Browse by Current Cardiff authors

Number of items: 12.

, Aksoy, A., Ünalan, U.B., Çelebi, E.B. and Ahmadian, Reza

2026. A multi-stage data-driven approach for identifying lake stratification and mixing regimes by integration of machine learning and physical indicators. Results in engineering 30 , 110265. 10.1016/j.rineng.2026.110265

Amini, Hossein, Shakeri, Reza, Ghaderi, Narjes, Fakheri, Farshid, Morovati, Khosro, Zahraie, Banafsheh and Ahmadian, Reza

2026. Interpretable machine learning for river salinity dynamics in arid basins. Scientific Reports 16 , 18310. 10.1038/s41598-026-49042-9

Amini, H., Lam, M.Y.

and Ahmadian, R.

2026. Improved hydro-epidemiological prediction of faecal indicator organisms using knowledge distillation inspired machine learning through dimensionality reduction. Journal of Environmental Management 406 , 129792. 10.1016/j.jenvman.2026.129792

Jaffer, Yousuf Dar, Mukhopadhyay, Raj, Raul, Chittaranjan, Amini, Hossein, Bhat, Irfan, Bhendarkar, Mukesh, Mir, Shakir Ahmad, Kumar, Satyendra and Yadav, Rajender Kumar 2026. Identification, characterization, and quantification of microplastics in water and sediments of high-altitude Himalayan Dal Lake. Environmental Research: Water 2 , 015008. 10.1088/3033-4942/ae49ba

Amini, Hossein, Fakheri, Farshid, Dar, Jaffer Yousuf, Shakeri, Reza, Nejati, Hossein, Lam, Man Yue

, Zahraie, Banafsheh and Ahmadian, Reza

2025. TDS prediction with wavelet analysis and trend-seasonal decomposition and machine learning algorithms, Case Study: Karkheh River, Iran. Water Conservation Science and Engineering 10 (2) , 63. 10.1007/s41101-025-00390-z

Shakeri, Reza, Amini, Hossein, Fakheri, Farshid, Lam, Man Yue and Zahraie, Banafsheh 2025. Comparative analysis of correlation and causality inference in water quality problems with emphasis on TDS Karkheh River in Iran. Scientific Reports 15 (1) , 2798. 10.1038/s41598-025-85908-0

Amini, Hossein, Lanzoni, Stefano, Monegaglia, Federico, Tubino, Marco and Zolezzi, Guido 2024. A model-based characterization of confined meandering rivers. Geomorphology 466 , 109427. 10.1016/j.geomorph.2024.109427

Amini, Hossein, Monegaglia, Federico, Shakeri, Reza, Tubino, Marco and Zolezzi, Guido 2024. Meanders on the move: Can AI-based solutions predict where they will be located? Water 16 (17) , 2460. 10.3390/w16172460

Amini, H., Monegaglia, F., Ridolfi, M., Tubino, M., Zolezzi, G. and Lanzoni, S. 2024. Simulation of potential meandering belt width using a physics-based morphodynamic model. Presented at: 11th International Conference on Fluvial Hydraulics (River Flow 2022), Kingston & Ottawa, Canada, 8-10 November 2022. Published in: Ferreira da Silva, Ana Maria, Rennie, Colin, Gaskin, Susan, Lacey, Jay and MacVicar, Bruce eds. River Flow 2022. London: CRC Press, pp. 456-461. 10.1201/9781003323037-52

Masigol, Hossein, Retter, Alice, Pourmoghaddam, Mohammad Javad, Amini, Hossein, Taheri, Seyedeh Roksana, Mostowfizadeh-Ghalamfarsa, Reza, Kimiaei, Mahyar and Grossart, Hans-Peter 2023. Opening Pandora's box: Neglected biochemical potential of permafrost-associated fungal communities in a warming climate. Journal of Fungi 10 (1) , 20. 10.3390/jof10010020

Shakeri, Reza, Amini, Hossein, Fakheri, Farshid and Ketabchi, Hamed 2023. Assessment of drought conditions and prediction by machine learning algorithms using Standardized Precipitation Index and Standardized Water-Level Index (case study: Yazd province, Iran). Environmental Science and Pollution Research 30 (45) , 101744–101760. 10.1007/s11356-023-29522-5

Amini, H., Zen, S., Monegaglia, F., Lanzoni, S., Tubino, M. and Zolezzi, G. 2020. Modeling the planform development of confined meandering rivers. Presented at: 10th Conference on Fluvial Hydraulics (River Flow 2020), Delft, Netherlands, 7-10 July 2020. Published in: Uijttewaal, Wim, Franca, Mário J., Valero, Daniel, Chavarrias, Victor, Ylla Arbós, Clàudia, Schielen, Ralph and Crosato, Alessandra eds. River Flow 2020. London: CRC Press, pp. 517-523. 10.1201/b22619-73

This list was generated on Fri Sep 18 04:11:08 2026 BST.