Roz‐Ud‐Din Nassar

American University of Ras Al Khaimah — AE

Engineering · Physical Sciences

18h-index1.3kcitations52works10.42yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Innovative concrete reinforcement materials(31), Concrete and Cement Materials Research(28), Innovations in Concrete and Construction Materials(16), Recycled Aggregate Concrete Performance(14), Recycling and utilization of industrial and municipal waste in materials production(8)

Publications52 total

Enhanced mechanical performance of high-early-strength concrete with basalt macro-fibre reinforcement for rapid repair and construction applications in airfield pavements
International Journal of Pavement Engineering·2025· 1 cited
AI-powered interpretable models for the abrasion resistance of steel fiber-reinforced concrete in hydraulic conditions
Case Studies in Construction Materials·2025· 5 citedOpen Access
Machine learning approach for predicting the compressive and flexural strengths of fiber-reinforced concrete mixtures
Materials research proceedings·2025· 1 citedOpen Access
Strength, Durability, and Microstructural Characteristics of Binary Concrete Mixes Developed with Ultrafine Rice Husk Ash as Partial Substitution of Binder
Civil Engineering and Architecture·2025· 1 citedOpen Access
Analyzing the viability of agro-waste for sustainable concrete: Expression-based formulation and validation of predictive models for strength performance
REVIEWS ON ADVANCED MATERIALS SCIENCE·2025Open Access
Utilizing carbonated recycled concrete fines to develop sustainable ultra-high-performance fiber-reinforced concrete
Journal of Building Engineering·2024· 8 citedOpen Access
Performance evaluation of innovative self-healing corrosion protection coatings for prestressing strands
Heliyon·2024· 3 citedOpen Access
Development and evaluation of mixture formulations to enhance concrete resistance to microbial-induced corrosion
Results in Materials·2024· 2 citedOpen Access
Investigating the compressive property of foamcrete and analyzing the feature interaction using modeling approaches
Results in Engineering·2024· 5 citedOpen Access
Mechanochemical processing of landfilled coal fly ash for enhanced CO₂ sequestration and heavy metal immobilization in sustainable hydraulic cements
International Journal of Coal Preparation and Utilization·2024
Formulation of high-recycled-content hydraulic cements based on alkali aluminosilicate chemistry and mechanochemical processing techniques
Construction and Building Materials·2024· 8 cited
Predicting the properties of concrete incorporating graphene nano platelets by experimental and machine learning approaches
Case Studies in Construction Materials·2024· 19 citedOpen Access
Forecasting the strength of graphene nanoparticles-reinforced cementitious composites using ensemble learning algorithms
Results in Engineering·2024· 42 citedOpen Access
Estimating compressive strength of concrete containing rice husk ash using interpretable machine learning-based models
Case Studies in Construction Materials·2024· 71 citedOpen Access
Heat of hydration, water sorption and microstructural characteristics of paste and mortar mixtures produced with powder waste glass
Cogent Engineering·2024· 9 citedOpen Access
Integrating testing and modeling methods to examine the feasibility of blended waste materials for the compressive strength of rubberized mortar
REVIEWS ON ADVANCED MATERIALS SCIENCE·2024· 5 citedOpen Access
Investigating the rheological characteristics of alkali-activated concrete using contemporary artificial intelligence approaches
REVIEWS ON ADVANCED MATERIALS SCIENCE·2024· 7 citedOpen Access
Prediction of the Compressive Strength of Sustainable Concrete Produced with Powder Glass Using Standalone and Stack Machine Learning Methods
Communications in computer and information science·2024· 1 cited
Spalling behavior and performance of ultra-high-performance concrete subjected to elevated temperature: A review
Construction and Building Materials·2023· 56 cited
Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete
Results in Engineering·2023· 52 citedOpen Access
page 1 of 3Next →

Frequent Co-authors

Parviz Soroushian(22), Anagi M. Balachandra(9), Tewodros Ghebrab(7), Majid Khan(4), Muhammad Sufyan-Ud-Din(4), Shumayal Nassar(4), Rankothge Weerasiri(4), Nalin Darsanasiri(4), Nastran Abdol(4), Shah Room(4), Danish Saeed(4), Muhammad Nasir Amin(4), Muhammad Fawad(3), Yaser Gamil(3), Osama Zaid(3), Ahmed Farouk Deifalla(3), Furqan Farooq(3), Navdeep Singh(3), Muhammad Tahir Qadir(3), Mana Alyami(2)