Amir Eskanlou
Postdoctoral Scholar, Earth and Planetary Sciences
Bio
Amir is a postdoctoral scholar at Stanford Mineral-X. With 15 years of research and industry experience, his background includes the development and optimization of mineral processing flowsheets for copper, phosphate, graphite and rare earth elements (REEs) from primary and secondary resources. At Stanford, he conducts research related to various aspects of critical minerals processing, including AI-driven reagent discovery, uncertainty quantification, circuit design, and optimization of energy and water consumption.
Honors & Awards
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Henry DeWitt Smith Graduate Award, SME (2020)
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Lewis E. and Elizabeth W. Young Award, SME (2022)
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Raja V. and Geetha V. Ramani Graduate Student Award, SME (2023)
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Charles B. Manula Memorial Scholarship, Penn State (2022, 2023)
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Fuel Science Award, Penn State (2023)
Boards, Advisory Committees, Professional Organizations
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Member, American Institute of Chemical Engineers (2025 - Present)
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Member, Society for Mining, Metallurgy, and Exploration (2018 - 2025)
Professional Education
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Ph.D., Penn State, Energy and Mineral Engineering (2024)
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Ph.D. Minor, Penn State, Computational Materials Science (2024)
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M.S., West Virginia University, Mineral Processing (2021)
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M.S., Tarbiat Modares University, Mineral Processing (2016)
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B.S., Bahonar University, Mineral Engineering (2013)
Research Interests
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Data Sciences
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Research Methods
Projects
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AI-Driven Discovery and Design of Selective Reagents and Ligands for Critical Minerals Extraction
Location
Stanford, CA
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Improving Phosphate Recovery Using Process Mineralogy of Flotation Tailings
Location
Morocco
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AI-Driven Optimization under Uncertainty for Mineral Processing (Collaboration)
Location
Stanford, CA
All Publications
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Gaussian process regression for modeling computational and experimental mineral processing data
MINERALS ENGINEERING
2026; 237
View details for DOI 10.1016/j.mineng.2025.110000
View details for Web of Science ID 001640757100001
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Optimizing flotation separation of fluorapatite from Florida waste clay using a multiscale approach
APPLIED SURFACE SCIENCE
2024; 662
View details for DOI 10.1016/j.apsusc.2024.160067
View details for Web of Science ID 001231049200001
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Stability of gold-polysulphide species: a DFT insight
BULLETIN OF MATERIALS SCIENCE
2023; 46 (2)
View details for DOI 10.1007/s12034-023-02902-w
View details for Web of Science ID 000957502200003
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De-sliming followed by froth flotation for the recovery of phosphorus and enrichment of rare earth elements from Florida waste clay
RESOURCES CONSERVATION AND RECYCLING
2022; 178
View details for DOI 10.1016/j.resconrec.2021.106049
View details for Web of Science ID 000767507800001
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Effect of Al<SUP>3+</SUP> and Mg<SUP>2+</SUP> on the flotation of fluorapatite using fatty- and hydroxamic-acid collectors - A multiscale investigation
APPLIED SURFACE SCIENCE
2022; 572
View details for DOI 10.1016/j.apsusc.2021.151499
View details for Web of Science ID 000725227500006
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The significance of positive and negative inertial forces in Particle-Bubble interaction and their role in the general flotation kinetics model
MINERALS ENGINEERING
2021; 170
View details for DOI 10.1016/j.mineng.2021.107006
View details for Web of Science ID 000687329300008
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Phosphatic waste clay: Origin, composition, physicochemical properties, challenges, values and possible remedies-A review
MINERALS ENGINEERING
2021; 162
View details for DOI 10.1016/j.mineng.2020.106745
View details for Web of Science ID 000613262600002
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Determination of the mass transfer rate constant in a laboratory column flotation using the bubble active surface coefficient
MINERALS ENGINEERING
2020; 156
View details for DOI 10.1016/j.mineng.2020.106521
View details for Web of Science ID 000553990100034
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Modeling the bubble loading based on force balance on the particles attached to the bubble
COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS
2019; 582
View details for DOI 10.1016/j.colsurfa.2019.123892
View details for Web of Science ID 000489727400047
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Investigation of trajectory and rise velocity of loaded and bare single bubbles in flotation process using video processing technique
SEPARATION SCIENCE AND TECHNOLOGY
2019; 54 (11): 1795-1802
View details for DOI 10.1080/01496395.2018.1539104
View details for Web of Science ID 000470885100009
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Bubble loading profiles in a flotation column
PHYSICOCHEMICAL PROBLEMS OF MINERAL PROCESSING
2018; 54 (2): 355-362
View details for DOI 10.5277/ppmp1819
View details for Web of Science ID 000439387100015
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Estimation of flotation rate constant and collision efficiency using regression and artificial neural networks
SEPARATION SCIENCE AND TECHNOLOGY
2018; 53 (2): 374-388
View details for DOI 10.1080/01496395.2017.1386216
View details for Web of Science ID 000418081300016