Asad Khan

| Deep Learning |
| High Performance Computing |
| Multimessenger Astrophysics |

Projects:

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DES Galaxy Classification

Transfer Learning through Convolutional Neural Networks to do unsupervised clustering of Galaxies in the DR1 dataset.

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Scaling Deep Learning

Parallelizing the training of Deep Neural Networks on multiple GPUs

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LSST Challenge

The Photometric LSST Astronomical Time-Series Classification Challenge (PLAsTiCC)

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Image source: Ashley Mackenzie

Upcoming Projects

Coming Soon! Stay Tuned!

Publications:

  1. Deep learning at scale for the construction of galaxy catalogs in the Dark Energy Survey, Physics Letters B, arXiv:1812.02183
  2. Enabling real-time multi-messenger astrophysics discoveries with deep learning, Nature Reviews Physics, arXiv:1911.11779
  3. Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure arXiv:1902.00522
  4. 280 GHz Focal Plane Unit Design and Characterization for the SPIDER-2 Suborbital Polarimeter arXiv:1711.04169v2