Dr Ehsan Farahbakhsh
Dr. Ehsan Farahbakhsh is a Postdoctoral Research Fellow with the EarthByte Group at the School of Geosciences, University of Sydney. He holds a PhD in Mining Engineering - Mineral Exploration, and his expertise lies at the intersection of geoscience and advanced data analytics. Currently, he is involved in several projects in the scope of developing data science applications, particularly machine learning and deep learning in mineral exploration, aiming to create reliable multidimensional prospectivity models. His work extends to the advanced processing of remote sensing data, wherein he utilises his analytical skills to uncover insights for geological and environmental applications. His research has implications for developing sustainable exploration practices and monitoring environmental changes, contributing to a deeper comprehension of Earth’s resources and the impacts of human activities on natural landscapes.
His research interests are multidimensional mineral prospectivity modeling, geological remote sensing, and data science applications in mineral exploration.
Australian Society of Exploration Geophysicists
Geological Society of Australia
International Association for Mathematical Geosciences
European Geosciences Union
Distinguished Talent under Global Talent Independent Program (March 2021)
| Project title | Research student |
|---|---|
| Deep-time exploration for mineral deposits along convergent margins | Elnaz HEIDARI |
| Spatio-Temporal Data Mining for Mineral Exploration | Hojat SHIRMARDGOURAVAN |
Publications
Journals
- Nagar, S., Farahbakhsh, E., Awange, J., Chandra, R. (2024). Remote sensing framework for geological mapping via stacked autoencoders and clustering. Advances in Space Research. [More Information]
- Farahbakhsh, E., Maughan, J., Muller, D. (2023). Prospectivity modelling of critical mineral deposits using a generative adversarial network with oversampling and positive-unlabelled bagging. Ore Geology Reviews, 162, 105665. [More Information]
- Shirmard, H., Farahbakhsh, E., Heidari, E., Pour, A., Pradhan, B., Muller, D., Chandra, R. (2022). A Comparative Study of Convolutional Neural Networks and Conventional Machine Learning Models for Lithological Mapping Using Remote Sensing Data. Remote Sensing, 14(4), 819. [More Information]
2024
- Nagar, S., Farahbakhsh, E., Awange, J., Chandra, R. (2024). Remote sensing framework for geological mapping via stacked autoencoders and clustering. Advances in Space Research. [More Information]
2023
- Farahbakhsh, E., Maughan, J., Muller, D. (2023). Prospectivity modelling of critical mineral deposits using a generative adversarial network with oversampling and positive-unlabelled bagging. Ore Geology Reviews, 162, 105665. [More Information]
2022
- Shirmard, H., Farahbakhsh, E., Heidari, E., Pour, A., Pradhan, B., Muller, D., Chandra, R. (2022). A Comparative Study of Convolutional Neural Networks and Conventional Machine Learning Models for Lithological Mapping Using Remote Sensing Data. Remote Sensing, 14(4), 819. [More Information]
- Shirmard, H., Farahbakhsh, E., Muller, D., Chandra, R. (2022). A review of machine learning in processing remote sensing data for mineral exploration. Remote Sensing of Environment, 268, 112750. [More Information]
2021
- Olierook, H., Scalzo, R., Kohn, D., Chandra, R., Farahbakhsh, E., Clark, C., Reddy, S., Muller, D. (2021). Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models. Geoscience Frontiers, 12(1), 479-493. [More Information]
- Maleki, M., Niroomand, S., Farahbakhsh, E., Modabberi, S., Ali Tajeddin, H. (2021). Hydrothermal alteration and structural mapping of the Qolqoleh-Kasnazan shear zone in Iran using remote sensing data. Arabian Journal of Geosciences, 14(16 article 1576), 1-14. [More Information]
2020
- Farahbakhsh, E., Hezarkhani, A., Eslamkish, T., Bahroudi, A., Chandra, R. (2020). 3DWofE: An open-source software package for three-dimensional weights of evidence modeling. Software Impacts, 6(Article 100039), 100039. [More Information]
- Farahbakhsh, E., Chandra, R., Olierook, H., Scalzo, R., Clark, C., Reddy, S., Muller, D. (2020). Computer vision-based framework for extracting tectonic lineaments from optical remote sensing data. International Journal of Remote Sensing, 41(5), 1760-1787. [More Information]
- Shirmard, H., Farahbakhsh, E., Pour, A., Muslim, A., Muller, D., Chandra, R. (2020). Integration of selective dimensionality reduction techniques for mineral exploration using ASTER satellite data. Remote Sensing, 12(8), 1-29. [More Information]
2019
- Farahbakhsh, E., Chandra, R., Eslamkish, T., Muller, D. (2019). Modeling geochemical anomalies of stream sediment data through a weighted drainage catchment basin method for detecting porphyry Cu-Au mineralization. Journal Of Geochemical Exploration, 204, 12-32. [More Information]
2016
- Farahbakhsh, E., Shirmard, H., Bahroudi, A., Eslamkish, T. (2016). Fusing ASTER and QuickBird-2 Satellite Data for Detailed Investigation of Porphyry Copper Deposits Using PCA; Case Study of Naysian Deposit, Iran. Journal of the Indian Society of Remote Sensing, 44(4), 525-537. [More Information]
2015
- Ghannadpour, S., Hezarkhani, A., Maghsoudi, A., Farahbakhsh, E. (2015). Assessment of prospective areas for providing the geochemical anomaly maps of lead and zinc in Parkam district, Kerman, Iran. Geosciences Journal, 19(3), 431-440. [More Information]