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  1. Influence of mechanically activated LC3 materials on the structural integrity and hydration phases stability of MPC mortar in water environments

    Article • Journal of Building Engineering, April 2026, Elsevier

    Dr. MD ARIFUZZAMAN

  2. Deep learning-based modeling of sulfur-extended asphalt (SEA) properties: a novel computational framework

    Article • PeerJ Computer Science, March 2026, PeerJ

    Dr. MD ARIFUZZAMAN

  3. Evaluating Campus Open Spaces Through the Campus Open Space Index (COSI)—A Case Study of IIT Roorkee and IIT Delhi, India

    Article • Sustainability, March 2026, MDPI AG

    Dr. MD ARIFUZZAMAN

  4. Mathematical Modeling and Sustainable Optimization of Rubberized Asphalt Mix Design Using Deep Learning Approach

    Article • Processes, February 2026, MDPI AG

    Dr. MD ARIFUZZAMAN

  5. Performance Evaluation of Asphalt Concrete Incorporating Polyethylene Terephthalate-Coated Steel Slag Using Marshall Stability, Indirect Tensile Strength, and Moisture Susceptibility Tests

    Article • Processes, September 2025, MDPI AG

    Dr. MD ARIFUZZAMAN

  6. Lignocellulosic Waste-Derived Nanomaterials: Types and Applications in Wastewater Pollutant Removal

    Article • Water, August 2025, MDPI AG

    Dr. MD ARIFUZZAMAN

  7. Harnessing Lignocellulosic Wastes for Nanomaterial Innovation: Advancing Sustainable Wastewater Treatment Technologies

    Article • May 2025, MDPI AG

    Dr. MD ARIFUZZAMAN

  8. Predicting Indirect Tensile Strength of Rejuvenated Asphalt Mixes Using Machine Learning with High Reclaimed Asphalt Pavement Content

    Article • Processes, May 2025, MDPI AG

    Dr. MD ARIFUZZAMAN

  9. Automated Vehicles: Are Cities Ready to Adopt AVs as the Sustainable Transport Solution?

    Article • Sustainability, March 2025, MDPI AG

    Dr. MD ARIFUZZAMAN

  10. Ethical AI Development: Safeguarding Society Against Deepfakes, Misinformation, and Employment Displacement

    Article • January 2025, Springer Science + Business Media

    Dr. MD ARIFUZZAMAN

  11. Multilingual Low-Latency Emergency VoIP System Using LLM for Speech Reconstruction and Blockchain for Secure Data Archiving

    Article • IEEE Access, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. MD ARIFUZZAMAN

  12. Synthesis, Characterization, and Performance of Nano-Metal-Oxide (Al2O3) Blended Biochar for the Removal of Iron from Contaminated Water for Enhanced Kinetic and Adsorption Studies

    Article • Processes, December 2023, MDPI AG

    Dr. MD ARIFUZZAMAN

  13. 3D FE analysis of bored pile- pile cap interaction in sandy soils under axial compression- parametric study

    Article • Journal of Engineering Research, December 2023, Elsevier

    Dr. MD ARIFUZZAMAN

  14. A comparative study of ensemble machine learning algorithms for brucellosis disease prediction

    Article • Letters In Animal Biology, October 2023, Letters in Animal Biology

    Dr. MD ARIFUZZAMAN

  15. Flexure Performance of Ferrocement Panels Using SBR Latex and Polypropylene Fibers with PVC and Iron Welded Meshes

    Article • Polymers, May 2023, MDPI AG

    Dr. MD ARIFUZZAMAN

  16. Energy Demand of the Road Transport Sector of Saudi Arabia—Application of a Causality-Based Machine Learning Model to Ensure Sustainable Environment

