Tanveer Habib

About

I am a PhD candidate in Structural Engineering at the National Institute of Technology Srinagar, specializing in interface shear transfer in reinforced concrete. My research focuses on push-off tests, finite element modeling (FEM) using Abaqus, and machine learning (ML) applications for predicting shear strength. I have worked extensively on the role of steel fibers, PFCS fibers, and Alccofine-1203 in enhancing shear performance. My studies incorporate Machine learning concepts like XGBoost, LSTM, and Explainable AI (XAI) approaches to improve predictive accuracy and interpretability. I aim to advance knowledge in interface behavior, shear friction, and hybrid reinforcement systems for sustainable structural design.

Employment

• National Institute of Technology Srinagar Research scholar
  2020 - 2025

Education

• Jamia Millia Islamia M.Tech
  2017 - 2019
• IUST B.Tech
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (4)

• Use of AutoML platform for prediction of interface shear strength of reinforced concrete push-off tests
  Australian Journal of Structural Engineering 2026 DOI: 10.1080/13287982.2025.2468087
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• Effectiveness of Premix Flat Crimped Steel Fibers as Reinforcement in Concrete Shear Applications: An Experimental Study
  Journal of Testing and Evaluation 2025 DOI: 10.1520/JTE20240451
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• INFLUENCE OF DEICER OLUTIONS ON MICROSTRUCTURE AND COMPRESSIVE STRENGTH OF CONCRETE IN SUB-ZERO ENVIRONMENTS
  Indian Concrete Journal 2024
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• Compressive Strength and Microstructural Properties of Sustainable Concrete Containing Nanosilica Alccofine and Metakaolin
  Civil Engineering Infrastructures Journal 2023 DOI: 10.22059/ceij.2023.348240.1866
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