Yousef Ghorbani

University of Lincoln

United Kingdom

Research Interests

Explore related searches

Professors in United Kingdom Professors in Geology Geology professors in United Kingdom

Contact this professor

ORCID

Google Scholar

Positions (1)

Yousef Ghorbani

University Name

University of Lincoln

NaN years ago

Developing a data-economic, AI-driven platform for discovering and optimizing lithium-based molten salts

<div class="feed-shared-inline-show-more-text feed-shared-update-v2__description feed-shared-inline-show-more-text--minimal-padding feed-shared-inline

NaN years ago

Articles (18)

Lithium recovery from waste aluminum electrolyte via bioleaching: Comparative insights into acidic and alkaline pathways using Aspergillus niger and Glutamicibacter nicotianae

Article Link

Year:

2025

Optimisation of rare earth element extraction from apatite ore: case study of Qarabag mica mine

Article Link

Year:

2025

Enhanced oxidative bioleaching for nickel and metal recovery from arsenic ores moves toward efficient and sustainable extraction

Article Link

Year:

2025

Rare earth permanent magnets for the green energy transition: Bottlenecks, current developments and cleaner production solutions

Article Link

Year:

2025

Application of Anti-Solvent Crystallization for High-Purity Potash Production from K-Feldspar Leaching Solution

Article Link

Year:

2024

A systematic framework for compilation of critical raw material lists and their importance for South Africa

Article Link

Year:

2024

The strategic role of lithium in the green energy transition: Towards an OPEC-style framework for green energy-mineral exporting countries (GEMEC)

Article Link

Year:

2024

Deriving big geochemical data from high-resolution remote sensing data via machine learning: Application to a tailing storage facility in the Witwatersrand goldfields

Article Link

Year:

2023

Quantifying the variability of a complex ore using geometallurgical domains

Article Link

Year:

2023

From waste to wealth: Unlocking the value of copper anode slimes through systematic characterization and pretreatment

Article Link

Year:

2023

Moving towards deep underground mineral resources: Drivers, challenges and potential solutions

Article Link

Year:

2023

Corrigendum to “Ore mineralogy and trace element (re)distribution at the metamorphosed Lappberget Zn-Pb-Ag-(Cu-Au) deposit, Garpenberg, Sweden” [Ore Geol. Rev. 135 (2021) 104223] (Ore Geology Reviews (2021) 135, (S0169136821002493), (10.1016/j.oregeorev.2021.104223))

Article Link

Year:

2023

Dry laboratories – Mapping the required instrumentation and infrastructure for online monitoring, analysis, and characterization in the mineral industry

Article Link

Year:

2023

Machine Learning-Based Delineation of Geodomain Boundaries: A Proof-of-Concept Study Using Data from the Witwatersrand Goldfields

Article Link

Year:

2023

The interaction and synergic effect of particle size on flotation efficiency: A comparison study of recovery by size, and by liberation between lab and industrial scale data,Sinergijski utjecaj djelovanja veličine zrna na učinkovitost flotacije: usporedba laboratorijskih i industrijskih podataka o iskorištenju korisne komponente u koncentratu ovisno o veličini zrna i raščinu (stupnju oslobođenja)

Article Link

Year:

2023

Emerging criticality: Unraveling shifting dynamics of the EU's critical raw materials and their implications on Canada and South Africa

Article Link

Year:

2023

Advanced geochemical exploration knowledge using machine learning: Prediction of unknown elemental concentrations and operational prioritization of Re-analysis campaigns

Article Link

Year:

2022

Artificial intelligence-based anomaly detection of the Assen iron deposit in South Africa using remote sensing data from the Landsat-8 Operational Land Imager

Article Link

Year:

2022

Collaborators (2)

Seyed Mohammad Raouf Hosseini

Coventry University

UNITED KINGDOM

Jan Rosenkranz

Chaired Professor

Luleå tekniska universitet

SWEDEN

Yousef Ghorbani

Research Interests

Explore related searches

Contact this professor

Positions (1)

Developing a data-economic, AI-driven platform for discovering and optimizing lithium-based molten salts

Articles (18)

Lithium recovery from waste aluminum electrolyte via bioleaching: Comparative insights into acidic and alkaline pathways using Aspergillus niger and Glutamicibacter nicotianae

Optimisation of rare earth element extraction from apatite ore: case study of Qarabag mica mine

Enhanced oxidative bioleaching for nickel and metal recovery from arsenic ores moves toward efficient and sustainable extraction

Rare earth permanent magnets for the green energy transition: Bottlenecks, current developments and cleaner production solutions

Application of Anti-Solvent Crystallization for High-Purity Potash Production from K-Feldspar Leaching Solution

A systematic framework for compilation of critical raw material lists and their importance for South Africa

The strategic role of lithium in the green energy transition: Towards an OPEC-style framework for green energy-mineral exporting countries (GEMEC)

Deriving big geochemical data from high-resolution remote sensing data via machine learning: Application to a tailing storage facility in the Witwatersrand goldfields

Quantifying the variability of a complex ore using geometallurgical domains

From waste to wealth: Unlocking the value of copper anode slimes through systematic characterization and pretreatment

Moving towards deep underground mineral resources: Drivers, challenges and potential solutions

Corrigendum to “Ore mineralogy and trace element (re)distribution at the metamorphosed Lappberget Zn-Pb-Ag-(Cu-Au) deposit, Garpenberg, Sweden” [Ore Geol. Rev. 135 (2021) 104223] (Ore Geology Reviews (2021) 135, (S0169136821002493), (10.1016/j.oregeorev.2021.104223))

Dry laboratories – Mapping the required instrumentation and infrastructure for online monitoring, analysis, and characterization in the mineral industry

Machine Learning-Based Delineation of Geodomain Boundaries: A Proof-of-Concept Study Using Data from the Witwatersrand Goldfields

Emerging criticality: Unraveling shifting dynamics of the EU's critical raw materials and their implications on Canada and South Africa

Advanced geochemical exploration knowledge using machine learning: Prediction of unknown elemental concentrations and operational prioritization of Re-analysis campaigns

Artificial intelligence-based anomaly detection of the Assen iron deposit in South Africa using remote sensing data from the Landsat-8 Operational Land Imager

Collaborators (2)

Seyed Mohammad Raouf Hosseini

Jan Rosenkranz

How do I reach out?

Meet Kite AI