Skip to content
View malihass's full-sized avatar

Block or report malihass

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
malihass/README.md

Malik Hassanaly

[Homepage] [Google Scholar] [ResearchGate]

I am currently a Researcher in Computational Science and Machine Learning at the National Renewable Energy Laboratory (NREL)

🤓 Work projects

I work on scientific machine learning projects using mostly Tensorflow and sometimes Pytorch. I have developed generative modeling techniques for data augmentation, data reduction and rare event probability estimation.

diversitySR Phase-space-sampling GANISP

I develop surrogate models using physics-informed neural nets to accelerate parameter identification for Li-ion battery models.

PINNSTRIPES

I also develop code for high-performance computing on CPU/GPU architectures. Lately, I have been developing HPC code for analytically reduced chemistry using symbolic mathematics.

PelePhysics

I am also working on scaling up the generative modeling regularization techniques I developed to handle large atmospheric datasets

sup3r

I develop tools generate OpenFOAM meshes that adapt to geometrical parameter variations. This is particularly useful for geometry optimization.

BiRD

Working on developing uncertainty propagation tools for Large eddy simulations.

mluq-prop

🧰 Work tools

A tool box for journal quality plotting, for input parsing and progress bar display

prettyPlot

😎 Fun stuff

I also develop fun projects to organize Secret Santa 🎅 remotely or settling intense Poker games ♠️.

SecretSanta PokerSplit

How to reach me

I'm always happy to hear about new oppportunities!

malik[dot]hassanaly[at]nrel!dot!gov

Pinned Loading

  1. NREL/diversity_SR NREL/diversity_SR Public

    Repository for "Adversarial sampling of unknown and high-dimensional conditional distributions" Hassanaly et al.

    Python 4

  2. NREL/Phase-space-sampling NREL/Phase-space-sampling Public

    Reduce a large and high-dimensional dataset by downselecting data uniformly in phase space

    Python 5 4

  3. AMReX-Combustion/PelePhysics AMReX-Combustion/PelePhysics Public

    A collection of physics databases and implementation code for use with the Pele suite of of codes

    C++ 60 52

  4. NREL/sup3r NREL/sup3r Public

    The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolut…

    Python 85 10

  5. NREL/PINNSTRIPES NREL/PINNSTRIPES Public

    Physics-Informed Neural Network SurrogaTe for Rapidly Identifying Parameters in Energy Systems

    Python 20 9

  6. NREL/BioReactorDesign NREL/BioReactorDesign Public

    Bio Reactor Design (BiRD): a toolbox to simulate and analyze different designs of bioreactors in OpenFOAM

    Liquid 9 6