About
Summary
Integrated Computational Engineering and Data-Driven Materials Discovery and Design
Positions
Marie Sklodowska-Curie Post-Doctoral Fellow Oct 2019 -
Research Intern May 2018 - Oct 2018
Skolkovo Institute of Science and Technology
Simulation of material hardness using machine learning inter atomic potentials from first principles
Research Assistant Nov 2017 - Apr 2018
Visiting researcher Sep 2017 - Oct 2017
Education
University of Tehran 2012 - 2014
Field of study: Chemical Engineering
Degree: M. SC.
University of Tehran 2007 - 2011
Field of study: Chemical Engineering
Degree: B. SC.
Skills
▪ Excellent team player, gained through working with different international research groups
▪ Excellent adjustment to new work environment, gained through working on different topics in different research groups
▪ Excellent productivity and efficiency, gained through collaborating with top-notch research groups
▪ Strong mathematical and programming skills, gained through in-depth undergrad training
▪ Strong understanding of process design from scratch and on-demand optimization or scale-up, gained through in-depth undergrad training and industrial internship
▪ Good teaching and mentoring skills, gained through working as teacher assistant for 2 years during undergrad studies
▪ Excellent command of professional suites (LAMMPS, VASP, CHARMM, C++, Fortran, Python, bash, LaTeX, git, Matlab, Discovery Studio, Materials Studio, Aspen Modelling, …)
Professional interests
Process design for pharmaceutical
Computer aided drug design
Solvent selection
Food and beverages industry
Semiconductors, electronics, photovoltaic, solar cell
Data centres, IoT, toolbox developers
Data analysis
Machine learning pipelines
Quality control
Aerospace, defence, coating, protective shields
Greenhouse gas capture and storage technologies
Applied mathematics
Process controller design and integration
Computational catalyst design
Environmental pollution monitoring
Force field development and optimization
CV
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Contact details
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