| Issue Date | Title | Author(s) |
| 2021-06 | Effective remediation of heavy metals in contaminated soil by electrokinetic technology incorporating reactive filter media | Ghobadi, R; Altaee, A; Zhou, JL; Karbassiyazdi, E; Ganbat, N |
| 2023-03 | Electrospun nanofiber composite membranes for geothermal brine treatment with lithium enrichment via membrane distillation. | Afsari, M; Li, Q; Karbassiyazdi, E; Shon, HK; Razmjou, A; Tijing, LD |
| 2023-10-15 | Fabrication of carbon-based hydrogel membrane for landfill leachate wastewater treatment | Karbassiyazdi, E; Altaee, A; Ibrar, I; Razmjou, A; Alsaka, L; Ganbat, N; Malekizadeh, A; Ghobadi, R; Khabbaz, H |
| 2023-11 | Gravity-Driven Composite Cellulose Acetate/Activated Carbon Aluminium-Based Hydrogel Membrane for Landfill Wastewater Treatment | Karbassiyazdi, E; Altaee, A; Razmjou, A; Samal, AK; Khabbaz, H |
| 2021-12 | High-Performance Mild Annealed CNT/GO-PVA Composite Membrane for Brackish Water Treatment | Yadav, S; Ibrar, I; Altaee, A; Samal, AK; Karbassiyazdi, E; Zhou, J; Bartocci, P |
| 2022-08-09 | Hybrid Metal Oxide/Biochar Materials for Wastewater Treatment Technology: A Review. | Weidner, E; Karbassiyazdi, E; Altaee, A; Jesionowski, T; Ciesielczyk, F |
| 2022 | Intelligent geo-sensing for moving toward smart, resilient, low emission, and less carbon transport | Ghaffarpasand, O; Jahromi, AM; Maleki, R; Karbassiyazdi, E; Blake, R |
| 2022-10-01 | Investigation of the effect of surfactant on the electrokinetic treatment of PFOA contaminated soil | Ganbat, N; Altaee, A; Zhou, JL; Lockwood, T; Al-Juboori, RA; Hamdi, FM; Karbassiyazdi, E; Samal, AK; Hawari, A; Khabbaz, H |
| 2022-01-01 | The AI-assisted removal and sensor-based detection of contaminants in the aquatic environment | Modak, S; Mokarizadeh, H; Karbassiyazdi, E; Hosseinzadeh, A; Esfahani, MR |
| 2022-04 | Updated review on emerging technologies for PFAS contaminated water treatment | Kazwini, T; Yadav, S; Ibrar, I; Al-Juboori, RA; Singh, L; Ganbat, N; Karbassiyazdi, E; Samal, AK; Subbiah, S; Altaee, A |
| 2022-12 | XGBoost model as an efficient machine learning approach for PFAS removal: Effects of material characteristics and operation conditions. | Karbassiyazdi, E; Fattahi, F; Yousefi, N; Tahmassebi, A; Taromi, AA; Manzari, JZ; Gandomi, AH; Altaee, A; Razmjou, A |
