Dr. Muhammad Faisal Javed

Dr. Muhammad Faisal Javed
+92-938-281026 (Ext. 2123)
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Dr. Muhammad Faisal Javed

Associate Professor


University of Malaya, Malaysia (UM)                                             UM ranked at 59th in the world     

Civil Engineering Department, Faculty of Engineering, Kuala Lumpur, Malaysia.

Research Interests:

Machine learning, Resilient Structures, Construction Materials, Genetic Engineering Programming, sustainable materials, composite structures, stochastic nature of materials, optimization

Selected Publications

  1. Zhang J, Zhu X, Khan AM, Houda M, Rehman SKU, Jameel M, et al. BIM-based architectural analysis and optimization for construction 4.0 concept (a comparison). Ain Shams Engineering Journal. 2023;14(6):102110.
  2. Yang D, Xu P, Zaman A, Alomayri T, Houda M, Alaskar A, et al. Compressive strength prediction of concrete blended with carbon nanotubes using gene expression programming and random forest: hyper-tuning and optimization. Journal of Materials Research and Technology. 2023;24:7198-218.
  3. Ullah W, Ahmad K, Ullah S, Tahir AA, Javed MF, Nazir A, et al. Analysis of the relationship among land surface temperature (LST), land use land cover (LULC), and normalized difference vegetation index (NDVI) with topographic elements in the lower Himalayan region. Heliyon. 2023;9(2).
  4. Ullah S, Ullah R, Javed MF, Sajjad RU, Ullah I, Mohamed A, et al. Land Use Land Cover (LULC) and Land Surface Temperature (LST) Changes and its Relationship with Human Modification in Islamabad Capital Territory, Pakistan. 2023.
  5. Sheraz M, Yuan Q, Alam M, Javed MF, Rehman MF, Mohamed A. Fresh and hardened properties of waste rubber tires based concrete: a state art of review. SN Applied Sciences. 2023;5(4):119.
  6. Shah AM, Lodhi RH, Javed MF, Jasiński M, Jasińska E, Gono M. Structural Performance of Waste Plastic Bottles Modified Asphalt: A Review. Resources. 2023;12(1):10.
  7. Rehman R, Aslam MS, Jasińska E, Javed MF, Goňo M. Guidelines for the Technical Sustainability Evaluation of the Urban Drinking Water Systems Based on Analytic Hierarchy Process. Resources. 2023;12(1):8.
  8. Nazar S, Yang J, Wang X-E, Khan K, Amin MN, Javed MF, et al. Estimation of strength, rheological parameters, and impact of raw constituents of alkali-activated mortar using machine learning and SHapely Additive exPlanations (SHAP). Construction and Building Materials. 2023;377:131014.
  9. Nazar S, Yang J, Javed MF, Khan K, Li L, Liu Q-f, editors. An evolutionary machine learning-based model to estimate the rheological parameters of fresh concrete. Structures; 2023: Elsevier.
  10. Nazar S, Yang J, Ashraf M, Aslam F, Javed MF, Eldin SM, et al. Formulation and characterization of cleaner one-part novel fly ash/lime-based alkali-activated material. Journal of Materials Research and Technology. 2023;23:3821-39.
  11. Nazar S, Yang J, Amin MN, Khan K, Javed MF, Althoey F. Formulation of estimation models for the compressive strength of concrete mixed with nanosilica and carbon nanotubes. Developments in the Built Environment. 2023;13:100113.
  12. Nazar S, Yang J, Amin MN, Khan K, Ashraf M, Aslam F, et al. Machine learning interpretable-prediction models to evaluate the slump and strength of fly ash-based geopolymer. Journal of Materials Research and Technology. 2023;24:100-24.
  13. Nafees A, Althoey F, Sikandar MA, Alyami SH, Rehman MF, Javed MF, et al. Plastic concrete mechanical properties prediction based on experimental data. Case Studies in Construction Materials. 2023:e01831.
  14. Maglad AM, Houda M, Alrowais R, Khan AM, Jameel M, Rehman SKU, et al. Bim-based energy analysis and optimization using insight 360 (case study). Case Studies in Construction Materials. 2023;18:e01755.
  15. Javed MF, Zahra M, Javed I, Ahmad S, Jabeen T, Ahmad M. Development and validation of RP HPLC method for the estimation of methyl paraben sodium and propyl paraben sodium in iron protein succinylate syrup. Acta Chromatographica. 2023;35(1):52-9.
