Dr. Seyed Hassan Tabatabaei tabatabaei@iut.ac.ir Office Department of Mining Engineering, Isfahan University of Technology (IUT), Isfahan, Iran. P.C: 84156883111 Phone +98 311 3915104 Fax +98 311 3912776 Positions Professor of Mining Engineering Research Interests Geochemical exploration of metallic and non-metallic deposits GIS & RS Data Mining Environmental Geochemistry Dr. Seyed Hassan Tabatabaei type: Journal Title DOI type Date Adopting a cell-based method to identify mineralized geological structures in support of mineral prospectivity mapping at the Kuh-Lakht epithermal gold deposit, Central Iran 10.1016/j.oregeorev.2024.106175 Journal 2024-07 Geologically-constrained GANomaly network for mineral prospectivity mapping through frequency domain training data 10.1038/s41598-024-56644-8 Journal 2024-03 Improving the accuracy of detecting and ranking favorable porphyry copper prospects in the east of Sarcheshmeh copper mine region using a two-step sequential Fuzzy - Fuzzy TOPSIS integration approach 10.1016/j.jaesx.2023.100166 Journal 2023-12 Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns 10.1007/s11004-023-10101-w Journal 2023-10 Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization 10.1016/j.cageo.2023.105341 Journal 2023-06 Data-driven logistic function for weighting of geophysical evidence layers in mineral prospectivity mapping 10.1016/j.jappgeo.2023.104986 Journal 2023-05 Empirical mode decomposition and power spectrum filtering for detection of frequency channels related to multi-scale geochemical anomalies: Metal exploration targeting in Moalleman district, NE Iran 10.1016/j.gexplo.2023.107157 Journal 2023-03 Regimentation of geochemical indicator elements employing convolutional deep learning algorithm 10.3389/fenvs.2023.1076302 Journal 2023-02 Execution of an applicable hybrid integration procedure for mineral prospectivity mapping 10.1007/s12517-022-11094-2 Journal 2022-12 3DU-TA: A new multifractal model involving surface topography for separation of geochemical anomalies 10.1016/j.gexplo.2022.107061 Journal 2022-10