1- Dashtgoli, D. S., Dehnad, M. H., Mobinipour, S. A., & Giustiniani, M. (2024). Performance comparison of machine learning algorithms for maximum displacement prediction in soldier pile wall excavation. Geoscience Frontiers. https://doi.org/10.1016/j.undsp.2023.09.013

2- Vo, T. H., Dashtgoli, D. S., Zhang, H., & Min, B. (2023). Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects. Energy Journal. https://doi.org/10.1016/j.energy.2023.127860

3- Safaei-Farouji, M., Vo, T. H., Dashtgoli, D. S., Yasin, Q., Radwan, A. E., Ashraf, U., & Lee, K.-K. (2022). Application of robust intelligent schemes for accurate modeling interfacial tension of CO2 brine systems: Implications for structural CO2 trapping. Fuel Journal. https://doi.org/10.1016/j.fuel.2022.123821