Bio

Amir specializes in mineral processing and computational materials science. He has worked on flowsheet and technology development and optimization for the extraction of critical minerals including copper, phosphate, graphite, and rare earth minerals. At Stanford, he investigates the electronic structure of critical minerals and their interfaces with water and chemical reagents using quantum mechanical computations and artificial intelligence (AI). Amir's research focuses on developing an intelligent framework to discover, design, and validate novel reagents that enable selective and sustainable recovery of critical materials from primary and secondary resources.
In addition, Amir collaborates on AI-driven optimization and design of mineral processing operations under uncertainty.

Honors & Awards

  • Henry DeWitt Smith Graduate Award, SME (2020)
  • Lewis E. and Elizabeth W. Young Award, SME (2022)
  • Raja V. and Geetha V. Ramani Graduate Student Award, SME (2023)
  • Charles B. Manula Memorial Scholarship, Penn State (2022, 2023)
  • Fuel Science Award, Penn State (2023)

Boards, Advisory Committees, Professional Organizations

  • Member, American Institute of Chemical Engineers (2025 - Present)
  • Member, Society for Mining, Metallurgy, and Exploration (2018 - 2025)

Professional Education

  • Ph.D., Penn State, Energy and Mineral Engineering (2024)
  • Ph.D. Minor, Penn State, Computational Materials Science (2024)
  • M.S., West Virginia University, Mineral Processing (2021)
  • M.S., Tarbiat Modares University, Mineral Processing (2016)
  • B.S., Bahonar University, Mineral Engineering (2013)

Stanford Advisors

Contact

  • Academic
    eskanlou@stanford.edu
    University - Scholar Department: Earth & Planetary Sciences Position: Postdoctoral Scholar

Additional Info

  • Mail Code: 2115

Links

Research Interests

  • Data Sciences
  • Research Methods

Projects

  • AI-Driven Discovery and Design of Selective Reagents and Ligands for Critical Minerals Extraction

    Location

    Stanford, CA

  • Improving Phosphate Recovery Using Process Mineralogy of Flotation Tailings

    Location

    Morocco

  • AI-Driven Optimization under Uncertainty for Mineral Processing (Collaboration)

    Location

    Stanford, CA

All Publications