  16. Iftikhar B, Alih SC, Vafaei M, Alrowais R, Bashir MT, Khalil A, et al. A scientometric analysis approach on the plastic sand. Heliyon. 2023.
  17. Iftikhar B, Alih SC, Vafaei M, Ali M, Javed MF, Asif U, et al. Experimental study on the eco-friendly plastic-sand paver blocks by utilising plastic waste and basalt fibers. Heliyon. 2023.
  18. Chen L, Wang Z, Khan AA, Khan M, Javed MF, Alaskar A, et al. Development of predictive models for sustainable concrete via genetic programming-based algorithms. Journal of Materials Research and Technology. 2023;24:6391-410.
  19. Aslam F, Alyousef R, Awan HH, Javed MF, editors. Forecasting the self-healing capacity of engineered cementitious composites using bagging regressor and stacking regressor. Structures; 2023: Elsevier.
  20. Asghar R, Khan MA, Alyousef R, Javed MF, Ali M. Promoting the green construction: Scientometric review on the mechanical and structural performance of geopolymer concrete. Construction and Building Materials. 2023;368:130502.
  21. Arifuzzaman M, Qureshi HJ, Al Fuhaid AF, Alanazi F, Javed MF, Eldin SM. Novel ensemble modelling for prediction of fundamental properties of bitumen incorporating plastic waste. Journal of Materials Research and Technology. 2023;24:3334-51.
  22. Amin MN, Khan K, Arab AMA, Farooq F, Eldin SM, Javed MF. Prediction of Sustainable Concrete Utilizing Rice Husk Ash (RHA) as supplementary cementitious material (SCM): Optimization and Hyper-tuning. Journal of Materials Research and Technology. 2023.
  23. Amin MN, Iftikhar B, Khan K, Javed MF, AbuArab AM, Rehman MF, editors. Prediction model for rice husk ash concrete using AI approach: Boosting and bagging algorithms. Structures; 2023: Elsevier.
  24. Althoey F, Sor NH, Hadidi HM, Shah SFA, Alaskar A, Eldin SM, et al. Crack width prediction of self-healing engineered cementitious composite using multi-expression programming. Journal of Materials Research and Technology. 2023;24:918-27.
  25. Althoey F, Akhter MN, Nagra ZS, Awan HH, Alanazi F, Khan MA, et al. Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study. Case Studies in Construction Materials. 2023;18:e01774.
  26. Aldrees A, Javed MF, Taha ATB, Mohamed AM, Jasiński M, Gono M. Evolutionary and ensemble machine learning predictive models for evaluation of water quality. Journal of Hydrology: Regional Studies. 2023;46:101331.
  27. Alaskar A, Alfalah G, Althoey F, Abuhussain MA, Javed MF, Deifalla AF, et al. Comparative Study of Genetic Programming-Based Algorithms for Predicting the Compressive Strength of Concrete at Elevated Temperature. Case Studies in Construction Materials. 2023:e02199.
  28. Alabduljabbar H, Amin MN, Eldin SM, Javed MF, Alyousef R, Mohamed AM. Forecasting Compressive Strength and Electrical Resistivity of Graphite Based Nano-Composites Using Novel Artificial Intelligence techniques. Case Studies in Construction Materials. 2023:e01848.
  29. Ahmad S, Dawood O, Lashin MM, Khattak SU, Javed MF, Aslam F, et al. Effect of coconut fiber on low-density polyethylene plastic-sand paver blocks. Ain Shams Engineering Journal. 2023;14(8):101982.
  30. Yang L, Aghaabbasi M, Ali M, Jan A, Bouallegue B, Javed MF, et al. Comparative analysis of the optimized KNN, SVM, and ensemble DT models using Bayesian optimization for predicting pedestrian fatalities: an advance towards realizing the sustainable safety of pedestrians. Sustainability. 2022;14(17):10467.
  31. Ullah S, Shah MI, Alqurashi M, Javed MF, Dawood O, Aslam F, et al. Eco-Friendly Incorporation of Crumb Rubber and Waste Bagasse Ash in Bituminous Concrete Mix. Materials. 2022;15(7):2509.
  32. Ullah F, Wei W, Daradkeh YI, Javed M, Rabbi I, Al Juaid H. A Robust Convolutional Neural Network for 6D Object Pose Estimation from RGB Image with Distance Regularization Voting Loss. Scientific Programming. 2022;2022.
