Tammineni Gnananandarao

Employment

Employment history is unavailable.

Education

• National Institute of Technology Hamirpur PhD
  2015 - 2020
• Andhra University B.E+M.E
  2008 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (30)

• Pavement condition index estimation from google street view images using distress detection and regression models
  Engineering Research Express 2026 DOI: 10.1088/2631-8695/ae660f
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• Analysing the Response of T-Shaped Rectangular Footing on Sloping Ground Through Finite Element Simulation
  2026 DOI: 10.1007/978-981-95-7952-5_8
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• Smart Cities, Smarter Solutions: AI for Urban Transformation
  Engineering Cyber-Physical Systems and Critical Infrastructures 2026 DOI: 10.1007/978-3-031-95240-1_1
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• Overview of machine learning in civil engineering
  2026 DOI: 10.1108/978-1-83662-866-820261001
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• Compressive response of concrete-filled double-skin steel elliptical tubular columns: A hybrid finite element and machine learning approach
  Mechanics of Advanced Materials and Structures 2025 DOI: 10.1080/15376494.2025.2582069
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• Advanced Machine Learning and Optimization for Erodibility Prediction of Treated Unsaturated Lateritic Soil
  Sustainable Intelligent Infrastructure 2025 DOI: 10.62762/SII.2025.839324
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• Developing data driven framework to model earthquake induced liquefaction potential of granular terrain by machine learning classification models
  Scientific Reports 2025 DOI: 10.1038/s41598-025-07494-5
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• Advanced Multilayer Perception Model for Predicting Soil Behavior Types with Cone Penetration Test Data
  2025 DOI: 10.1007/978-981-96-9529-4_11
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• Forecasting Bearing Capacity Error Analyses and Parametric Analysis of Circular Footing Seating on the Limited Thick Sand-Layer with Eccentric-Inclined Load
  Civil Engineering Infrastructures Journal 2024 DOI: 10.22059/ceij.2024.365671.1966
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• Estimation of the erodibility of treated unsaturated lateritic soil using support vector machine-polynomial and -radial basis function and random forest regression techniques
  Cleaner Materials 2022 DOI: 10.1016/j.clema.2021.100039
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