Scholar
Matteo Parsani
Google Scholar ID: Vj2D8JQAAAAJ
King Abdullah University of Science and Technology
Numerical Analysis
Computational Fluid dynamics
High Performance Computing
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Citations & Impact
All-time
Citations
1,383
H-index
21
i10-index
36
Publications
20
Co-authors
95
list available
Contact
Email
matteo.parsani@kaust.edu.sa
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Publications
1 items
VeMo: A Lightweight Data-Driven Approach to Model Vehicle Dynamics
2025
Cited
0
Resume (English only)
Academic Achievements
Published several top conference papers, received Best Student Paper Award.
Research Experience
Former Google AI Researcher, involved in multiple NLP projects.
Education
Ph.D., Stanford University, Advisor: Prof. Zhang; 2015-2020, Major: Computer Science.
Background
Research interests include machine learning, natural language processing; specialized in computer science.
Miscellany
Enjoys traveling and reading science fiction.
Co-authors
95 total
Co-author 1
Co-author 2
Co-author 3
Co-author 4
David C. Del Rey Fernández
University of Waterloo, Department of Applied Mathematics
Co-author 6
Co-author 7
David E. Keyes
Professor of Applied Mathematics and Computational Science, KAUST
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