  33. Subhanullah M, Ullah S, Javed MF, Ullah R, Akbar TA, Ullah W, et al. Assessment and Impacts of Air Pollution from Brick Kilns on Public Health in Northern Pakistan. Atmosphere. 2022;13(8):1231.
  34. Song Y, Zhao J, Ostrowski KA, Javed MF, Ahmad A, Khan MI, et al. Prediction of compressive strength of fly-ash-based concrete using ensemble and non-ensemble supervised machine-learning approaches. Applied Sciences. 2022;12(1):361.
  35. Shah MI, Javed MF, Aslam F, Alabduljabbar H. Machine learning modeling integrating experimental analysis for predicting the properties of sugarcane bagasse ash concrete. Construction and Building Materials. 2022;314:125634.
  36. Shah HA, Rehman SKU, Javed MF, Iftikhar Y. Prediction of compressive and splitting tensile strength of concrete with fly ash by using gene expression programming. Structural Concrete. 2022;23(4):2435-49.
  37. Raza A, Khan I, Tufail RF, Frankovska J, Mushtaq MU, Salmi A, et al. Evaluation of moisture damage potential in hot mix asphalt using polymeric aggregate treatment. Materials. 2022;15(15):5437.
  38. Rawan B, Ullah W, Ullah R, Akbar TA, Ayaz Z, Javed MF, et al. Assessments of Roof-Harvested Rainwater in Disctrict Dir Lower, Khyber Pakhtunkhwa Pakistan. Water. 2022;14(20):3270.
  39. Qureshi HJ, Saleem MU, Javed MF, Al Fuhaid AF, Ahmad J, Amin MN, et al. Prediction of Autogenous Shrinkage of Concrete Incorporating Super Absorbent Polymer and Waste Materials through Individual and Ensemble Machine Learning Approaches. Materials. 2022;15(21):7412.
  40. Nazar S, Yang J, Ahmad W, Javed MF, Alabduljabbar H, Deifalla AF. Development of the new prediction models for the compressive strength of nanomodified concrete using novel machine learning techniques. Buildings. 2022;12(12):2160.
  41. Nafees A, Khan S, Javed MF, Alrowais R, Mohamed AM, Mohamed A, et al. Forecasting the mechanical properties of plastic concrete employing experimental data using machine learning algorithms: DT, MLPNN, SVM, and RF. Polymers. 2022;14(8):1583.
  42. Nafees A, Amin MN, Khan K, Nazir K, Ali M, Javed MF, et al. Modeling of mechanical properties of silica fume-based green concrete using machine learning techniques. Polymers. 2022;14(1):30.
  43. Mahmood F, Rehman S, Jameel M, Riaz N, Javed M, Salmi A, et al. Self-Healing Bio-Concrete Using Bacillus subtilis Encapsulated in Iron Oxide Nanoparticles. Materials 2022, 15, 7731. s Note: MDPI stays neutral with regard to jurisdictional claims in published …; 2022.
  44. Mahmood F, Kashif Ur Rehman S, Jameel M, Riaz N, Javed MF, Salmi A, et al. Self-Healing Bio-Concrete Using Bacillus subtilis Encapsulated in Iron Oxide Nanoparticles. Materials. 2022;15(21):7731.
  45. Liu T, Nafees A, Javed MF, Aslam F, Alabduljabbar H, Xiong J-J, et al. Comparative study of mechanical properties between irradiated and regular plastic waste as a replacement of cement and fine aggregate for manufacturing of green concrete. Ain Shams Engineering Journal. 2022;13(2):101563.
  46. Li P, Khan MA, Galal AM, Awan HH, Zafar A, Javed MF, et al. Sustainable use of chemically modified tyre rubber in concrete: Machine learning based novel predictive model. Chemical Physics Letters. 2022;793:139478.
  47. Khanzada FA, Nazir K, Ishtiaq M, Javed MF, Kashif-ur-Rehman S, Aslam F, et al. Concrete by Preplaced Aggregate Method Using Silica Fume and Polypropylene Fibres. Materials. 2022;15(6):1997.
  48. Khan MA, Shah MI, Javed MF, Khan MI, Rasheed S, El-Shorbagy M, et al. Application of random forest for modelling of surface water salinity. Ain Shams Engineering Journal. 2022;13(4):101635.
