Abdulkader El-Mir, Samer El-Zahab, Dana Nasr, Nabil Semaan, Joseph Assaad, Hilal El-Hassan, (2024), “Use of Machine Learning Models to Predict the Water Penetration Depth in Concrete”. Journal of Building Engineering, Volume 95:110107.
DOI: https://doi.org/10.1016/j.jobe.2024.110107
Dana E. Nasr, Reina El Dahr, Joseph Assaad, and Jamal Khatib (2022), “Comparative Analysis between Genetic Algorithm and Simulated Annealing-Based Frameworks for Optimal Sensor Placement and Structural Health Monitoring Purposes”. Buildings, Volume 12, Number 9, September 2022, 1383.
DOI: https://doi.org/10.3390/buildings12091383
Assaad, Joseph, Dana Nasr, Najib Gerges, and Camille Issa, (2021), "Use of Soft Computing Techniques to Predict the Bond to Reinforcing Bars of Underwater Concrete." International Journal of Civil Engineering, Volume 19, Number 6, June 2021, pages 669-683.
DOI: https://doi.org/10.1007/s40999-020-00598-1
Assaad, Joseph, Dana Nasr, Stephanie Chwaifaty, and Tarek Tawk, (2020), “Parametric study on polymer-modified pigmented cementitious overlays for colored applications”, Journal of Building Engineering – Elsevier, Volume 27, January 2020, 101009.
DOI: https://doi.org/10.1016/j.jobe.2019.101009
Dana E. Nasr, Wael G. Slika, and George A. Saad, (2018), “Uncertainty Quantification for Structural Health Monitoring Applications”, Smart Structures and Systems, Volume 22, Number 4, October 2018, pages 399-411,
DOI: http://dx.doi.org/10.12989/sss.2018.22.4.399
Dana E. Nasr, and George A. Saad, (2016), “Optimal Sensor Placement Using a Combined Genetic Algorithm-Ensemble Kalman Filter Framework”, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, Volume 3, Issue 1, 04016010,
DOI: https://doi.org/10.1061/AJRUA6.0000886