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Fahim Shahriyar Aditto
Observed names:
Aditto, Fahim Shahriyar,
Fahim Shahriar Aditto
Institutions:
University of Hawaiʻi at Mānoa,
Khulna University of Engineering and Technology
Observed institutions:
University of Hawaiʻi at Mānoa,
Khulna University of Engineering and Technology
OpenAlex ID:
A5092637633
Assessment of mechanical properties with machine learning modeling and durability, and microstructural characteristics of a biochar-cement mortar composite
2023
·
Md. Habibur Rahman Sobuz
, Mahmudur Hossain Khan
, et al.
·
Construction and Building Materials
·
120
Assessing the influence of sugarcane bagasse ash for the production of eco-friendly concrete: Experimental and machine learning approaches
2023
·
Md. Habibur Rahman Sobuz
, Al-Imran
, et al.
·
Case Studies in Construction Materials
·
109
Eco-friendly concrete incorporating palm oil fuel ash: Fresh and mechanical properties with machine learning prediction, and sustainability assessment
2023
·
Noor Md. Sadiqul Hasan
, Md. Habibur Rahman Sobuz
, et al.
·
Heliyon
·
89
Fresh, mechanical and microstructural behaviour of high-strength self-compacting concrete using supplementary cementitious materials
2023
·
Fahim Shahriyar Aditto
, Md. Habibur Rahman Sobuz
, et al.
·
Case Studies in Construction Materials
·
87
Assessment of mechanical, durability and microstructural performance of sulphate-resisting cement concrete over portland cement in the presence of salinity
2024
·
Ayan Saha
, Tanjil Morshed Tonmoy
, et al.
·
Construction and Building Materials
·
68
High-Strength Self-Compacting Concrete Production Incorporating Supplementary Cementitious Materials: Experimental Evaluations and Machine Learning Modelling
2024
·
Md. Habibur Rahman Sobuz
, Fahim Shahriyar Aditto
, et al.
·
International Journal of Concrete Structures and Materials
·
62
PDF
Analysis of the characteristics and environmental benefits of rice husk ash as a supplementary cementitious material through experimental and machine learning approaches
2024
·
Shuvo Dip Datta
, Md. Mamun Sarkar
, et al.
·
Innovative Infrastructure Solutions
·
60
High-temperature effect on the mechanical behavior of recycled fiber-reinforced concrete containing volcanic pumice powder: An experimental assessment combined with machine learning (ML)-based prediction
2024
·
Jannat Ara Jabin
, Md. Tareq Hossain Khondoker
, et al.
·
Construction and Building Materials
·
59
Optimization of recycled rubber self-compacting concrete: Experimental findings and machine learning-based evaluation
2024
·
Md. Habibur Rahman Sobuz
, Limon Paul Joy
, et al.
·
Heliyon
·
58
Mechanical Properties and Flexural Response of Palm Shell Aggregate Lightweight Reinforced Concrete Beam
2023
·
Md. Habibur Rahman Sobuz
, Md. Saiful Islam
, et al.
·
Sustainability
·
28
PDF
Experimental investigation on fresh, hardened and durability characteristics of partially replaced E-waste plastic concrete: A sustainable concept with machine learning approaches
2025
·
Md. Hamidul Islam
, Zannatun Noor Prova
, et al.
·
Heliyon
·
24
Experimental assessment and machine learning quantification of structural eco-cellular lightweight concrete incorporating waste marble powder and silica fume
2025
·
Md. Kawsarul Islam Kabbo
, Md. Habibur Rahman Sobuz
, et al.
·
Journal of Building Engineering
·
23
Comparative performance evaluation of quartz and snail shell powders modified concrete: Mechanical, machine learning, and microstructural assessments
2025
·
Md. Habibur Rahman Sobuz
, Md. Kanan Chowdhury Tilak
, et al.
·
Journal of Materials Research and Technology
·
18
Analysis of waste glass as a partial substitute for coarse aggregate in self-compacting concrete: An experimental and machine learning study
2024
·
Ayan Saha
, Fahim Shahriyar Aditto
, et al.
·
Journal of Building Engineering
·
18
Correction: High-Strength Self-Compacting Concrete Production Incorporating Supplementary Cementitious Materials: Experimental Evaluations and Machine Learning Modelling
2024
·
Md. Habibur Rahman Sobuz
, Fahim Shahriyar Aditto
, et al.
·
International Journal of Concrete Structures and Materials
·
5
PDF
Experimental and Machine Learning Strategies with SHAP and PDP Analysis of Self-Healing Characteristics of Bio-concrete Using Bacillus Cereus and Steel Slag
2026
·
Iffat Jahan Chowdhury
, Ayan Saha
, et al.
·
International Journal of Concrete Structures and Materials
·
2
Experimental and Machine Learning Analysis of High‐Strength Concrete Incorporating Waste Slag and Recycled Steel Fiber
2025
·
Maria Binte Mannan
, Julia Sultana
, et al.
·
Advances in Civil Engineering
·
1
PDF
Supervised machine learning driven analysis of compressive strength in concrete incorporating sustainable sludge with SHAP and PDP analyses
2026
·
Mohammad Alharthai
, Fahim Shahriyar Aditto
, et al.
·
Matéria (Rio de Janeiro)
Effectiveness of Sulphate-Resistant Cement in Saline Environments: A Comparative Study with Ordinary Portland Cement
2026
·
Ayan Saha
, Fahim Shahriyar Aditto
·
Lecture notes in civil engineering
List of contributors
2025
·
Sofian Abdullah
, Adeyemi Adesina
, et al.
·
Elsevier eBooks
Performance enhancement of waste products used as aggregate in the construction industry
2025
·
Md. Habibur Rahman Sobuz
, Fahim Shahriar Aditto
, et al.
·
Elsevier eBooks
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Works count:
23
Citation count:
831
H-index:
14
I10-index:
14
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