Curriculum Vitae
Education
- PhD, Computer Science and Applications, Virginia Tech, 2020
- MSc, Electrical and Computer engineering, Ferdowsi University, 2012
- BSc, Electrical and Computer engineering, Shahid Beheshti University 2008
Work experience
- 2021-2022 : Postdoctoral Associate, Virginia Tech
- Physics-informed machine learning for forward and inverse problems.
- 2019: Internship, Toyota Racing Development
- Predictive models based on CFD simulations.
Publications
Talks
Discrete Multirate GARK schems
Talk at SIAM Conference on Computational Science and Engineering 2019, Spokane, WA
Linearly Implicit Genral Linear methods
Talk at SIAM Conference on Computational Science and Engineering 2021, Atlanta, GA
On Time-stepping Methods for Gradient-flow Optimization
Talk at The Canadian Applied and Industrial Mathematics Society /SCMAI 2022, Ontario, CA
Science-guided Machine Learning for Forward, Inverse, and Control Problems
Talk at Grand Valley State University, Michigan, USA
Uncertainty Quantification for SciML using Deep Operator Networks
Talk at Siam Annual Meeting 2024, Spokane, WA
Teaching
Service and leadership
- Peer Reviews:
- SIAM Journal on Scientific Computing (SISC) ISSN: 10957197”
- “International Journal of Computer Mathematics ISSN: 1029-0265”
- “Computing and Visualization in Science ISSN: 1432-9360”
- “Geo-scientific Model Development (GMD)” (Impact factor: 5.1)
- “International Journal for Numerical Methods in Engineering”(Impact factor: 2.7)
- “Journal of Applied Numerical Mathematics (APNUM)”
- “Journal of Computational and Applied Mathematics(JCAM)”
- “International Journal of Applied Mechanics (IJAM)”
- Organization: