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Dr Afshin Ghahramani

Dr Afshin Ghahramani
Name Afshin Ghahramani
Position Senior Research Fellow (Agricultural Systems Modelling)
Section Centre for Sustainable Agricultural Systems (Operations)
Office Q527
Location Toowoomba Campus
Phone +61 7 4631 1178
Extension 1178
Email
Qualifications MAg Tokyo Ag & Tech , PhD Tokyo Ag & Tech

Fields of Research (FoR)

  • Surface Processes ( 040607 )
  • Environmental Sciences ( 050000 )
  • Soil Physics ( 050305 )
  • Agricultural Systems Analysis and Modelling ( 070105 )
  • Farming Systems Research ( 070107 )
  • Agro-ecosystem Functionand Prediction ( 070301 )
  • Surfacewater Hydrology ( 040608 )
  • Agriculture ( 300200 )
  • Soil Physics ( 410605 )
  • Agricultural Systems Analysis And Modelling ( 300207 )
  • Environmental Sciences ( 410000 )
  • Agro-Ecosystem Function And Prediction ( 300402 )
  • Surface Water Hydrology ( 370704 )
  • Geomorphology And Earth Surface Processes ( 370901 )

Research interests
Enquiries about Postgraduate research are welcome. Please contact to discuss opportunities.

Professional memberships
Soil science Society Australia

USQ Research affiliations

  • Institute for Life Sciences and the Environment (ILSE)
  • Centre for Sustainable Agricultural Systems (CSAS)



Publications in ePrints

Ali, Aram ORCID: https://orcid.org/0000-0003-2986-9220 and Bennett, John McL and Biggs, Andrew A. J. and Marchuk, Alla and Ghahramani, AfshinORCID: https://orcid.org/0000-0002-9648-4606 (2021) Assessing the hydraulic reduction performance of HYDRUS-1D for application of alkaline irrigation in variably-saturated soils: Validation of pH driven hydraulic reduction scaling factors. Agricultural Water Management, 256:107101. pp. 1-13. ISSN 0378-3774

Sepehri, Mehdi and Ghahramani, AfshinORCID: https://orcid.org/0000-0002-9648-4606 and Kiani-Harchegani, Mahboobeh and Ildoromi, Ali Reza and Talebi, Ali and Rodrigo-Comino, Jesus (2021) Assessment of drainage network analysis methods to rank sediment yield hotspots. Hydrological Sciences Journal, 66 (5). pp. 904-918. ISSN 0262-6667

Ahmed, A. A. Masrur and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Raj, Nawin and Ghahramani, AfshinORCID: https://orcid.org/0000-0002-9648-4606 and Feng, Qi and Yin, Zhenliang and Yang, Linshan (2021) Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data. Remote Sensing, 13 (4):554. pp. 1-30.

Ahmed, A. A. Masrur and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Feng, Qi and Ghahramani, AfshinORCID: https://orcid.org/0000-0002-9648-4606 and Raj, Nawin and Yin, Zhenliang and Yang, Linshan (2021) Deep learning hybrid model with Boruta-Random forest optimiser algorithm for streamflow forecasting with climate mode indices, rainfall, and periodicity. Journal of Hydrology, 599:126350. pp. 1-23. ISSN 0022-1694

Wallach, Daniel and Palosuo, Taru and Thorburn, Peter and Gourdain, Emmanuelle and Asseng, Senthold and Basso, Bruno and Buis, Samuel and Crout, Neil and Dibari, Camilla and Dumont, Benjamin and Ferrise, Roberto and Gaiser, Thomas and Garcia, Cecile and Gayler, Sebastian and Ghahramani, AfshinORCID: https://orcid.org/0000-0002-9648-4606 and Hochman, Zvi and Hoek, Steven and Hoogenboom, Gerrit and Horan, Heidi and Huang, Mingxia and Jabloun, Mohamed and Jing, Qi and Justes, Eric and Kersebaum, Kurt Christian and Klosterhalfen, Anne and Launay, Marie and Luo, Qunying and Maestrini, Bernardo and Mielenz, Henrike and Moriondo, Marco and Zadeh, Hasti Nariman and Olesen, Jorgen Eivind and Poyda, Arne and Priesack, Eckart and Pullens, Johannes Wilhelmus Maria and Qian, Budong and Schutze, Niels and Shelia, Vakhtang and Souissi, Amir and Specka, Xenia and Srivastava, Amit Kumar and Stella, Tommaso and Streck, Thilo and Trombi, Giacomo and Wallor, Evelyn and Wang, Jing and Weber, Tobias K. D. and Weihermuller, Lutz and de Wit, Allard and Wohling, Thomas and Xiao, Liujun and Zhao, Chuang and Zhu, Yan and Seidel, Sabine J. (2021) How well do crop modeling groups predict wheat phenology, given calibration data from the target population? European Journal of Agronomy, 124:126195. pp. 1-10. ISSN 1161-0301

View full listing in ePrints

Approved research supervisor in the area of:

  • Surface Processes ( 040607 )
  • Soil Physics ( 050305 )
  • Agricultural Systems Analysis and Modelling ( 070105 )
  • Farming Systems Research ( 070107 )
  • Agro-ecosystem Functionand Prediction ( 070301 )
  • Surfacewater Hydrology ( 040608 )
  • Agriculture ( 300200 )
  • Soil Physics ( 410605 )
  • Agricultural Systems Analysis And Modelling ( 300207 )
  • Environmental Sciences ( 410000 )
  • Agro-Ecosystem Function And Prediction ( 300402 )
  • Surface Water Hydrology ( 370704 )
  • Geomorphology And Earth Surface Processes ( 370901 )


Research topics