Mohammadbagher Fathi Editor at IgMin Research
Our purpose is to inspire cross-field connections that drive new insights and developments.
Biography
PhD graduated in Mining Engineering- Mineral Processing (Precious and REEs) at Amirkabir University of Technology, Iran, 2017.
A Process Engineer who conducted several projects in private companies (Copper and Alumina processing).
Assistant professor at the Department of Mining Engineering, Urmia University, Iran (2012-2022).
Research Fellow in Geometallurgy/Engineering Geology- RRC project (pathways to production/ critical minerals) at CODES | School of Natural Sciences, University of Tasmania, Australia, 2023 - Present.
Research Interest
Mining Engineering, Mineral Processing, Environmental Geology.
Editor
Work Details
Research Fellow in Geometallurgy
University of Tasmania
School of Natural Sciences
Australia
0000-0001-7744-605X Contribution by Topic Area
Why publish with us?
Global Visibility – Indexed in major databases
Fast Peer Review – Decision within 14–21 days
Open Access – Maximize readership and citation
Multidisciplinary Scope – Biology, Medicine and Engineering
Editorial Board Excellence – Global experts involved
University Library Indexing – Via OCLC
Permanent Archiving – CrossRef DOI
APC – Affordable APCs with discounts
Citation – High Citation Potential
Which articles are now trending?
Research Articles
- Clustering of Three-dimensional (3-D) Objects by Means of Phase- only Digital Holographic Information using Machine Learning
- Technical & Economic Feasibility Study of Proposed Pump Storage Power Plants at Kuda Oya, Mul Oya, Gurugal Oya, and Dambagasthalawa
- Gaussian-Transform for the Dirac Wave Function and its Application to the Multicenter Molecular Integral Over Dirac Wave Functions for Solving the Molecular Matrix Dirac Equation
- The Lukala Cement Plant's Life Cycle Analysis: Towards a More Sustainable Production
- Assessing Bee (Hymenoptera, Apoidea, Anthophila) Diversity and Floral Preference in Two Habitats in the Iberian Peninsula
- Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