  49. Khan MA, Aslam F, Javed MF, Alabduljabbar H, Deifalla AF. New prediction models for the compressive strength and dry-thermal conductivity of bio-composites using novel machine learning algorithms. Journal of Cleaner Production. 2022;350:131364.
  50. Kashif Ur Rehman S, Mahmood F, Jameel M, Riaz N, Javed MF, Salmi A, et al. A Biomineralization, Mechanical and Durability Features of Bacteria-Based Self-Healing Concrete—A State of the Art Review. Crystals. 2022;12(9):1222.
  51. Ilyas I, Zafar A, Afzal MT, Javed MF, Alrowais R, Althoey F, et al. Advanced Machine Learning Modeling Approach for Prediction of Compressive Strength of FRP Confined Concrete Using Multiphysics Genetic Expression Programming. Polymers. 2022;14(9):1789.
  52. Iftikhar B, Alih SC, Vafaei M, Elkotb MA, Shutaywi M, Javed MF, et al. Predictive modeling of compressive strength of sustainable rice husk ash concrete: Ensemble learner optimization and comparison. Journal of Cleaner Production. 2022;348:131285.
  53. He C, Zhang S, Liang Y, Ahmad W, Althoey F, Alyami SH, et al. A Scientometric Review on Mapping Research Knowledge for 3D Printing Concrete. Materials. 2022;15(14):4796.
  54. Haque MA, Chen B, Javed MF, Jalal FE. Evaluating the mechanical strength prediction performances of fly ash-based MPC mortar with artificial intelligence approaches. Journal of Cleaner Production. 2022;355:131815.
  55. Chu H-H, Siddiq B, Aslam F, Javed MF, Wang W, Joyklad P, et al. Coupled effect of poly vinyl alcohol and fly ash on mechanical characteristics of concrete. Ain Shams Engineering Journal. 2022;13(3):101633.
  56. Chang Q, Zhao C, Xing L, Ahmad W, Javed MF, Aslam F, et al. Concrete filled double steel tube columns incorporating UPVC pipes under uniaxial compressive load at ambient and elevated temperature. Case Studies in Construction Materials. 2022;16:e00907.
  57. Chang Q, Zhao C, Xing L, Ahmad W, Javed MF, Aslam F, et al. Case Studies in Construction Materials. Concr Fill Double Steel Tube Columns Inc UPVC Pipes uniaxial Compress Load Ambient Elev Temp, Case Stud Constr Mater. 2022;16:e00907.
  58. Awan HH, Hussain A, Javed MF, Qiu Y, Alrowais R, Mohamed AM, et al. Predicting marshall flow and marshall stability of asphalt pavements using multi expression programming. Buildings. 2022;12(3):314.
  59. Aslam F, Sadiq MR, Javed MF, Alabduljabbar H. Mechanical properties of novel PVA rubberized concrete. Structural Concrete. 2022;23(6):4067-78.
  60. Aslam F, Elkotb MA, Iqtidar A, Khan MA, Javed MF, Usanova KI, et al. Compressive strength prediction of rice husk ash using multiphysics genetic expression programming. Ain Shams Engineering Journal. 2022;13(3):101593.
  61. Asghar R, Javed MF, Alrowais R, Khalil A, Mohamed AM, Mohamed A, et al. Predicting the Lateral Load Carrying Capacity of Reinforced Concrete Rectangular Columns: Gene Expression Programming. Materials. 2022;15(7):2673.
  62. Amin MN, Khan K, Javed MF, Ewais DYZ, Qadir MG, Faraz MI, et al. Forecasting compressive strength of rha based concrete using multi-expression programming. Materials. 2022;15(11):3808.
  63. Amin MN, Khan K, Javed MF, Aslam F, Qadir MG, Faraz MI. Prediction of Mechanical Properties of Fly-Ash/Slag-Based Geopolymer Concrete Using Ensemble and Non-Ensemble Machine-Learning Techniques. Materials. 2022;15(10):3478.
  64. Amin MN, Khan K, Ahmad W, Javed MF, Qureshi HJ, Saleem MU, et al. Compressive Strength Estimation of Geopolymer Composites through Novel Computational Approaches. Polymers. 2022;14(10):2128.
