Hesam Salehipour
Principal Computational Physics Research Scientist
Americas
Biography
Hesam is a computational physics research scientist with a deep interest in computational fluid dynamics, PDE-constraint optimization, reduced order modelling and physics-based machine learning. He obtained his PhD in Physics from the University of Toronto after finishing his MSc in Mechanical Engineering from the University of Massachusetts. Hesam’s past academic research projects ranges from high-fidelity simulation of geophysical turbulent flows to low-fidelity modelling of bio-inspired flying vehicles, from developing massively parallel physics solvers to integrating deep neural networks with simulation data.
Publications (4)
2024
Optimal Design of Vehicle Dynamics Using Gradient-Based, Mixed-Fidelity Multidisciplinary OptimizationThis research showcases a multidisciplinary approach to optimize a…
2024
Reduced-order modeling of unsteady fluid flow using neural network ensemblesA framework to enhance the accuracy of time-series predictions in…
2024
Optimized GPU Implementation of Grid Refinement in Lattice Boltzmann MethodOptimized GPU-accelerated algorithm for implementing grid refinement…
Blog Articles
2024
Handcrafting Non-uniform Grid Refinement for Modern GPUsLearn about a new methodology that carefully orchestrates the parallel…
2023
Accelerating Scientific Computing with JAX-LBMExploring the fusion of JAX and LBM for ground-breaking research in…
Be part of it
Join our diverse team of scientists and industry experts to help us lead the future of design.
Search Careers