    Article • Sustainability, December 2022, MDPI AG

    Dr. MD ARIFUZZAMAN

  17. Predicting Road Crash Severity Using Classifier Models and Crash Hotspots

    Article • Applied Sciences, November 2022, MDPI AG

    Dr. MD ARIFUZZAMAN

  18. Prediction of Marshall Stability and Marshall Flow of Asphalt Pavements Using Supervised Machine Learning Algorithms

    Article • Symmetry, November 2022, MDPI AG

    Dr. MD ARIFUZZAMAN

  19. A Study on Sustainable Concrete with Partial Substitution of Cement with Red Mud: A Review

    Article • Materials, November 2022, MDPI AG

    Dr. MD ARIFUZZAMAN

  20. BUDGET AND COST CONTINGENCY CART MODELS FOR POWER PLANT PROJECTS

    Article • Journal of Civil Engineering and Management, October 2022, Vilnius Gediminas Technical University

    Dr. MD ARIFUZZAMAN

  21. Prediction of Autogenous Shrinkage of Concrete Incorporating Super Absorbent Polymer and Waste Materials through Individual and Ensemble Machine Learning Approaches

    Article • Materials, October 2022, MDPI AG

    Dr. MD ARIFUZZAMAN

  22. Investigation of CFRP Reinforcement Ratio on the Flexural Capacity and Failure Mode of Plain Concrete Prisms

    Article • Materials, October 2022, MDPI AG

    Dr. MD ARIFUZZAMAN

  23. A Critical, Temporal Analysis of Saudi Arabia’s Initiatives for Greenhouse Gas Emissions Reduction in the Energy Sector

    Article • Sustainability, October 2022, MDPI AG

    Dr. MD ARIFUZZAMAN

  24. Application of Mechanistic Empirical Pavement Design Guide Software in Saudi Arabia

    Article • Applied Sciences, August 2022, MDPI AG

    Dr. MD ARIFUZZAMAN

  25. The effect of different mobile uses on crash frequency among young drivers: application of statistical models and clustering analysis

    Article • International Journal of Injury Control and Safety Promotion, June 2022, Taylor & Francis

    Dr. MD ARIFUZZAMAN

  26. Involvement of Road Users from the Productive Age Group in Traffic Crashes in Saudi Arabia: An Investigative Study Using Statistical and Machine Learning Techniques

    Article • Applied Sciences, June 2022, MDPI AG

    Dr. MD ARIFUZZAMAN

  27. Nonlinear Response Prediction of Spar Platform in Deep Water Using an Artificial Neural Network

    Article • Applied Sciences, June 2022, MDPI AG

    Dr. MD ARIFUZZAMAN

  28. Towards Sustainable Road Safety in Saudi Arabia: Exploring Traffic Accident Causes Associated with Driving Behavior Using a Bayesian Belief Network

    Article • Sustainability, May 2022, MDPI AG

    Dr. MD ARIFUZZAMAN

  29. Advanced Machine Learning Applications to Viscous Oil-Water Multi-Phase Flow

    Article • Applied Sciences, May 2022, MDPI AG

    Dr. MD ARIFUZZAMAN

  30. Behavioral Investigation of Single Wall and Double Wall CNT Mixed Asphalt Adhesion Force Using Chemical Force Microscopy and Artificial Neural Networks

    Article • Applied Sciences, February 2022, MDPI AG

    Dr. MD ARIFUZZAMAN

  31. The Effect of Strengthening Methods on the Performance of Reinforced Concrete Columns against Vehicle Impact

    Article • Applied Sciences, January 2022, MDPI AG

    Dr. MD ARIFUZZAMAN

  32. A decision support system for predicting settling velocity of spherical and non-spherical particles in Newtonian fluids

    Article • Particulate Science And Technology, October 2021, Taylor & Francis

    Dr. MD ARIFUZZAMAN

  33. The Behavior of Carbon Nano-tubes (CNTs) as a Modifier to Resist Aging and Moisture Damage in Asphalt

    Article • Nanoscience &amp Nanotechnology-Asia, May 2021, Bentham Science Publishers

