Md. Akram Hossain

Md. Akram Hossain

Structural Engineer & Researcher specializing in Façade Engineering, FEA-based Computational Mechanics, and Machine Learning Surrogate Models. Check out the research, blog and my professional projects' portfolio pages.

Computational Mechanics & FEA​

Non-linear stress analysis, hyperelastic modeling, and finite element verification using Abaqus, RFEM, and SAP2000.​

Specialized Façade Engineering​

Structural glass (ASTM E1300), aluminum extrusions (ADM 2015), and complex anchorage system design under extreme wind loads.​

Engineering Automation & Software​

Custom Python/C++ tool development (FAD software) to automate complex structural calculations and reporting workflows.​

AI & Machine Learning in Engineering​

Developing neural network surrogate models (BPNN) to predict material behavior and optimize structural connections.​

Featured Research & Publications

Compressive Strength Prediction for Industrial Waste-Based SCC Using Artificial Neural Network

Md Akram Hossain, Islam, G. M. S., & Amit Mallick. (2022). Compressive Strength Prediction for Industrial Waste-Based SCC Using Artificial Neural Network. Journal of the Civil Engineering Forum, 9(1), 11-26. https://doi.org/10.22146/jcef.4094

Key Metrics & Methodology:

  • Architecture: 9-25-1 Back-Propagation Neural Network (BPNN) via Levenberg-Marquardt algorithm
  • Performance: R² = 0.9835 | RMSE = 2.4503 | MAPE = 0.0347
  • Dataset: Evaluated global database of 354 mix proportions incorporating industrial waste (fly ash & silica fume)

Improvement of Concrete Breakout Strength of Anchor bolt Ongoing

In collaboration with Arman Engineering Ltd. & CUET.

Methodology & Focus:
Non-linear finite element modeling (Abaqus) and experimental testing of post-installed anchors near thin slab edges (125 mm thickness).

Key Innovations:
Evaluating supplementary hairpin reinforcement detailing and Fiber-Reinforced Concrete (FRC) matrix modifications to suppress concrete breakout failure cones and reduce edge-distance penalties.

AI Integration:
Developing machine learning surrogate models to predict failure loads under combined shear-tension interaction.

Latest Blog

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Professional Projects

Trade Inter-Continental (TIC) Dhaka

Trade Inter-Continental (TIC) Dhaka

The facade system of Trade Inter-continental (TIC), Dhaka is a Semi-unitized system. This project in ...

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BRAC University New Campus

BRAC University New Campus

The facade system of the BRAC University New Campus, Dhaka is a Semi-unitized system. This project i ...

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World Trade Center Chittagong

World Trade Center Chittagong

The facade system of the World Trade Center, Chittagong is a Semi-unitized system. This project incl ...

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