  65. Althoey F, Amin MN, Khan K, Usman MM, Khan MA, Javed MF, et al. Machine learning based computational approach for crack width detection of self-healing concrete. Case Studies in Construction Materials. 2022;17:e01610.
  66. Alqahtani A, Shah MI, Aldrees A, Javed MF. Comparative Assessment of Individual and Ensemble Machine Learning Models for Efficient Analysis of River Water Quality. Sustainability. 2022;14(3):1183.
  67. Alnuwaiser MA, Javed MF, Khan MI, Ahmed MW, Galal AM. Support vector regression and ANN approach for predicting the ground water quality. Journal of the Indian Chemical Society. 2022;99(7):100538.
  68. Aldrees A, Awan HH, Javed MF, Mohamed AM. Prediction of water quality indexes with ensemble learners: Bagging and Boosting. Process Safety and Environmental Protection. 2022;168:344-61.
  69. Akbar TA, Ullah S, Ullah W, Ullah R, Sajjad RU, Mohamed A, et al. Development and application of models for landslide hazards in northern Pakistan. Sustainability. 2022;14(16):10194.
  70. Akbar TA, Javed A, Ullah S, Ullah W, Pervez A, Akbar RA, et al. Principal Component Analysis (PCA)–Geographic Information System (GIS) modeling for groundwater and associated health risks in Abbottabad, Pakistan. Sustainability. 2022;14(21):14572.
  71. Shah MI, Memon SA, Khan Niazi MS, Amin MN, Aslam F, Javed MF. Machine learning-based modeling with optimization algorithm for predicting mechanical properties of sustainable concrete. Advances in Civil Engineering. 2021;2021:1-15.
  72. Shah MI, Javed MF, Alqahtani A, Aldrees A. Environmental assessment based surface water quality prediction using hyper-parameter optimized machine learning models based on consistent big data. Process Safety and Environmental Protection. 2021;151:324-40.
  73. Shah MI, Javed MF, Abunama T. Proposed formulation of surface water quality and modelling using gene expression, machine learning, and regression techniques. Environmental Science and Pollution Research. 2021;28:13202-20.
  74. Shah MI, Amin MN, Khan K, Niazi MSK, Aslam F, Alyousef R, et al. Performance evaluation of soft computing for modeling the strength properties of waste substitute green concrete. Sustainability. 2021;13(5):2867.
  75. Shah MI, Alaloul WS, Alqahtani A, Aldrees A, Musarat MA, Javed MF. Predictive modeling approach for surface water quality: development and comparison of machine learning models. Sustainability. 2021;13(14):7515.
  76. Shah MI, Abunama T, Javed MF, Bux F, Aldrees A, Tariq MAUR, et al. Modeling surface water quality using the adaptive neuro-fuzzy inference system aided by input optimization. Sustainability. 2021;13(8):4576.
  77. Rafiq W, Musarat MA, Altaf M, Napiah M, Sutanto MH, Alaloul WS, et al. Life cycle cost analysis comparison of hot mix asphalt and reclaimed asphalt pavement: A case study. Sustainability. 2021;13(8):4411.
  78. Nafees A, Javed MF, Musarat MA, Ali M, Aslam F, Vatin NI. FE modelling and analysis of beam column joint using reactive powder concrete. Crystals. 2021;11(11):1372.
  79. Khan S, Ali Khan M, Zafar A, Javed MF, Aslam F, Musarat MA, et al. Predicting the ultimate axial capacity of uniaxially loaded cfst columns using multiphysics artificial intelligence. Materials. 2021;15(1):39.
  80. Khan MA, Farooq F, Javed MF, Zafar A, Ostrowski KA, Aslam F, et al. Simulation of depth of wear of eco-friendly concrete using machine learning based computational approaches. Materials. 2021;15(1):58.
  81. Javed MF, Rafiq H, Khan MA, Aslam F, Musarat MA, Vatin NI. Axial behavior of concrete-filled double-skin tubular stub columns incorporating PVC pipes. Crystals. 2021;11(12):1434.
  82. Javed MF, Jameel M, Khan MI, Qayyum S, Khan NB, Khan TA. Theoretical analysis of entropy generation in second grade nanofluid considering heat source/sink over a rotating disk. International Journal of Numerical Methods for Heat & Fluid Flow. 2021;31(11):3279-303.
  83. Javed MF, Durrani AA, Kashif Ur Rehman S, Aslam F, Alabduljabbar H, Mosavi A. Effect of recycled coarse aggregate and bagasse ash on two-stage concrete. Crystals. 2021;11(5):556.