    Dr. MD ARIFUZZAMAN

  34. Modeling the Settling Velocity of a Sphere in Newtonian and Non-Newtonian Fluids with Machine-Learning Algorithms

    Article • Symmetry, January 2021, MDPI AG

    Dr. MD ARIFUZZAMAN

  35. Classification and regression tree (CART) modelling for analysis of shear strength of FRP-RC members

    Article • Arab Journal of Basic and Applied Sciences, January 2021, Taylor & Francis

    Dr. MD ARIFUZZAMAN

  36. Application of Artificial Intelligence (AI) for Sustainable Highway and Road System

    Article • Symmetry, December 2020, MDPI AG

    Dr. MD ARIFUZZAMAN

  37. Prediction and sensitivity analysis of CNTs-modified asphalt’s adhesion force using a radial basis neural network model

    Article • Journal of Adhesion Science and Technology, December 2019, Taylor & Francis

    Dr. MD ARIFUZZAMAN

  38. Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis

    Article • Computational Intelligence and Neuroscience, August 2019, Hindawi Publishing Corporation

    Dr. MD ARIFUZZAMAN, Professor Okan Sirin

  39. Performance Evaluation of Lime in Resisting Moisture Damage in Elvaloy-Modified Asphalt

    Article • Current Smart Materials, January 2019, Bentham Science Publishers

    Dr. MD ARIFUZZAMAN

  40. Nano-scale moisture damage evaluation of carbon nanotube-modified asphalt

    Article • Construction and Building Materials, December 2018, Elsevier

    Dr. MD ARIFUZZAMAN

  41. Moisture Damage Modeling in Lime and Chemically Modified Asphalt at Nanolevel Using Ensemble Computational Intelligence

    Article • Computational Intelligence and Neuroscience, January 2018, Hindawi Publishing Corporation

    Dr. MD ARIFUZZAMAN

  42. Enhancing the Properties of Marl Soils for Effective Construction in Saudi Arabian Region

    Article • Engineering Journal, July 2017, Faculty of Engineering, Chulalongkorn University

    Dr. MD ARIFUZZAMAN

  43. EVALUATING THE RELATIONSHIP BETWEEN DYNAMIC SHEAR MODULUS AND NANO SCALE MODULUS OF ASPHALT BINDERS AT DIFFERENT AGING CONDITIONS

    Article • International Journal of Geomate, July 2017, International Journal of Geomate

    Dr. MD ARIFUZZAMAN

  44. Using a Neural Network Model to Assess the Effect of Antistripping Agents on the Performance of Moisture-Conditioned Asphalt

    Article • Journal of Materials in Civil Engineering, April 2017, American Society of Civil Engineers (ASCE)

    Dr. MD ARIFUZZAMAN

  45. Evaluation of asphalt mastic containing mica due to aging

    Article • Proceedings of the Institution of Civil Engineers - Transport, June 2016, ICE Publishing

    Dr. MD ARIFUZZAMAN

  46. IMPROVEMENT AND CHARACTERIZATION OF SABKHA SOIL OF SAUDI ARABIA: A REVIEW

    Article • Jurnal Teknologi (Sciences & Engineering), May 2016, Penerbit UTM Press

    Dr. MD ARIFUZZAMAN

  47. Moisture damage evaluation in SBS and lime modified asphalt using AFM and artificial intelligence

    Article • Neural Computing and Applications, September 2015, Springer Science + Business Media

    Dr. MD ARIFUZZAMAN

  48. Moisture Damage Prediction of Polymer Modified Asphalt Binder Using Support Vector Regression

    Article • Journal of Computational and Theoretical Nanoscience, October 2014, American Scientific Publishers

    Dr. MD ARIFUZZAMAN

  49. Adhesion Loss in Antistripping Agent Treated Asphalt Binders due to Moisture

    Article • Advanced Materials Research, May 2013, Trans Tech Publications

    Dr. MD ARIFUZZAMAN