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Justin Miller - Portfolio of Work

Projects completed during the DECES Sc.M. program at Brown University.


Accelerating the Transient Conduction Heat Transfer Problem w/ GPUs

Developed solver for wire temperature in varying weather conditions using implicit finite difference.
Implemented shared and distributed memory parallelization approaches on a time-space grid using C++, CUDA and MPI to reduce a 1hr Python simulation to a 4 second runtime (when using 4 GPUs).

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Modeling Inverse Heat Transfer using Physics-Informed Neural Networks

Leveraged PINNs to solve inverse heat transfer in a flow around a cylinder with patchy sensor data.
Encoded physical behavior with unknown boundary conditions by incorporating governing PDEs via network loss

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Supercompressible Meta-Material Design using Machine Learning

Examining the predictive strength of various algorithms on ABAQUS FEA sims.
Used SVM, Gaussian Process Regression and NNs to analyze simulated output and generate property

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3D Line Reconstruction: Reviewing LIMAP and CLMAP

Modified LIMAP and CLMAP R&D repositories for practical use on raw video datasets.
Examined scenes from Tanks & Temples dataset, identifying weaknesses and profiling strengths in geometric identification.

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