  84. Jalal FE, Xu Y, Iqbal M, Javed MF, Jamhiri B. Predictive modeling of swell-strength of expansive soils using artificial intelligence approaches: ANN, ANFIS and GEP. Journal of Environmental Management. 2021;289:112420.
  85. Jalal FE, Xu Y, Iqbal M, Jamhiri B, Javed MF. Predicting the compaction characteristics of expansive soils using two genetic programming-based algorithms. Transportation Geotechnics. 2021;30:100608.
  86. Isleem HF, Abid M, Alaloul WS, Shah MK, Zeb S, Musarat MA, et al. Axial compressive strength models of eccentrically-loaded rectangular reinforced concrete columns confined with frp. Materials. 2021;14(13):3498.
  87. Iqtidar A, Bahadur Khan N, Kashif-ur-Rehman S, Faisal Javed M, Aslam F, Alyousef R, et al. Prediction of compressive strength of rice husk ash concrete through different machine learning processes. Crystals. 2021;11(4):352.
  88. Iqbal MF, Javed MF, Rauf M, Azim I, Ashraf M, Yang J, et al. Sustainable utilization of foundry waste: Forecasting mechanical properties of foundry sand based concrete using multi-expression programming. Science of the Total Environment. 2021;780:146524.
  89. Iqbal M, Zhang D, Jalal FE, Javed MF. Computational AI prediction models for residual tensile strength of GFRP bars aged in the alkaline concrete environment. Ocean Engineering. 2021;232:109134.
  90. Farooq F, Jin X, Javed MF, Akbar A, Shah MI, Aslam F, et al. Geopolymer concrete as sustainable material: A state of the art review. Construction and Building Materials. 2021;306:124762.
  91. Bangash KA, Kazmi SAA, Farooq W, Ayub S, Musarat MA, Alaloul WS, et al. Thickness optimization of thin-film tandem organic solar cell. Micromachines. 2021;12(5):518.
  92. Azim I, Yang J, Iqbal MF, Mahmood Z, Javed MF, Wang F, et al. Prediction of Catenary Action Capacity of RC Beam-Column Substructures under a Missing Column Scenario Using Evolutionary Algorithm. KSCE Journal of Civil Engineering. 2021:1-15.
  93. Ayub S, Guan BH, Ahmad F, Oluwatobi YA, Nisa ZU, Javed MF, et al. Graphene and iron reinforced polymer composite electromagnetic shielding applications: A review. Polymers. 2021;13(15):2580.
  94. Ayub S, Guan BH, Ahmad F, Javed MF, Mosavi A, Felde I. Preparation Methods for Graphene Metal and Polymer Based Composites for EMI Shielding Materials: State of the Art Review of the Conventional and Machine Learning Methods. Metals. 2021;11(8):1164.
  95. Awan HH, Javed MF, Yousaf A, Aslam F, Alabduljabbar H, Mosavi A. Experimental evaluation of untreated and pretreated crumb rubber used in concrete. Crystals. 2021;11(5):558.
  96. Amin MN, Khan K, Aslam F, Shah MI, Javed MF, Musarat MA, et al. Multigene Expression Programming Based Forecasting the Hardened Properties of Sustainable Bagasse Ash Concrete. Materials. 2021;14(19):5659.
  97. Amin MN, Javed MF, Khan K, Shalabi FI, Qadir MG. Modeling Compressive Strength of Eco-Friendly Volcanic Ash Mortar using Artificial Neural Networking. Symmetry. 2021;13(11):2009.
  98. Amin MN, Iqtidar A, Khan K, Javed MF, Shalabi FI, Qadir MG. Comparison of machine learning approaches with traditional methods for predicting the compressive strength of rice husk ash concrete. Crystals. 2021;11(7):779.
  99. Alaloul WS, Altaf M, Musarat MA, Faisal Javed M, Mosavi A. Systematic review of life cycle assessment and life cycle cost analysis for pavement and a case study. Sustainability. 2021;13(8):4377.

100.       Ahmad J, Tufail RF, Aslam F, Mosavi A, Alyousef R, Faisal Javed M, et al. A step towards sustainable self-compacting concrete by using partial substitution of wheat straw ash and bentonite clay instead of cement. Sustainability. 2021;13(2):824.

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