Scholar
Ivan Zanardi
Google Scholar ID: xvR8KBQAAAAJ
PhD Candidate, University of Illinois at Urbana-Champaign
Citations & Impact
Citations
81
H-index
6
i10-index
2
Publications
14
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- No specific information provided on academic achievements.
Research Experience
- Currently working on projects sponsored by or in collaboration with LLNL, NASA, and DoD, with tools deployed in both high-fidelity CFD workflows and data-driven modeling pipelines.
Education
- Ph.D. in Aerospace Engineering from the University of Illinois Urbana-Champaign; Bachelor's and Master's degrees in Aerospace Engineering from Politecnico di Milano (Bachelor's in 2017, Master's in 2020).
Background
- Research Interests: Scientific machine learning, surrogate and reduced-order modeling, scientific computing, nonequilibrium plasma physics. Professional field: At the intersection of applied mathematics, machine learning, and plasma physics. Brief introduction: A recent Ph.D. graduate in Aerospace Engineering at the University of Illinois Urbana-Champaign, focusing on developing fast, physics-informed surrogate models for nonequilibrium plasma flows, with applications in hypersonic reentry, fusion energy, and astrophysical flows.
Miscellany
- Personal interests: Actively looking for postdoc or research scientist roles in applied machine learning and computational modeling, ideally in national labs, startups, or research-driven industry.
