Baljeet Yadav

About

Assistant Professor in Civil Engineering specializing in steel structures, structural stability, and plate girders.
Research focuses on buckling behavior and the application of machine learning techniques for predicting shear capacity
and optimizing structural performance. Currently working on data-driven modeling, parametric analysis, and development
of simplified predictive design approaches for stiffened steel plate girders.

Employment

• Rajkiya Engineering College Mainpuri ASSISTANT PROFESSOR
  2017 - Present

Education

• National Institute of Technology Hamirpur M.TECH
  2012 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Parametric analysis and optimized shear capacity prediction of stiffened steel plate girders using hybrid machine learning algorithms
  Asian Journal of Civil Engineering 2026 DOI: 10.1007/s42107-026-01690-y
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• Advances in the buckling and stability analysis of plate girders: A comprehensive review
  Next Research 2026 DOI: 10.1016/j.nexres.2025.101178
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• Statistical modeling and optimization of waste glass-based paver block properties
  Next Materials 2025 DOI: 10.1016/j.nxmate.2025.101236
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• Prediction of the shear capacity of stiffened steel plate girders using machine learning algorithms
  Asian Journal of Civil Engineering 2025 DOI: 10.1007/s42107-025-01470-0
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• Waste Glass Paver Blocks: A Sustainable AlternativeA Review of RSM Modelling and Analysis
  International Journal of All Research Education and Scientific Methods (IJARESM) 2025
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• Bacterial Solution in GGBS Concrete: A Sustainable Approach to Improving Properties
  Iranian Journal of Science and Technology Transactions of Civil Engineering 2025 DOI: 10.1007/s40996-025-01859-6
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• Utilization of Waste Tire Rubber in Concrete and Its Characteristics
  387ISBN: 978-81-19746-57-6Recent Advances in Civil, Mechanical & Electrical Engineering 2023
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• Comparative Study of Design of Cantilever Retaining Wall as Per ACI 318 & IS 456
  Research Square 2022 DOI: 10.21203/rs.3.rs-2341974/v1
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• Use of nano-materials to enhance the properties of asphalt mixes
  Materials Today: Proceedings 2022 DOI: 10.1016/j.matpr.2022.05.043
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• Computational Fluid Dynamics And Machine Learning For Predictive Analysis In Turbomachinery
  Nanotechnology Perceptions
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