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Mathematical Geosciences, Mineral Exploration, Geoinformatics, Geochemical Exploration, Geophysical Exploration, Geostatistical Analysis, Spatial Analysis, Mineral Prospectivity Mapping, Machine Learning, Deep Learning, Geospatial Signal Processing, Blind Source Separation, Anomaly Detection, Censored Data Analysis, Geometallurgical Modeling
Iran, France

Biography

Saeid's professional mission is to develop and disseminate expertise/knowledge in predictive modeling of prospecting-scale (2D; greenfields) metal exploration targets to mining-scale (3D & 4D; brownfields) ore enrichment patterns through understanding and conceptualizing of mathematical geosciences, on the whole, of signal processing, machine learning, deep learning, and spatio-geologically weighted/informed technologies. Saeid is also an enthusiast in scripting relevant software programs over the MATLAB, R, and Python programming languages.

Activities

Employment (2)

National Iranian Copper Industries Company: Tehran, Tehran, IR

2023-09-06 to present | Senior Researcher (Centre for Exploration Data Mining)
Employment
Source: Self-asserted source
Saeid Esmaeiloghli

Isfahan University of Technology: Isfahan, IR

2022-04-21 to 2022-08-22 | Research Assistant (Department of Mining Engineering)
Employment
Source: Self-asserted source
Saeid Esmaeiloghli

Education and qualifications (3)

Isfahan University of Technology: Isfahan, Isfahan, IR

2014-09-23 to 2021-11-06 | Doctor of Philosophy (Department of Mining Engineering)
Education
Source: Self-asserted source
Saeid Esmaeiloghli

Sahand University of Technology: Tabriz, East Azerbaijan, IR

2011-09-23 to 2013-10-06 | Master of Science (Mining Engineering)
Qualification
Source: Self-asserted source
Saeid Esmaeiloghli

Sahand University of Technology: Tabriz, East Azerbaijan, IR

2005-09-23 to 2011-02-19 | Bachelor of Science (Mining Engineering)
Qualification
Source: Self-asserted source
Saeid Esmaeiloghli

Professional activities (1)

Institut de Recherche en Astrophysique et Planétologie: Toulouse, Midi-Pyrénées, FR

2018-03-20 | Visiting Researcher (Signal-Images en Sciences de l'Univers (SISU))
Distinction
Source: Self-asserted source
Saeid Esmaeiloghli

Funding (1)

Ph.D. Sabbatical Leave

2018-03 to 2018-10 | Grant
Ministry of Science, Research and Technology (Tehran, IR)
Source: Self-asserted source
Saeid Esmaeiloghli

Works (8)

Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns

Mathematical Geosciences
2024-08 | Journal article
Contributors: Saeid Esmaeiloghli; Seyed Hassan Tabatabaei; Shahram Hosseini; Yannick Deville; Emmanuel John M. Carranza
Source: check_circle
Crossref

Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization

Computers & Geosciences
2023-06 | Journal article
Contributors: Saeid Esmaeiloghli; Seyed Hassan Tabatabaei; Emmanuel John M. Carranza
Source: check_circle
Crossref

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

Journal of Geochemical Exploration
2023-03 | Journal article
Part of ISSN: 0375-6742
Contributors: Saeid Esmaeiloghli; Seyed Hassan Tabatabaei; Emmanuel John M. Carranza
Source: Self-asserted source
Saeid Esmaeiloghli

3DU–TA: A new multifractal model involving surface topography for separation of geochemical anomalies

Journal of Geochemical Exploration
2022 | Journal article
EID:

2-s2.0-85135573841

Part of ISSN: 03756742
Contributors: Esmaeiloghli, S.; Tabatabaei, S.H.; Carranza, E.J.M.
Source: Self-asserted source
Saeid Esmaeiloghli via Scopus - Elsevier
grade
Preferred source (of 2)‎

Spatially-Weighted Factor Analysis for Extraction of Source-Oriented Mineralization Feature in 3D Coordinates of Surface Geochemical Signal

Natural Resources Research
2021 | Journal article
EID:

2-s2.0-85113534412

Part of ISSN: 15738981 15207439
Contributors: Esmaeiloghli, S.; Tabatabaei, S.H.; Carranza, E.J.M.; Hosseini, S.; Deville, Y.
Source: Self-asserted source
Saeid Esmaeiloghli via Scopus - Elsevier
grade
Preferred source (of 2)‎

Spatio-Geologically Informed Fuzzy Classification: An Innovative Method for Recognition of Mineralization-Related Patterns by Integration of Elemental, 3D Spatial, and Geological Information

Natural Resources Research
2021 | Journal article
EID:

2-s2.0-85099026389

Part of ISSN: 15738981 15207439
Contributors: Esmaeiloghli, S.; Tabatabaei, S.H.; Carranza, E.J.M.
Source: Self-asserted source
Saeid Esmaeiloghli via Scopus - Elsevier
grade
Preferred source (of 2)‎

Comparative Analysis of Geochemical Data Processing Methods for Allocation of Anomalies and Background

Geochemistry International
2020 | Journal article
EID:

2-s2.0-85083320490

Part of ISSN: 15561968 00167029
Contributors: Esmaeiloghli, S.; Tabatabaei, S.H.
Source: Self-asserted source
Saeid Esmaeiloghli via Scopus - Elsevier
grade
Preferred source (of 2)‎

Optimizing grade classification model of mineralized zones using a learning method based on harmony search algorithm

International Journal of Mining and Geo-Engineering
2019 | Journal article
EID:

2-s2.0-85080046981

Part of ISSN: 23456949 23456930
Contributors: Esmaeiloghli, S.; Tabatabaei, S.H.; Mokhtari, A.R.
Source: Self-asserted source
Saeid Esmaeiloghli via Scopus - Elsevier

Peer review (41 reviews for 7 publications/grants)

Review activity for Applied geochemistry (2)
Review activity for Computers & geosciences. (4)
Review activity for Mathematics. (5)
Review activity for Minerals. (6)
Review activity for Ore geology reviews (19)
Review activity for Processes. (3)
Review activity for Remote sensing applications. (2)