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

Publication

2024

Optimized GPU Implementation of Grid Refinement in Lattice Boltzmann Method

Optimized GPU-accelerated algorithm for implementing grid refinement…

Publication

2024

XLB: A Differentiable Massively Parallel Lattice Boltzmann Library in Python

This research introduces the XLB library, a scalable Python-based…

Blog Articles

Article

2023

Accelerating Scientific Computing with JAX-LBM

Exploring the fusion of JAX and LBM for ground-breaking research in…

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