geotechnology (Q2), Volume: 13 (4), Year: 2026. DOI: https://doi.org/10.1007/s40515-026-00836-4

• Bharti, A., Kumar, S., Kumar, N., et al., "Interpretable hybrid metaheuristic-optimized Gaussian process regression for predicting ultra-high-performance concrete compressive strength", Asian Journal of Civil Engineering (Q2), Volume: 27, Year: 2026. DOI: https://doi.org/10.1007/s42107-026-01696-6

• Kumar, N., Bharti, A., and Kumar, S., "Reliability-based mix design of high-strength concrete using hybrid ANN–metaheuristic models with Monte Carlo simulation", Asian Journal of Civil Engineering (Q2), Year: 2026. DOI: https://doi.org/10.1007/s42107-026-01770-z

• Bharti, A., Kumar, N., and Kumar, S., "Transferability of Machine-learning Models for Subgrade Resilient Modulus Across Soils and Databases using FHWA-LTPP and Literature Data", Transportation Infrastructure Geotechnology (Q2), Volume: 13, Year: 2026. DOI: https://doi.org/10.1007/s40515-026-01049-5

• Kumar, N., Bharti, A., Kumar, S., and Choudhary, S., "Predictive Modelling of Geogenic Arsenic in the Indo-Gangetic-Brahmaputra Alluvial Region: Source-Authenticated Station Data and Geographic Transfer Validation", Groundwater for Sustainable Development (Q1), Volume: 35, Article: 101695, Year: 2026. DOI: https://doi.org/10.1016/j.gsd.2026.101695

• Bharti, A., Kumar, N., and Kumar, S., "Source-aware machine learning for stabilised expansive soils", Proceedings of the Institution of Civil Engineers - Ground Improvement (Q2), Volume: 179, Year: 2026. DOI: https://doi.org/10.1680/jgrim.26.00040