Raihan Tayeb is a CFD Modeler with a PhD in Mechanical Engineering and eight years of experience translating advanced multiphase heat-transfer research into practical industrial solutions for automotive and HVAC systems. He designs and runs large-scale particle-resolved and conjugate heat transfer simulations—sometimes exceeding one million particles—using custom high-performance solvers that integrate machine learning, MPI/OpenMP, and GPU (CUDA) acceleration. His work at Gallagher-Kaiser includes energy-cutting innovations such as a CO2 heat pump that halved oven energy use and flow-optimizing perforated plates, alongside data-center thermal design informed by ASHRAE weather analysis. A prolific researcher and developer, he has published multiple peer-reviewed papers and built bespoke CFD tools (CVOFLS-DPD, FVM-DEM, SPHContact) that couple fluid dynamics, chemical reactions, and particle interactions. He also brings teaching and hands-on lab experience in SolidWorks, RSLogix, and experimental thermo-fluids, making him effective at bridging simulation, experiment, and practical engineering.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Mechanical Engineering, 3.70, Bachelor of Science - BS, Mechanical Engineering, 3.70 at Bangladesh University of Engineering and Technology
Contributions:21 commits, 20 pushes, 1 branch in 2 days
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Raihan Tayeb - CFD Modeler at Gallagher-Kaiser Corporation