| Issue Date | Title | Author(s) |
| Feb-2022 | Assessment of the Compressive Strength of Self-Consolidating Concrete Subjected to Freeze-Thaw Cycles Using Ultrasonic Pulse Velocity Method | El-Mir, Abdulkader ; El-Zahab, Samer |
| 2021 | Eco-friendly mortar: Optimum combination of wood ash, crumb rubber, and fine crushed glass | Gerges, Najib N. ; Issa, Camille A.; Antoun, Marc; Sleiman, Elias; Hallal, Fouad; Shamoun, Perla; Hayek, Joelle |
| 4-Jun-2023 | Effect of Type of Sand on the Flowability and Compressive Strength of Slag-Fly Ash Blended Geopolymer Mortar | Hwalla, Joud; El-Hassan, Hilal; Assaad, Joseph ; El-Maaddawy, Tamer; Bawab, Jad |
| 1-Dec-2024 | Enhancing the chloride ion penetration resistance of concrete using metal-organic frameworks | El-Hassan, Hilal; El-Dieb, Amr; El-Mir, Abdulkader ; Alzamly, Ahmed; Aly Hassan, Ashraf |
| 1-Dec-2023 | From waste to resource: utilizing municipal solid waste incineration bottom ash and recycled rubber in pervious concrete pavement | Nasser Eddine, Zeinab; Barraj, Firas ; Khatib, Jamal; Elkordi, Adel |
| 30-Mar-2023 | Investigation on partially replacing metakaolin with marine shell waste to produce sustainable eco-friendly geopolymer mortars | Saba, Marianne ; Tehrani, Fateh Fakhari; Hajikarimi, Pouria; Absi, Joseph |
| 1-Apr-2023 | Machine learning prediction of concrete compressive strength using rebound hammer test | El-Mir, Abdulkader ; El-Zahab, Samer; Sbartaï, Zoubir Mehdi; Homsi, Farah; Saliba, Jacqueline; El-Hassan, Hilal |
| 18-Jul-2022 | Optimization of Pervious Geopolymer Concrete Using TOPSIS-Based Taguchi Method | Faiz Habib Anwar; Hilal El-Hassan; Mohamed Hamouda; El-Mir, Abdulkader ; Safa Mohammed; Kim Hung Mo |
| 2021 | Production of Portland cement clinker from French Municipal Solid Waste Incineration Bottom Ash | Kleib, Joelle; Aouad, Georges ; Abriak, Nor Edine; Benzerzour, Mahfoud |
| Jan-2022 | Strength and Durability of Concrete Containing Ceramic Waste Powder and Blast Furnace Slag | Alarab, Amir; Hamad, Bilal; Assaad, Joseph |
| 15-Oct-2024 | Use of machine learning models to predict the water penetration depth in concrete | El-Mir, Abdulkader ; El-Zahab, Samer; Nasr, Dana ; Semaan, Nabil ; Assaad, Joseph ; El-Hassan, Hilal |
