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


  • 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


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