Asad Khan

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

Physics | Teaching Assistant:

Department of Physics, University of Illinois Urbana-Champaign
  • Physics 212 : Electricity and Magnetism (Fall, 2015 - Spring, 2016)
  • Physics 214 : Quantum Physics (Summer, 2016)
  • Physics 211 : Mechanics (Fall, 2016)
  • Physics 221 : Enrichment Mechanics (Spring, 2017)
  • Physics 101 Lab : Mechanics and Heat (Summer, 2018)

    • Deep Learning | Tutorials:

    National Center for Supercomputing Applications
  • Intro. to Deep Learning on HAL (September, 2019)
  • Hands on Deep Learning (October, 2019/20)
  • IPAC / NCSA Machine Learning Workshop, AAS #235 (January, 2020/21)
  • Tutorial on ML/DL for Industry , Phillips 66 (March, 2021)
  • Blue Waters New Frontiers Initiative Webinar Series : Hands-on Introduction to Deep Learning and Computer Vision (April, 2021)
  • C3.ai Digital Transformation Institute : Advanced Machine Learning Algorithms (June, 2021)
  • Center for AI Innovation: Hands-on Introduction to Deep Learning (September, 2021)

  • Center for AI Innovation: Introduction to Tensorflow (September, 2021)
  • Argonne Leadership Computing Facility: Image and Time-Series Datasets (January, 2022)